Senior Systems Engineer jobs at Accenture

WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X. THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: * Take ownership of complex projects, serving as the technical and subject matter expert * Write new code or modify existing code, and document what you've done * Help the head architect and solution team design tools and applications, and get them working based on project goals * Record how each application is configured and designed * Catch and fix coding problems, and tweak and improve your work along the way * Test applications and build test cases and scenarios * Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Qualification Here's what you need: * At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) * At least 2 years of experience of PLM concepts and solutions * At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: * You're skilled at developing APIs * You have experience in Master Data Management (MDM) * You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) * You can handle large data migration * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Locations

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Respond effectively to the diverse perspectives, needs, and feelings of others. * Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. * Use critical thinking to break down complex concepts. * Understand the broader objectives of your project or role and how your work fits into the overall strategy. * Develop a deeper understanding of the business context and how it is changing. * Use reflection to develop self awareness, enhance strengths and address development areas. * Interpret data to inform insights and recommendations. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you leverage your proficiency in programming languages and cloud platforms to design and implement data architecture strategies that meet business needs. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. You collaborate with business stakeholders to translate data requirements into technical solutions, safeguarding data quality and system reliability. Responsibilities * Design and implement data architecture strategies aligned with business objectives * Collaborate with stakeholders to convert data requirements into technical solutions * Maintain data integrity and system dependability * Guide and mentor team members to uphold exemplary standards * Analyze intricate problems to deliver impactful solutions * Build and nurture meaningful client relationships * Navigate uncertain situations with confidence and adaptability * Utilize programming languages and cloud platforms to enhance data solutions What You Must Have * Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics * 3 years of experience What Sets You Apart * Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate,] is a plus * Skilled in programming languages like Python, Java, Scala * Proficient in SQL and relational databases * Experience with Docker and containerized deployments * Familiarity with AI techniques enhancing LLMs * Experience in prompt engineering for LLM outputs * Designing thorough data architecture strategies * Implementing data integration solutions using cloud services * Managing data warehouses and data lakes Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you leverage your proficiency in programming languages and cloud platforms to design and implement data architecture strategies that meet business needs. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. You collaborate with business stakeholders to translate data requirements into technical solutions, safeguarding data quality and system reliability. Responsibilities - Design and implement data architecture strategies aligned with business objectives - Collaborate with stakeholders to convert data requirements into technical solutions - Maintain data integrity and system dependability - Guide and mentor team members to uphold exemplary standards - Analyze intricate problems to deliver impactful solutions - Build and nurture meaningful client relationships - Navigate uncertain situations with confidence and adaptability - Utilize programming languages and cloud platforms to enhance data solutions What You Must Have - Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 3 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate,] is a plus - Skilled in programming languages like Python, Java, Scala - Proficient in SQL and relational databases - Experience with Docker and containerized deployments - Familiarity with AI techniques enhancing LLMs - Experience in prompt engineering for LLM outputs - Designing thorough data architecture strategies - Implementing data integration solutions using cloud services - Managing data warehouses and data lakes Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Craft and convey clear, impactful and engaging messages that tell a holistic story. * Apply systems thinking to identify underlying problems and/or opportunities. * Validate outcomes with clients, share alternative perspectives, and act on client feedback. * Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. * Deepen and evolve your expertise with a focus on staying relevant. * Initiate open and honest coaching conversations at all levels. * Make difficult decisions and take action to resolve issues hindering team effectiveness. * Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: * Strong proficiency in Python and experience with structured and unstructured data. * Strong proficiency in SQL and experience with relational databases. * Experience writing and maintaining FastAPI endpoints for scalable applications. * Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. * Experience in prompt engineering for optimizing LLM outputs. * Experience with AI, GenAI, and machine learning and data science workflows. * Experience with machine learning and data science workflows is a plus. * Experienced in high software quality through developer-led testing, validation, and best practices. * Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. * Knowledge of software development workflows and CI/CD pipelines. * Work with Docker, including writing Docker files and managing containerized deployments. * Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. * Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. * Design and manage data warehouses and data lakes, ensuring data is organized and accessible. * Design and implement comprehensive data architecture strategies that meet the current and future business needs. * Develop and document data or system models, flow diagrams, and architecture guidelines. * Ensure data architecture is compliant with data governance and data security policies. * Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. * Evaluate and recommend new data technologies and tools to enhance data architecture. * Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. * Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. * Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. * Optimize Cloud resources for cost, performance, and scalability. * Knowledge of data governance and data security best practices. * Strong analytical, problem-solving, and communication skills. * Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: * Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; * Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; * Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, * Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Craft and convey clear, impactful and engaging messages that tell a holistic story. + Apply systems thinking to identify underlying problems and/or opportunities. + Validate outcomes with clients, share alternative perspectives, and act on client feedback. + Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. + Deepen and evolve your expertise with a focus on staying relevant. + Initiate open and honest coaching conversations at all levels. + Make difficult decisions and take action to resolve issues hindering team effectiveness. + Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: + Strong proficiency in Python and experience with structured and unstructured data. + Strong proficiency in SQL and experience with relational databases. + Experience writing and maintaining FastAPI endpoints for scalable applications. + Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. + Experience in prompt engineering for optimizing LLM outputs. + Experience with AI, GenAI, and machine learning and data science workflows. + Experience with machine learning and data science workflows is a plus. + Experienced in high software quality through developer-led testing, validation, and best practices. + Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. + Knowledge of software development workflows and CI/CD pipelines. + Work with Docker, including writing Docker files and managing containerized deployments. + Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. + Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. + Design and manage data warehouses and data lakes, ensuring data is organized and accessible. + Design and implement comprehensive data architecture strategies that meet the current and future business needs. + Develop and document data or system models, flow diagrams, and architecture guidelines. + Ensure data architecture is compliant with data governance and data security policies. + Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. + Evaluate and recommend new data technologies and tools to enhance data architecture. + Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. + Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. + Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. + Optimize Cloud resources for cost, performance, and scalability. + Knowledge of data governance and data security best practices. + Strong analytical, problem-solving, and communication skills. + Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: + Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; + Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; + Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, + Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: *********************************** \#LI-Hybrid

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you leverage your proficiency in programming languages and cloud platforms to design and implement data architecture strategies that meet business needs. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. You collaborate with business stakeholders to translate data requirements into technical solutions, safeguarding data quality and system reliability. Responsibilities - Design and implement data architecture strategies aligned with business objectives - Collaborate with stakeholders to convert data requirements into technical solutions - Maintain data integrity and system dependability - Guide and mentor team members to uphold exemplary standards - Analyze intricate problems to deliver impactful solutions - Build and nurture meaningful client relationships - Navigate uncertain situations with confidence and adaptability - Utilize programming languages and cloud platforms to enhance data solutions What You Must Have - Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 3 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate,] is a plus - Skilled in programming languages like Python, Java, Scala - Proficient in SQL and relational databases - Experience with Docker and containerized deployments - Familiarity with AI techniques enhancing LLMs - Experience in prompt engineering for LLM outputs - Designing thorough data architecture strategies - Implementing data integration solutions using cloud services - Managing data warehouses and data lakes Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you leverage your proficiency in programming languages and cloud platforms to design and implement data architecture strategies that meet business needs. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. You collaborate with business stakeholders to translate data requirements into technical solutions, safeguarding data quality and system reliability. Responsibilities - Design and implement data architecture strategies aligned with business objectives - Collaborate with stakeholders to convert data requirements into technical solutions - Maintain data integrity and system dependability - Guide and mentor team members to uphold exemplary standards - Analyze intricate problems to deliver impactful solutions - Build and nurture meaningful client relationships - Navigate uncertain situations with confidence and adaptability - Utilize programming languages and cloud platforms to enhance data solutions What You Must Have - Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 3 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate,] is a plus - Skilled in programming languages like Python, Java, Scala - Proficient in SQL and relational databases - Experience with Docker and containerized deployments - Familiarity with AI techniques enhancing LLMs - Experience in prompt engineering for LLM outputs - Designing thorough data architecture strategies - Implementing data integration solutions using cloud services - Managing data warehouses and data lakes Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Craft and convey clear, impactful and engaging messages that tell a holistic story. * Apply systems thinking to identify underlying problems and/or opportunities. * Validate outcomes with clients, share alternative perspectives, and act on client feedback. * Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. * Deepen and evolve your expertise with a focus on staying relevant. * Initiate open and honest coaching conversations at all levels. * Make difficult decisions and take action to resolve issues hindering team effectiveness. * Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: * Strong proficiency in Python and experience with structured and unstructured data. * Strong proficiency in SQL and experience with relational databases. * Experience writing and maintaining FastAPI endpoints for scalable applications. * Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. * Experience in prompt engineering for optimizing LLM outputs. * Experience with AI, GenAI, and machine learning and data science workflows. * Experience with machine learning and data science workflows is a plus. * Experienced in high software quality through developer-led testing, validation, and best practices. * Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. * Knowledge of software development workflows and CI/CD pipelines. * Work with Docker, including writing Docker files and managing containerized deployments. * Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. * Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. * Design and manage data warehouses and data lakes, ensuring data is organized and accessible. * Design and implement comprehensive data architecture strategies that meet the current and future business needs. * Develop and document data or system models, flow diagrams, and architecture guidelines. * Ensure data architecture is compliant with data governance and data security policies. * Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. * Evaluate and recommend new data technologies and tools to enhance data architecture. * Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. * Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. * Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. * Optimize Cloud resources for cost, performance, and scalability. * Knowledge of data governance and data security best practices. * Strong analytical, problem-solving, and communication skills. * Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: * Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; * Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; * Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, * Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Craft and convey clear, impactful and engaging messages that tell a holistic story. + Apply systems thinking to identify underlying problems and/or opportunities. + Validate outcomes with clients, share alternative perspectives, and act on client feedback. + Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. + Deepen and evolve your expertise with a focus on staying relevant. + Initiate open and honest coaching conversations at all levels. + Make difficult decisions and take action to resolve issues hindering team effectiveness. + Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: + Strong proficiency in Python and experience with structured and unstructured data. + Strong proficiency in SQL and experience with relational databases. + Experience writing and maintaining FastAPI endpoints for scalable applications. + Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. + Experience in prompt engineering for optimizing LLM outputs. + Experience with AI, GenAI, and machine learning and data science workflows. + Experience with machine learning and data science workflows is a plus. + Experienced in high software quality through developer-led testing, validation, and best practices. + Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. + Knowledge of software development workflows and CI/CD pipelines. + Work with Docker, including writing Docker files and managing containerized deployments. + Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. + Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. + Design and manage data warehouses and data lakes, ensuring data is organized and accessible. + Design and implement comprehensive data architecture strategies that meet the current and future business needs. + Develop and document data or system models, flow diagrams, and architecture guidelines. + Ensure data architecture is compliant with data governance and data security policies. + Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. + Evaluate and recommend new data technologies and tools to enhance data architecture. + Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. + Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. + Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. + Optimize Cloud resources for cost, performance, and scalability. + Knowledge of data governance and data security best practices. + Strong analytical, problem-solving, and communication skills. + Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: + Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; + Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; + Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, + Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: *********************************** \#LI-Hybrid

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Craft and convey clear, impactful and engaging messages that tell a holistic story. * Apply systems thinking to identify underlying problems and/or opportunities. * Validate outcomes with clients, share alternative perspectives, and act on client feedback. * Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. * Deepen and evolve your expertise with a focus on staying relevant. * Initiate open and honest coaching conversations at all levels. * Make difficult decisions and take action to resolve issues hindering team effectiveness. * Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: * Strong proficiency in Python and experience with structured and unstructured data. * Strong proficiency in SQL and experience with relational databases. * Experience writing and maintaining FastAPI endpoints for scalable applications. * Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. * Experience in prompt engineering for optimizing LLM outputs. * Experience with AI, GenAI, and machine learning and data science workflows. * Experience with machine learning and data science workflows is a plus. * Experienced in high software quality through developer-led testing, validation, and best practices. * Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. * Knowledge of software development workflows and CI/CD pipelines. * Work with Docker, including writing Docker files and managing containerized deployments. * Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. * Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. * Design and manage data warehouses and data lakes, ensuring data is organized and accessible. * Design and implement comprehensive data architecture strategies that meet the current and future business needs. * Develop and document data or system models, flow diagrams, and architecture guidelines. * Ensure data architecture is compliant with data governance and data security policies. * Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. * Evaluate and recommend new data technologies and tools to enhance data architecture. * Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. * Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. * Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. * Optimize Cloud resources for cost, performance, and scalability. * Knowledge of data governance and data security best practices. * Strong analytical, problem-solving, and communication skills. * Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: * Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; * Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; * Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, * Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Craft and convey clear, impactful and engaging messages that tell a holistic story. + Apply systems thinking to identify underlying problems and/or opportunities. + Validate outcomes with clients, share alternative perspectives, and act on client feedback. + Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. + Deepen and evolve your expertise with a focus on staying relevant. + Initiate open and honest coaching conversations at all levels. + Make difficult decisions and take action to resolve issues hindering team effectiveness. + Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: + Strong proficiency in Python and experience with structured and unstructured data. + Strong proficiency in SQL and experience with relational databases. + Experience writing and maintaining FastAPI endpoints for scalable applications. + Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. + Experience in prompt engineering for optimizing LLM outputs. + Experience with AI, GenAI, and machine learning and data science workflows. + Experience with machine learning and data science workflows is a plus. + Experienced in high software quality through developer-led testing, validation, and best practices. + Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. + Knowledge of software development workflows and CI/CD pipelines. + Work with Docker, including writing Docker files and managing containerized deployments. + Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. + Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. + Design and manage data warehouses and data lakes, ensuring data is organized and accessible. + Design and implement comprehensive data architecture strategies that meet the current and future business needs. + Develop and document data or system models, flow diagrams, and architecture guidelines. + Ensure data architecture is compliant with data governance and data security policies. + Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. + Evaluate and recommend new data technologies and tools to enhance data architecture. + Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. + Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. + Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. + Optimize Cloud resources for cost, performance, and scalability. + Knowledge of data governance and data security best practices. + Strong analytical, problem-solving, and communication skills. + Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: + Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; + Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; + Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, + Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: *********************************** \#LI-Hybrid

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Craft and convey clear, impactful and engaging messages that tell a holistic story. * Apply systems thinking to identify underlying problems and/or opportunities. * Validate outcomes with clients, share alternative perspectives, and act on client feedback. * Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. * Deepen and evolve your expertise with a focus on staying relevant. * Initiate open and honest coaching conversations at all levels. * Make difficult decisions and take action to resolve issues hindering team effectiveness. * Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: * Strong proficiency in Python and experience with structured and unstructured data. * Strong proficiency in SQL and experience with relational databases. * Experience writing and maintaining FastAPI endpoints for scalable applications. * Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. * Experience in prompt engineering for optimizing LLM outputs. * Experience with AI, GenAI, and machine learning and data science workflows. * Experience with machine learning and data science workflows is a plus. * Experienced in high software quality through developer-led testing, validation, and best practices. * Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. * Knowledge of software development workflows and CI/CD pipelines. * Work with Docker, including writing Docker files and managing containerized deployments. * Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. * Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. * Design and manage data warehouses and data lakes, ensuring data is organized and accessible. * Design and implement comprehensive data architecture strategies that meet the current and future business needs. * Develop and document data or system models, flow diagrams, and architecture guidelines. * Ensure data architecture is compliant with data governance and data security policies. * Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. * Evaluate and recommend new data technologies and tools to enhance data architecture. * Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. * Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. * Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. * Optimize Cloud resources for cost, performance, and scalability. * Knowledge of data governance and data security best practices. * Strong analytical, problem-solving, and communication skills. * Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: * Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; * Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; * Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, * Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Craft and convey clear, impactful and engaging messages that tell a holistic story. + Apply systems thinking to identify underlying problems and/or opportunities. + Validate outcomes with clients, share alternative perspectives, and act on client feedback. + Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. + Deepen and evolve your expertise with a focus on staying relevant. + Initiate open and honest coaching conversations at all levels. + Make difficult decisions and take action to resolve issues hindering team effectiveness. + Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Demonstrates in-depth abilities and/or success in one or many of the following areas: + Strong proficiency in Python and experience with structured and unstructured data. + Strong proficiency in SQL and experience with relational databases. + Experience writing and maintaining FastAPI endpoints for scalable applications. + Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. + Experience in prompt engineering for optimizing LLM outputs. + Experience with AI, GenAI, and machine learning and data science workflows. + Experience with machine learning and data science workflows is a plus. + Experienced in high software quality through developer-led testing, validation, and best practices. + Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. + Knowledge of software development workflows and CI/CD pipelines. + Work with Docker, including writing Docker files and managing containerized deployments. + Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. + Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. + Design and manage data warehouses and data lakes, ensuring data is organized and accessible. + Design and implement comprehensive data architecture strategies that meet the current and future business needs. + Develop and document data or system models, flow diagrams, and architecture guidelines. + Ensure data architecture is compliant with data governance and data security policies. + Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. + Evaluate and recommend new data technologies and tools to enhance data architecture. + Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. + Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. + Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. + Optimize Cloud resources for cost, performance, and scalability. + Knowledge of data governance and data security best practices. + Strong analytical, problem-solving, and communication skills. + Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: + Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; + Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; + Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, + Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: *********************************** \#LI-Hybrid

Veeva CTMS Systems Lead 8+ month contract 100% remote This role will bethe designated system owner and strategic lead for Veeva CTMS and its cross-functional integrations. It is responsible for ensuring system stability, driving roadmap decisions, and partnering with business and IT to mature the CTMS landscape. Key Responsibilities Own the end-to-end lifecycle of Veeva CTMS, including roadmap, enhancements, releases, and configuration. Lead cross-system governance for CTMS ↔ eTMF ↔ Site Connector ↔ QMS. Establish ownership models for connectors and data pipelines that currently lack defined structure. Partner with business stakeholders to translate needs into functional requirements. Oversee testing, validation documentation, and change control for all CTMS-related releases. Act as escalation point for system issues and recurring defects. Provide direction and guidance to Business Admin/Business Analyst hybrid roles. Collaborate with global teams to harmonize trial data standards, workflows, and reporting layers. Desired Experience & Skills 5-8+ years with Veeva CTMS as admin, system owner, or functional lead. Strong understanding of clinical study lifecycle and operational processes. Proven experience managing integrations and cross-system dependencies. Familiarity with validation requirements for GxP-regulated systems. Ability to influence stakeholders and lead global governance discussions. If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **WAF Operations Solution Engineer** **PRACTICE DESCRIPTION:** As a WAF Operations Solution Engineer, you will be responsible for implementing and managing Web Application Firewall (WAF) solutions to protect client applications from cyber threats. You will work within a team of cybersecurity professionals to establish effective security measures that safeguard web applications and data. **JOB SUMMARY:** In the role of WAF Operations Solution Engineer, you will configure and provide ongoing operational coverage of web application firewalls to maintain optimal performance and security for client applications. The primary purpose of this role is to assist with change requests and support problem resolution to uphold the integrity of web applications. You will actively monitor application traffic, analyze security events, and respond to incidents to mitigate risks effectively. Additionally, you will collaborate with cross-functional teams to enhance the overall security posture of web applications, leveraging your experience with various WAF solutions to implement and automate security measures. **KEY RESPONSIBILITIES:** + Configure, manage, and optimize WAF solutions to establish effective security controls for web applications. + Provide ongoing operational coverage of web application firewalls, ensuring they function correctly and efficiently. + Monitor application traffic and security events to identify potential threats and vulnerabilities. + Conduct thorough analysis of security incidents, including root cause analysis and remediation efforts. + Collaborate with incident response teams to investigate and respond to security incidents in a timely manner. + Develop and maintain WAF policies, rules, and documentation to align with best practices and compliance requirements. + Provide support for security audits and assessments, promoting adherence to security standards and policies. + Stay current with emerging threats, vulnerabilities, and security technologies to enhance the organization's security posture. + Utilize various WAF solutions, including Cloudflare and Imperva, for implementation and management, ensuring optimal configuration and performance. + Leverage Terraform for infrastructure as code (IaC) to automate the deployment and management of WAF solutions. + Mentor junior engineers and provide guidance on WAF management and incident response processes. **QUALIFICATIONS:** + Bachelor's degree in computer science, Information Technology, Cybersecurity, or a related field preferred. + 3-5 years of experience in web application security operations, with a focus on WAF management. + Hands-on experience with WAF solutions such as Cloudflare and Imperva is required. + Proficiency in using Terraform for infrastructure automation is preferred. + Strong understanding of web application protocols, security principles, and best practices. + Familiarity with ITIL processes and ticketing systems for incident management. + Relevant certifications (e.g., CISSP, Security+) are a plus. + Excellent analytical, problem-solving, and communication skills. + Ability to work independently and collaboratively in a fast-paced environment. **WHAT WE OFFER:** At EY, we are committed to your professional development and career growth. You will have access to continuous training and mentorship, enabling you to enhance your skills and advance your career in cybersecurity. Join us in building a more secure and trusted working world. **Ernst & Young LLP is an equal employment opportunity employer. We value the diversity of our workforce and the knowledge of our people.** **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $77,500 to $140,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $92,900 to $160,500. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X (*************************************************************************** . THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: + Take ownership of complex projects, serving as the technical and subject matter expert + Write new code or modify existing code, and document what you've done + Help the head architect and solution team design tools and applications, and get them working based on project goals + Record how each application is configured and designed + Catch and fix coding problems, and tweak and improve your work along the way + Test applications and build test cases and scenarios + Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: + At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) + At least 2 years of experience of PLM concepts and solutions + At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: + You're skilled at developing APIs + You have experience in Master Data Management (MDM) + You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) + You can handle large data migration + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X (*************************************************************************** . THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: + Take ownership of complex projects, serving as the technical and subject matter expert + Write new code or modify existing code, and document what you've done + Help the head architect and solution team design tools and applications, and get them working based on project goals + Record how each application is configured and designed + Catch and fix coding problems, and tweak and improve your work along the way + Test applications and build test cases and scenarios + Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: + At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) + At least 2 years of experience of PLM concepts and solutions + At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: + You're skilled at developing APIs + You have experience in Master Data Management (MDM) + You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) + You can handle large data migration + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X (*************************************************************************** . THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: + Take ownership of complex projects, serving as the technical and subject matter expert + Write new code or modify existing code, and document what you've done + Help the head architect and solution team design tools and applications, and get them working based on project goals + Record how each application is configured and designed + Catch and fix coding problems, and tweak and improve your work along the way + Test applications and build test cases and scenarios + Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: + At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) + At least 2 years of experience of PLM concepts and solutions + At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: + You're skilled at developing APIs + You have experience in Master Data Management (MDM) + You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) + You can handle large data migration + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. 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WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X. THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: * Take ownership of complex projects, serving as the technical and subject matter expert * Write new code or modify existing code, and document what you've done * Help the head architect and solution team design tools and applications, and get them working based on project goals * Record how each application is configured and designed * Catch and fix coding problems, and tweak and improve your work along the way * Test applications and build test cases and scenarios * Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Qualification Here's what you need: * At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) * At least 2 years of experience of PLM concepts and solutions * At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: * You're skilled at developing APIs * You have experience in Master Data Management (MDM) * You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) * You can handle large data migration * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Locations