Data engineer jobs in Buffalo, NY

Who we are looking for: The Data Engineering team's mission is to deliver high availability, resilience, and performance as core services for ACV's applications. We design and maintain data ingestion, data transformation pipelines, and databases supporting a wide range of critical tasks that ensure the reliability and scalability of ACV's data platforms. Acting as a key bridge between Infrastructure Operations, Data Infrastructure, Analytics, and Development teams, we provide continuous feedback and insights that enhance platform reliability, functionality, and overall performance. We're looking for a Senior Data Engineer who thrives in a fast-paced, collaborative environment and is passionate about solving complex technical challenges. The ideal candidate has a strong foundation in software development, database design and administration, ETL multi-cloud environments, and in-memory data technologies. You bring deep technical expertise in database and infrastructure architecture, demonstrate strong communication and collaboration skills, and embrace a hands-on, problem-solving mindset to tackle ACV's most challenging data engineering problems. What you will do: As a Data Engineer at ACV Auctions, you'll have fun solving challenging problems! You'll design, develop, and optimize data solutions that power key business insights and applications. Your responsibilities include building and maintaining ETL pipelines, designing and building scalable database platforms, designing scalable application architectures, tuning databases and SQL queries for peak performance. You'll collaborate closely with other data engineers and data scientists to create innovative solutions for ACV's most complex data and software challenges. Success in this role means thriving in a high-performing team, balancing quality delivery with customer focus, and demonstrating a proven ability to lead and deliver in a fast-paced environment. Design, develop, and maintain scalable ETL pipelines using Python and SQL to ingest, process, and transform data from diverse sources. Write clean, efficient, and well-documented code in Python and SQL. Use Git for version control and collaborate effectively with other engineers through pull requests and code reviews. Implement and manage data orchestration workflows using industry-standard tools Apply a strong understanding of data structures (arrays, dictionaries, strings, trees, nodes, graphs, linked lists) to optimize data processing and storage performance. Support multi-cloud application development and cross-environment data solutions. Contribute to and influence technical standards for product and service development, including testing, debugging, performance optimization, and technology selection. Defines standards for database operations, monitoring, and security. Support all phases of application and data development, with a focus on MySQL and PostgreSQL database design and optimization. Help define and uphold company-wide engineering standards for tooling, languages, and build systems. Leverage monitoring and observability tools to ensure high performance, reliability, and availability; partner with operations and engineering to proactively address issues. Ensure that all data development adheres to company standards for readability, reliability, and performance. Collaborate with internal teams on transactional and analytical schema design. Conduct code reviews, maintain high-quality documentation, and develop comprehensive test suites. Troubleshoot and resolve complex technical issues efficiently and effectively. Mentor junior data engineers and contribute to team growth through coaching and knowledge sharing. Lead and participate in technical discussions, innovation sessions, and engineering tech talks. Explore and evaluate new technologies, architectural improvements, and implementation strategies to advance the company's data capabilities. Participate in the on-call rotation to ensure platform reliability and timely issue resolution. What you will need: Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience) Ability to read, write, speak, and understand English. 5+ years of experience with database engineering and administration 5+ years of experience with Cloud platforms preferably in AWS or GCP 5+ years of experience programming in Python 3+ years of experience working with Terraform/Infrastructure as Code concepts 3+ years work with continuous integration and build tools Experience with database security principles and best practices, database architecture, infrastructure, performance tuning, and optimization techniques. Experience with in-memory data processing Exposure to data pipelines, streaming platforms, or big data ecosystems (Kafka, Spark) Experience with database monitoring and diagnostic tools, preferably Data Dog. Experience with Domain Driven Design. Experience working with data warehousing concepts and technologies, including dimensional modeling and ETL frameworks Proficiency in SQL query writing and optimization. Familiarity with Kubernetes, Docker, or containerized database deployments Familiarity with ETL workflow implementation (Airflow, Python) Hands-on skills and the ability to drill deep into the complex system design and implementation. Strong communication and collaboration skills, with the ability to work effectively in a fast paced global team environment. Compensation: $130,000.00-170,000.00 annually. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law. No immigration or work visa sponsorship will be provided for this position. #LI-SL1

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Guardian does business. Guardian's Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Guardian created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Guardian's transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Data Scientist, Agentic AI-an experienced individual contributor with strong experience in Agentic AI, large language models (LLMs), and natural language processing (NLP) and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Guardian operates, serves customers, and drives growth. You'll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Guardian's products and services. You Will: Key Responsibilities Design and implement Agentic AI solutions that automate business workflows, improve decision-making, and enhance customer and employee experiences. Apply LLMs and generative AI to process and interpret unstructured data such as contracts, underwriting notes, claims, medical records, and customer interactions. Develop autonomous agents and reasoning systems that integrate with Guardian's platforms to deliver measurable business outcomes. Collaborate with data engineers and AIOps teams to ensure models are scalable, robust, and production-ready. Translate research in agentic AI and reinforcement learning into practical applications for underwriting, claims automation, customer servicing, and risk assessment. Work closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact. Contribute to the Data Science Lab by building reusable components and frameworks for developing and deploying agentic AI solutions. Adhere to AI and LLM governance, documentation, testing, and other best practices in partnership with key stakeholders. You are: Passionate about applying advanced AI techniques to solve real-world business challenges. Curious about agentic AI, autonomous systems, and LLM-based solutions that transform industries. A hands-on builder who enjoys moving solutions from prototype to deployment. Comfortable collaborating in cross-functional teams and aligning technical solutions with business goals. You have: PhD with 0-1 years of experience, Master's degree with 2+ years, or Bachelor's degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or related field. Experience in insurance industry (Underwriting Experience is Preferred) 2+ years of hands-on experience in AI/ML modeling and development. Solid understanding of probability, statistics, and machine learning fundamentals. Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, and LangGraph. Experience with LLMs, generative AI, and multi-step reasoning systems. Excellent problem-solving and analytical skills with attention to detail. Strong communication skills and ability to collaborate effectively with product and engineering teams. Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, ...). Working knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Bethlehem, PA, or Boston, MA Work Authorization Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship now or in the future. Salary Range: $95,170.00 - $156,355.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at ************************************************ Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact *************. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. Visa Sponsorship Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position SummaryWe're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. Key Responsibilities:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads. Required Qualifications5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines. Strong proficiency in SQL and experience in developing complex queries. Familiarity with py Spark, DBT, or other similar frameworks. Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). Understanding of data warehousing concepts, dimensional modeling, and building data marts. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred QualificationsKnowledge of data governance best practices in a cloud environment. Experience with machine learning flows on GCP. Experience with data design in BigQueryExperience working with the Epic data model. Experience working with healthcare data (Tuva or OMOP Models a plus). Education and ExperienceCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$83,430. 00 - $222,480. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 12/29/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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. Technology - Data and Decision Science - Data Engineering - Senior We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. The opportunity In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Your key responsibilities As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: Designing, building, and operating scalable on-premises or cloud data architecture. Analyzing business requirements and translating them into technical specifications. Optimizing data flows for target data platform designs. Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. Ensure data quality, integrity, and security throughout the data lifecycle. Provide technical guidance and mentorship to junior data engineers and team members. Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. Skills and attributes for success To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: Strong analytical and decision-making skills. Proficiency in cloud computing and data architecture design. Experience in data integration and security. Ability to manage complex problem-solving scenarios. To qualify for the role, you must have A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. 5+ years of experience in data engineering, with a focus on cloud data solutions. Expertise in Databricks and experience with Spark for big data processing. Proven experience in at least two end-to-end data engineering implementations, including: Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. Strong programming skills in languages such as Python, Scala, or SQL. Experience with data modeling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills, with a focus on client management. Required Expertise for Senior Consulting Projects: Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives. Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption. Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies. Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes. Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. Ideally, you'll also have Experience with data quality management. Familiarity with semantic layers in data architecture. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Knowledge of data governance and compliance standards. Experience with machine learning frameworks and tools. What we look for We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID 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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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 **************************.

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges. In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India. We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Job Description Data Modeler JD: Requirement analysis skill Discussion with solution architects and business SME and onsite coordinator and other stakeholders Preparing conceptual, logical, Physical data model OLTP and OLAP data modeling skills Hands on experience in ER Studio / Erwin Reviewing with enterprise architects Knowledge on Data analysis, Data profiling using SQL's Hands on experience in Teradata Additional Information GOOD COMMUNICATION SKILLS DURATION: 9+ months

Introduction In this role, you will join IBM Consulting via our world-class Associates Program for university hires. As an Associate Consultant at IBM Consulting, you will have the opportunity to work with a diverse range of clients worldwide. Our clients' technical and business needs are constantly evolving. We're hiring inspired, talented individuals who believe no problem is too big to solve. We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you. A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an entry level Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: * Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques * Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements * Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. * Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. These positions are anticipated to start in 2026. We have positions opened in the Buffalo, New York Client Innovation Center. Required education Bachelor's Degree Required technical and professional expertise * Ability to incorporate a variety of statistical and machine learning techniques * Basic understanding of Cloud (AWS,Azure, etc) * Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer * Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. * Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Required work location: * Must be local to your assigned Client Innovation Center location or willing to relocate prior to your start date at your own expense * Average onsite work requirement of 3 days per week * Willingness to travel up to 100% as needed per project assignment requirements. Preferred technical and professional experience * Basic understanding or experience with predictive/prescriptive modeling skills * You thrive on teamwork and have excellent verbal and written communication skills. * Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions * Ability to ask business and industry questions to identify appropriate modeling techniques * Ability to communicate results to technical and non-technical audiences ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! The Data and AI team within Global Payment Solutions (GPS) at Bank of America is looking for a highly technical Research Engineer that is a self-starter who can translate complex concepts and generate actionable insights. Who we are: The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with “think tank” sessions with business teams that is later translated to tangible solutions and products. Representative Projects: Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions Develop AI models that shift foreign currency conversion “up the payment stream,” reducing reliability on beneficiary banks Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality Who we're looking for: As a Research Engineer on the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve. If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. Responsibilities: Frame abstract business problems using advanced data science and machine learning algorithms Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions Own critical research and application development, strengthening the firm's competitive advantage Shape cross-team collaboration to advance the firm's data science capabilities Required Skills: Minimum Bachelor's degree in a quantitative field such as computer science, math, statistics, and physics Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++) Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI) Prior experience working in a highly technical data driven research environment Ability to communicate complex topics in a concise and coherent manner Desired Skills: Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever Are excited to dive into new technical areas on a regular basis Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay and benefits information Pay range$105,000.00 - $193,700.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title: Global Business Process Owner (GBPO) - Engineering Work Schedule: Hybrid - Buffalo, NY Moog's Industrial Group is seeking a visionary and collaborative leader to serve as the Global Business Process Owner (GBPO) - Engineering. You will be responsible for driving the global standardization, optimization, and governance of engineering processes and master data across the Industrial Group. You will play a critical role in enabling business excellence through integrated digital platforms including ERP, CRM, and PLM. As the Product Owner for PLM within Moog's Digital and Industrial Group Centers of Excellence (ECoE), you will lead the development and deployment of harmonized engineering process blueprints, ensuring alignment with business strategy and operational needs. You'll work closely with cross-functional teams across engineering, supply chain, finance, and product management to reduce complexity, eliminate duplication, and improve productivity. Your role will be located in the United States at a Moog site or at one of our Global Moog sites with Engineering capabilities. As a Global Business Process Owner Engineering you will be responsible for… Leading the design, implementation, and continuous improvement of global engineering processes and data standards. Acting as the primary liaison between the Digital-ECoE and IG-ECoE, ensuring alignment and collaboration across global teams. Owning and evolving the IG-PLM blueprint, driving adoption and integration across business units. Partnering with ERP/SAP/CRM/PLM teams to deliver scalable, value-driven process solutions. Facilitating governance and changing management processes to support global deployments and enhancements. Developing and maintaining a business process improvement roadmap and value funnel to deliver recurring operational benefits. Monitoring process performance, identifying trends, and driving data-informed decision-making. To be considered for the Global Business Process Owner Engineering you will need… Bachelor's Degree in Engineering or a related field; MBA preferred. Minimum of 10 years of progressive experience in engineering, operations, or business process leadership. Proven expertise in PLM, ERP, and cross-functional process integration across global environments. Strong understanding of end-to-end business processes including finance, demand planning, product management, and supply chain. Advanced data modeling and analytics capabilities. Exceptional communication and stakeholder engagement skills, with experience influencing across all organizational levels. Demonstrated success in leading change initiatives and building partnerships across cultures and geographies. Ability to work effectively with global, remote, and diverse teams. Approximately 10% Travel: Domestic and International travel. How we care for you: Financial Rewards: great compensation package, annual profit sharing, matching 401k and the ability to participate in Employee Stock Purchase Plan, Flexible Spending and Health Savings Accounts Work/Life Balance: Flexible paid time off, holidays and parental leave program, relocation assistance Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities. Additional site-specific benefits may be offered The base pay range for this opportunity is $USD120,000 - $USD170,000 per year, or equivalent benchmark in Europe. LI-MB Salary Range Transparency: Buffalo, NY $120,000.00-$170,000.00 Annually Salary Range Disclaimer The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. This position requires access to U.S. export-controlled information. EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at ************. No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.

Job Description Zone IT Solutions is seeking a skilled Data Modeler for our team based in Amsterdam, Netherlands. In this role, you will be responsible for designing and maintaining efficient data models to support various business applications and reporting needs. Requirements Proven experience as a Data Modeler, with a strong understanding of database design principles. Minimum of 4 years of experience working with data modeling tools. Experience with relational databases such as SQL Server, Oracle, or MySQL. Familiarity with data warehousing concepts and techniques. Strong analytical skills and ability to interpret complex data sets. Experience with ER modeling and normalization techniques. Excellent communication skills to effectively collaborate with cross-functional teams. Knowledge of ETL processes and tools is a plus. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at *******************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

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. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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 ************************** .

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries. Data Quality & Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Required Qualifications2+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP) Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts. Preferred QualificationsExperience working with healthcare data, especially Epic. Experience using GCP's BigQueryKnowledge of data governance best practices in a cloud environment. Experience working with Machine Learning processes. EducationCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$64,890. 00 - $173,040. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 01/09/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your role and responsibilities Lead Solution Architecture and Presales for Reporting & Analytics solutions for Oracle cloud Consult on AST managed engagements, including implementations and upgrades Design, develop, test, and implement solutions using Oracle Fusion Analytics Warehouse (FAW), Fusion Data Intelligence (FDI), Oracle Analytics Cloud (OAC), OBIEE and Oracle ADWProvide support to Project Team as well as Team members to troubleshoot and help in addressing the problems in applications Provide subject matter expertise in Reporting & Analytics solutions for Oracle cloud Facilitate knowledge transfer Required education Bachelor's Degree Required technical and professional expertise What You Bring: Minimum 10+ years' experience Architect Reporting & Analytics solutions for Oracle cloud Minimum 6+ years of Oracle cloud data model knowledge in HCM, Finance, and Supply chain Must have implementation experience of FAW/FDI using Oracle Analytics Cloud (OAC), OBIEE and Oracle ADW Minimum 10+ years of experience in BI Publisher, OTBI, OAC, OBIEE and Oracle ADW Minimum 5+ years of expertise in building Analytics solutions like Tableau or Power BI Primary focus on developing customer solutions using Oracle's analytics offerings: Oracle Analytics Cloud, Data Visualization, Fusion Analytics for Warehouse (FAW), Fusion Data Intelligence (FDI), OBIEE, OBIA, Machine Learning, and Autonomous Data Warehouse (ADW) Development and maintenance of Oracle Fusion Analytics Warehouse: building data models, reports, and dashboards, end-user training and support, managing data models, data pipelines, security and performing any customizations. Managing users, groups, application roles and data access in FAW environment, customizing as per business needs. Enable FAW augmentation to support external data integration with other data platforms. Should have extensive, hands on, end to end implementation experience using OAC/OBIEE Reporting tools - BI Publisher, Analysis & Dashboards Expertise in design and development of Oracle BI Repository (RPD) solution Experience in configuring OBIEE / OBIA security (Authentication and Authorization - Object level and Data level security) as well as tuning and multiple source systems Advanced knowledge of OBIA pre-built content and experience with customizing/extending OBIA pre-built content of different modules Understanding of Business Intelligence (BI) tools, Data Warehouse (DW), Data Modelling concepts and SQL/PLSQL Knowledge of Database, Cloud Concepts, Autonomous Data warehouse (ADW) ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

At Bank of America, each day brings innovation and opportunity. We are dedicated to turning technology advances into treasury solutions for our clients globally - across all segments and industries. We are looking for highly motivated, self-starters who can advocate for our clients in providing liquidity management, payments and receipts, trade and supply chain finance, FX and commercial card services, by complementing high tech with a personalized touch. Challenge the status quo and influence peers with diverse points of view. Forward thinkers with ability to see what's next in treasury management. The future of treasury management is here at Bank of America. Powered by people. Driven by Technology. The GTS Cross Product Solutions team drives and powers innovation within the one of the largest payment businesses in the world. We act as data science consultants to our business partners and clients across the organization, building end-to-end production level solutions at scale. At the core, the team is a collection of individuals that welcomes challenging problems, because that is where the learning begins. For many of our projects, we begin by hosting “think tank” like sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data and AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build. Our models either in production or in active development leverage cutting edge methods and their applications span across a wide spectrum of business challenges. We are not focused on any niche sets of problems, our mandate is across the entire GTS business (payments, liquidity, pricing, client servicing, etc.) which includes search functionality, optimization, business efficiency and more, requiring a wide range of data science techniques to solve. Required Skills: "Must" have these skills to be minimally qualified. Bachelor's degree in a quantitative field such as: computer science, math, and physics is preferred Extensive experience with common data science toolkits, such as Python, Pandas, NumPy, and Sklearn Strong understanding of regression and classification techniques Great applied statistics skills, such as distributions, statistical testing, etc. Effective communication skills Inclusive and Inspiring: Seeking motivating team players who value collaboration, celebrating shared success and who actively seek and appreciate diverse thoughts and backgrounds Authentic and Passionate: Seeking highly engaged teammates whose intensity and intentions align and are enthusiastic about the work we are doing for our clients and in our communities Innovative and Curious: Seeking teammates with out-of-the box ideas and solutions, who embrace change with a future-forward mindset, and are looking to challenge the status quo Confident and Agile: Seeking strong communicators who value giving and receiving feedback, easily build relationships, and who are quick thinking, flexible, and always learning and sharing knowledge Desired Skills: Graduate level degree in a quantitative field such as, computer science, math, and physics Experience with Excel and PowerPoint Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib Proficiency in using query languages such as SQL and Hive and NoSQL databases, such as MongoDB and Cassandra Shift: 1st shift (United States of America) Hours Per Week: 40

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. Technology - Data and Decision Science - Data Engineering - Manager We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. The opportunity: In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: Understanding and analyzing business requirements to translate them into technical requirements. Designing, building, and operating scalable data architecture and modeling solutions. Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. Key Responsibilities: As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: Leading workstream delivery and ensuring quality in all processes. Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. Skills and attributes for success: To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. Strong analytical and problem-solving abilities. Excellent communication skills, with the ability to convey complex information clearly. Proven experience in managing and delivering projects effectively. Ability to build and manage relationships with clients and stakeholders. To qualify for the role, you must have: Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. Proven expertise in Databricks and experience with Spark for big data processing. Strong background in data architecture and design, with experience in building complex cloud analytics solutions. Experience in leading and managing teams, with a focus on mentoring and developing talent. Strong programming skills in languages such as Python, Scala, or SQL. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills, with a focus on client management. Required Expertise for Managerial Role: Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision. Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption. Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies. Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes. Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. Large-Scale Implementation Programs: Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. Ideally, you'll also have: Experience with advanced data analytics tools and techniques. Familiarity with machine learning concepts and applications. Knowledge of industry trends and best practices in data engineering. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Knowledge of data governance and compliance standards. Experience with machine learning frameworks and tools. What we look for: We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID 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 $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. 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 **************************.

Job Description Zone IT Solutions is in search of a highly skilled Data Architect. In this pivotal role, you will be responsible for designing, implementing, and managing our data architecture strategies to support our business objectives and enhance our data capabilities. Requirements Bachelor's or Master's degree in Computer Science, Information Systems, or related field. Minimum of 6+ years of experience in data architecture, data modeling, and data management. Strong proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, MySQL). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. In-depth understanding of data integration, ETL processes, and data warehousing concepts. Proven experience in designing scalable data solutions for large datasets. Strong analytical and problem-solving skills, with the ability to work under pressure. Excellent communication and collaboration skills to work effectively with cross-functional teams. Familiarity with cloud data solutions (e.g., AWS, Azure, GCP) is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at *******************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Job Description: At Bank of America, each day brings innovation and opportunity. We are dedicated to turning technology advances into payment solutions for our clients globally - across all segments and industries. The Global Payments Solutions Data & AI - Data Strategy and Governance team (DSG) is looking for a Data Governance Lead for Global Transactions Services, part of the GPS team which is a ~$15bn business who will focus on data governance and controls inclusive of governance initiatives, data quality / data testing, and supporting regulatory response. This role will be driving forward DSG team goals while building bridges with all partner teams including subject matter experts and leaders globally in the business, technology, and operations. Additionally, the Data Governance Lead will be focused on managing data governance initiatives, intake and facilitation of data testing and regulatory requests. The Data Governance Lead will work with Line of Business partners, including Compliance, Audit, and Risk to understand needs and produce data solutions, often times in partnership with Technology. The DSG team is strategically placed in the line of business to enable direct alignment with key business leaders to drive maximum impact. Members of the DSG team will be encouraged and expected to learn more than the core role requires, fundamental understanding of the business of payments will play a key role in what we aim to achieve together. The team's mandate places a dual focus on: 1.Data strategy including building and executing data strategy that enables the business, and 2.Data governance/management including driving adoption of enterprise data management policies and standards across GTS including for fit-for-purpose for Regulatory Reporting and other critical data uses; facilitating and providing governance and oversight of GTS data incidents; active engagement and support of enterprise data testing effort; active engagement of enterprise data initiatives and support of internal/external regulatory and audit exams and issues; and much more. This role will require a unique blend of payments expertise, an in-depth understanding & knowledge of data, and heavy program management experience to drive all governance initiatives forward. The Data Governance Lead will report to the Data Strategy Management Executive (DSME) as a part DSG team. Required Skills: "Must" have these skills to be minimally qualified •3+ years of experience in a Data Governance or Data Controls and Data Management or Payments role with a Data focus •Drive adoption of and adherence to internal data management policies and standards (i.e.: Enterprise Data Management and Global Records Management) •Expertise with Excel and PowerPoint to be able to analyze open issues and communicate with / align together varying teams •Heavy experience and responsibility with building and executing process and procedures as well as program management of process and procedure execution •Able to facilitate and provide governance and oversight on GPS data incidents including driving internal assessments, prioritization, and funding impacts. •Hands-on, applied experience with Enterprise Data Management Policy/Standards, data governance concepts and frameworks including industry best practices. •Knowledge of data management disciplines, including data strategy, data governance, data architecture, data security, etc. •Support and manage data controls environment and drive calibration of data controls in Single Process Inventory •Creation and execution of GPS data strategy and roadmap along with managing ADS adoption strategy Desired skills: •Strong relationship management skills to navigate the complexities in a large, distributed organization. •Understanding of applicable internal policy and standard requirements, including deep understanding of EDSGO-owned policy & standard requirements. •Ability to apply the core concepts of data risk management, including identification, assessment, and remediation of risk while driving health reporting of risks. •Hands-on or have closely worked with complex data landscapes. •Experience with managing data in high scale and high complexity application ecosystems (ie hundreds of applications) •Experience in solving data infrastructure challenges with large Legacy data application. •Deep understanding of project management framework and fundamentals; PMI certified. •Excellent verbal and written communication skills and ability to simplify and summarize complex data priorities / technical concepts •Highly detail oriented •Ability to work in fast-paced, work-intensive organization and be able to adapt to changing priorities while delivering with high accuracy Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay and benefits information Pay range$105,000.00 - $135,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.