Requirements engineer jobs in North Carolina

About the Role We are seeking a Principal AI Engineer to spearhead the development of predictive analytics and machine learning capabilities from the ground up. You'll join a small, collaborative team of BI and Data Engineering professionals and play a pivotal role in transforming how the organization leverages data. Today, we focus on historical reporting-your mission is to enable forward-looking insights through advanced analytics and AI-driven solutions. This is a hands-on leadership position where you'll partner closely with business stakeholders to understand their needs, identify high-impact opportunities, and deliver solutions that tell a compelling story through data. If you thrive in greenfield projects and want to make a measurable impact, this is the role for you. Key Responsibilities Design, develop, and deploy predictive models, machine learning algorithms, and AI-driven solutions to support strategic decision-making. Build and optimize end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. Collaborate with business leaders to translate requirements into actionable analytics initiatives and measurable outcomes. Conduct exploratory data analysis to uncover patterns, trends, and opportunities for predictive insights. Implement model evaluation and monitoring frameworks to ensure accuracy, scalability, and performance over time. Integrate predictive insights into BI dashboards and reporting tools for business consumption. Stay current with emerging technologies in AI/ML, deep learning, and cloud-based analytics platforms. Serve as a technical mentor and thought leader for AI and advanced analytics within the organization. Partner with DevOps teams to streamline deployment and operationalization of ML models in production environments. Required Qualifications Expertise in data science, machine learning, or AI engineering roles. Proven expertise in predictive analytics, statistical modeling, and algorithm development. Strong programming skills in Python and R, with experience using ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with cloud platforms (Azure preferred; AWS/GCP acceptable) for ML model deployment and scaling. Solid understanding of data engineering concepts, including ETL processes and data pipeline design. Familiarity with BI tools (Power BI, Tableau) and ability to embed predictive insights into dashboards. Excellent communication and stakeholder engagement skills-able to explain complex technical concepts in business terms. Bachelor's degree in Computer Science, Data Science, or related field (or equivalent experience). Preferred Skills Experience with SAP analytics or SAP environments. Advanced degree (MS or PhD) in a quantitative discipline is a plus. Knowledge of MLOps practices for continuous integration and deployment of ML models. Why This Role? Opportunity to build predictive analytics capabilities from the ground up. Highly visible position with strong executive support. Competitive compensation up to $190K and hybrid

We are seeking an experienced and highly skilled Platform Lead to join our technology team. The ideal candidate will have a strong background in cloud infrastructure, automation, and platform engineering, with deep expertise in AWS services (EC2, RDS, S3, Lambda, Load Balancer, EKS, Encryption, Secrets Manager), Terraform, Git, and Python. As Platform Lead, you will architect, implement, and manage scalable, secure, and reliable cloud platforms to support our business objectives. Key Responsibilities: Lead the design, implementation, and management of cloud infrastructure using AWS services such as EC2, RDS, S3, Lambda, Load Balancer, EKS, Encryption, and Secrets Manager. Develop and maintain infrastructure as code solutions using Terraform. Build automation scripts and tools in Python to streamline platform operations and deployments. Oversee platform reliability, scalability, and security, ensuring best practices are followed. Collaborate with software engineering, DevOps, and security teams to deliver robust cloud solutions. Manage CI/CD pipelines and version control using Git. Monitor, troubleshoot, and resolve platform issues, ensuring high availability and performance. Document architecture, processes, and procedures for platform operations. Mentor and guide team members, fostering a culture of technical excellence and continuous improvement. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of professional experience in cloud platform engineering and development. Extensive hands-on experience with AWS services: EC2, RDS, S3, Lambda, Load Balancer, EKS, Encryption, and Secrets Manager. Proficiency in infrastructure as code using Terraform. Strong programming skills in Python. Experience with version control systems, especially Git. Solid understanding of cloud security, encryption, and secrets management. Proven track record in designing and operating scalable, reliable, and secure cloud platforms. Excellent problem-solving skills, attention to detail, and ability to communicate effectively with stakeholders. Experience with GenAI or AI/ML platforms is a plus.

Full-time Charlotte, NC Qualifications You have operational experience with one or more of the following cicd tools - Jenkins, Octopus Deploy. 3+ years of experience is managing, maintaining and scaling a devops environment using Jenkins for large number of deployments. Experience with configuration management tools (Ansible, Puppet/Chef) Experience of Automating Infrastructure deployment Demonstrate hands on working knowledge with AWS and its services, including but not limited to EC2, S3, IAM, RDS, Python and Aurora Experience in Software-Defined-Networks, Software-Defined-Data-Centers, Virtual Private Clouds and other core network technology Experienced with DevOps and GitOps Experience with multiple cloud platforms (GCP or Azure) a plus Proactive, enthusiastic and ambitious Good team worker with excellent verbal and written communication skills

We are seeking a highly skilled and motivated Technical Team Lead with extensive experience in Azure Databricks to join our dynamic team. The ideal candidate will possess a strong technical background, exceptional leadership abilities, and a passion for driving innovative solutions. As a Technical Team Lead, you will be responsible for guiding a team of developers and engineers in the design, development, and implementation of data driven solutions that leverage Azure Databricks. Regards Mamatha k, Sr. Resource Specialist, *************** Email: ******************* / ***************

Senior Software Engineer in Test - Mobile Testing Skills: iOS and Android developer Swift Xcode XCUITest Kotlin Espresso API testing - GraphQL and/or Rest APIs **Native environment - Appium will not work** Nice to have: Jetpack Compose Java and/or JavaScript Join group as a Software Engineer in Test to lead automation for our Mobile Health App on both iOS and Android. We're seeking a candidate who excels in designing, developing, and maintaining automated test suites to ensure product quality and readiness for release. The Expertise and Skills You Bring Bachelor's degree (or higher) in Computer Science or a related field. Over 5 years of professional testing/development experience, including 3+ years in native iOS automation using Swift, supported by backend test automation. Expertise with Swift, Xcode, XCUITest, Kotlin, Espresso, Jetpack Compose in a large-scale enterprise environment, ideally as part of an SDET team. Experience with the full lifecycle and release of at least one app on App Store and Google Play, leveraging automated tools such as Jenkins. Strong understanding of testing principles and methodologies for comprehensive coverage. Proficiency in iOS test automation frameworks (XCUITest) and Android test automation using Kotlin, Espresso, and Jetpack Compose. Experience in API testing and automation, preferably with GraphQL and REST APIs. Solid understanding of Agile methodologies. Ability to solve and resolve technical challenges across the technology stack using both automated and manual testing. Familiarity with code quality/coverage tools (e.g., Sonar). Hands-on experience in a DevOps environment with CI/CD tools, Git/Bitbucket Server (Stash), and Jenkins. Strong communication and collaboration skills to work effectively across teams. Experience mentoring and upskilling junior technical staff. Knowledge of Agile Scrum methodology is a plus. Additional Skills Adaptability in a dynamic, fast-paced environment. Interest in learning ground breaking technologies. Ability to translate business requirements into detailed test plans and cases. Commitment to best practices in mobile app testing. Collaboration within an SDET team to create and maintain automation artifacts. Proactive learning attitude and drive to master new technologies. The Value You Deliver Designing and evolving a comprehensive suite of automation tests for Digital Healthcare products. Collaborating closely with product owners, developers, and business stakeholders. Facilitating rapid prototyping to validate ideas quickly. Developing source code, customizing components, and rigorously testing developed components. Ensuring all designs meet performance, security, usability, reliability, and scalability standards.

Regulatory Engineer (HVAC / Refrigeration) - Mon-Fri, 8-5 shift $100,000 - $120,000 + (10-20% Bonus) + Relocation Assistance + Training and Mentorship + Medical + Dental + Vision + Holidays + PTO + 401(k) + Fantastic Company Benefits Winston-Salem, NC (Commutable from Greensboro, High Point, Kernersville, Lexington, Clemmons) Do you have familiarity with regulatory compliance in the HVAC or Refrigeration industry, and are looking for a role with exceptional benefits within a highly stable role? Are you looking for a position where you will be mentored by a highly experienced group of engineers and experts? On offer is a position within a well-established organization, representing great stability, all whilst receiving guidance from a 25 year, industry veteran, eager to train you into a technical expert. This company is a respected leader in their industry, known for its technical excellence and partnerships with major global clients. The role would suit someone with regulatory compliance experience with the DOE and CEC, looking for stability, who's ready to move into a long-term, stable role with no weekend work. The Role: Desk based position, interacting with regulatory bodies. Close mentoring with an expert in regulation and compliance. Mon-Fri, 8-5 schedule with no extra hours. The Candidate: Familiarity with regulatory compliance (DOE/CEC) in the HVAC or Refrigeration industry. Looking for stability and fantastic benefits. To apply for this role or to be considered for further roles, please click "Apply Now”, or contact Ed Chandler at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates. KEYWORDS: Regulatory Engineer, HVAC Engineer, Refrigeration Engineer, Compliance Engineer, DOE Compliance, CEC Compliance, Energy Efficiency Standards, HVAC Regulatory Compliance, Refrigeration Systems, Product Certification Engineer, Energy Regulations Specialist, HVAC Testing and Certification, Regulatory Documentation, Compliance Reporting, Engineering Standards, Technical Compliance, Energy Efficiency Testing, Product Approvals, Federal Regulations, EPA Compliance, ASHRAE Standards, Technical Mentorship, Engineering Analysis, Mentorship and Training, Career Development, Stable Company, Long-term Career Opportunity, Excellent Benefits Package, Bonus Program, Relocation Assistance, Work-life Balance, No Weekend Work, Monday to Friday Schedule, 401(k), Health Benefits, PTO, Holidays, Winston-Salem NC, Greensboro NC, High Point NC, Kernersville NC, Lexington NC, Clemmons NC, North Carolina Engineering Jobs, HVAC Jobs in Triad Area, HVAC Regulatory Engineer, Refrigeration Compliance Engineer, DOE / CEC Regulatory Specialist, Engineering Jobs with Relocation Assistance, HVAC Engineer Jobs with Training, Regulatory Compliance Careers in North Carolina, Energy Efficiency Engineering Roles, Mon-Fri Engineering Jobs

Job Title: Data Engineer / SQL Server Developer (7+ Years) Client: Wells Fargo Rate: $60/hr Interview Process: Code Test + In-Person Interview Job Description Wells Fargo is seeking a Senior Data Engineer / SQL Server Developer (7+ years) who can work across both database development and QA automation functions. The ideal candidate will have strong SQL Server expertise along with hands-on experience in test automation tools. Key Responsibilities Design, develop, and optimize SQL Server database structures, queries, stored procedures, triggers, and ETL workflows. Perform advanced performance tuning, query optimization, and troubleshooting of complex SQL issues. Develop and maintain data pipelines ensuring data reliability, integrity, and high performance. Build and execute automated test scripts using Selenium, BlazeMeter, or similar frameworks. Perform both functional and performance testing across applications and data processes. Support deployments in containerized ecosystems, ideally within OpenShift. Collaborate with architecture, QA, DevOps, and application teams to ensure seamless delivery. Required Skills Primary: 7+ years of hands-on SQL Server development (T-SQL, stored procedures, performance tuning, ETL). Secondary: Experience working with OpenShift or other container platforms. Testing / QA Automation: Strong experience with test automation tools like Selenium, BlazeMeter, JMeter, or equivalent. Ability to design automated functional and performance test suites. Ideal Candidate Profile Senior-level developer capable of taking ownership of both development and test automation deliverables. Strong analytical and debugging skills across data engineering and testing disciplines. Experience working in large-scale enterprise environments.

Summary/Objective Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you'll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We're looking for high performers to join our team who excel in their expertise and who can transform plans into action. You'll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded. About the Role The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus' standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform. Responsibilities Develop data conversion procedures using SQL, Java and Linux scripting Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications Develop new specifications to satisfy new customers and products Serve as the primary point of contact/driver for all technical related conversion activities Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates Maintain and update technical conversion documentation to share with internal and external clients and partners Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills Adapt and creatively solve encountered problems under high stress and tight deadlines Learn database structure, business logic and combine all knowledge to improve processes Be flexible Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication Management of multiple projects and conversion implementations Ability to proactively troubleshoot and solve problems with limited supervision Qualifications B.S. Degree in Computer Science or comparable experience Strong knowledge of Linux and the command line interface Exceptional SQL skills Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.) Familiarity with various online banking applications and understanding of third-party integrations is a plus Effective written and verbal communication skills Problem Solver - recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels Strong attention to detail Proficiency with raw data, analytics, or data reporting tools Preferred Skills Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries Experience with front end web interfaces (HTML5, Javascript, CSS3) Cloud technologies (AWS, GCP, Azure) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. Physical Demands This role requires sitting or standing at a computer workstation for extended periods of time. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. Travel No travel is required for this position. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Equal Opportunity Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

We are seeking a highly skilled and customer-focused IT Support Specialist to join our team. In this role, you will provide hands-on technical support, contribute to key technology initiatives, and ensure an exceptional support experience for users across the organization. The ideal candidate thrives in fast-paced, high-profile environments and brings both strong technical acumen and outstanding communication skills. Key Responsibilities Team Collaboration Work closely with IT peers and business stakeholders to provide a cohesive and seamless support experience. Share knowledge and contribute to internal documentation, playbooks, and training materials. Participate in team meetings and actively support knowledge-sharing culture. Technical Expertise Hands-on experience supporting Windows 11. Skilled in Microsoft 365 (M365) services and applications support. Proficient in Active Directory (AD) administration. Experience with System Center Configuration Manager (SCCM). Familiarity with Azure Active Directory (Azure AD). Experience managing mobile devices through Microsoft Intune. Working knowledge of iOS device management and support. Understanding of ITIL practices and frameworks. Non-Technical Expertise Proven track record supporting users in fast-paced, high-profile environments. Excellent communication skills, with the ability to interact effectively and professionally at all levels, including with high-visibility individuals. Strong analytical and problem-solving skills with a focus on root cause analysis and continuous improvement.

Our client is looking to hire a Data Engineer for a one year contract. This role will be onsite (Hybrid) Monday and Thursday in Charlotte, NC. Must Haves: 2+ years working in Agile/SDLC delivery Hands-on Python in production or pipeline work Hands-on TensorFlow or PyTorch Practical NLP experience LLM / GenAI applied experience (At least one real build using LLMs: RAG, embeddings + vector DB, prompt workflows, evaluation, fine-tuning/LoRA, or deployment) Data engineering fundamentals (Clear ETL/ELT or data pipeline experience (lake/warehouse/API/streaming). SQL + BI/reporting exposure (Can write real SQL and support dashboards/reports) 1 year of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) Bachelor's Degree

We are looking for a skilled and experienced AWS Data Engineer with 10+ Years of experience to join our team. This role requires hands-on expertise in AWS serverless technologies, Big Data platforms, and automation tools. The ideal candidate will be responsible for designing scalable data pipelines, managing cloud infrastructure, and enabling secure, reliable data operations across marketing and analytics platforms. Key Responsibilities: Design, build, and deploy automated CI/CD pipelines for data and application workflows. Analyze and enhance existing data pipelines for performance and scalability. Develop semantic data models to support activation and analytical use cases. Document data structures and metadata using Collibra or similar tools. Ensure high data quality, availability, and integrity across platforms. Apply SRE and DevSecOps principles to improve system reliability and security. Manage security operations within AWS cloud environments. Configure and automate applications on AWS instances. Oversee all aspects of infrastructure management, including provisioning and monitoring. Schedule and automate jobs using tools like Step Functions, Lambda, Glue, etc. Required Skills & Experience: Hands-on experience with AWS serverless technologies: Lambda, Glue, Step Functions, S3, RDS, DynamoDB, Athena, CloudFormation, CloudWatch Logs. Proficiency in Confluent Kafka, Splunk, and Ansible. Strong command of SQL and scripting languages: Python, R, Spark. Familiarity with data formats: JSON, XML, Parquet, Avro. Experience in Big Data engineering and cloud-native data platforms. Functional knowledge of marketing platforms such as Adobe, Salesforce Marketing Cloud, and Unica/Interact (nice to have). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. AWS, Big Data, or DevOps certifications are a plus. Experience working in hybrid cloud environments and agile teams. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact. Click the following link for more information on your rights as an Applicant ************************************************************************** Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Hello, This is Shivam from Centraprise Global working as Talent Acquisition Lead. I came across your profile on our resume database and wanted to reach out regarding a Job opportunity. If interested please reply with your updated resume, contact details, and best time to discuss regarding the opportunity. Job Title: Hadoop // Big Data Engineer Location: Charlotte, NC // New York City, NY (onsite) Duration: Full Time Job Description Must Have Technical/Functional Skills Primary Skil: Hadoop ecosystem (HDFS, Hive, Spark),PySpark,Python,Apache Kafka Experience: Minimum 9 years Roles & Responsibilities Architectural Leadership: Define end-to-end architecture for data platforms, streaming systems, and web applications. Ensure alignment with enterprise standards, security, and compliance requirements. Evaluate emerging technologies and recommend adoption strategies. Data Engineering : Design and implement data ingestion, transformation, and processing pipelines using Hadoop, PySpark, and related tools. Optimize ETL workflows for large-scale datasets and real-time streaming. Integrate Apache Kafka for event-driven architectures and messaging. Application Development : Build and maintain backend services using Python and microservices architecture. Develop responsive, dynamic front-end applications using Angular. Implement RESTful APIs and ensure seamless integration between components. Collaboration & Leadership: Work closely with product owners, business analysts, and DevOps teams. Mentor junior developers and data engineers. Participate in agile ceremonies, code reviews, and design discussions. Required Skills & Qualifications: Technical Expertise: Strong experience with Hadoop ecosystem (HDFS, Hive, Spark). Proficiency in PySpark for distributed data processing. Advanced programming skills in Python. Hands-on experience with Apache Kafka for real-time streaming. Frontend development using Angular (TypeScript, HTML, CSS). Architectural Skills: Expertise in designing scalable, secure, and high-performance systems. Familiarity with microservices, API design, and cloud-native architectures. Additional Skills: Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes). Exposure to cloud platforms (AWS, Azure, GCP). Thanks & Regards, Shivam Gupta | Talent Acquisition Lead Desk: ************ Ext- 732

W2 ONLY - NO CORP TO CORP - CONTRACT TO HIRE - NO VISA SPONSOR/TRANSFER - NO 3RD PARTY AGENCY CANDIDATES Data Engineer Serve as subject matter expert and/or technical lead for large-scale data products. Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data. Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability. Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences. Build and enhance data pipelines using cloud-based architectures. Design simplified data models for complex business problems. Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments. Operate independently while fostering a collaborative, transformation-focused mindset. Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles. Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value. Qualifications 5+ years of data engineering experience. 2+ years developing and operating production workloads in cloud infrastructure. Bachelor's degree in Computer Science, Data Science, Information Technology, or related field. Hands-on experience with Snowflake (including SnowSQL, Snowpipe). Expert-level skills in AWS services, Snowflake, Python, Spark (certifications are a plus). Proficiency in ETL tools such as Talend and Informatica. Strong knowledge of Data Warehousing (modeling, mapping, batch and real-time pipelines). Experience with DataOps tools (GitHub, Jenkins, UDeploy). Familiarity with P&C Commercial Lines business. Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, Shell scripting. Experience using Agile tools like Rally. Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders.

We are looking for a Lead Data Engineer with strong communication skills and hands-on experience across Snowflake, AWS, Python, PySpark, MongoDB, and IICS. This role requires a technical leader who can guide a small engineering team while also building and optimizing scalable data pipelines in a cloud environment. Long-term Contract Location: Charlotte, NC 4 Days Onsite ***Interviews are actively happening*** ***If you are interested in this role, please share your Updated resume to proceed further*** Responsibilities Lead and mentor a team of data engineers in day-to-day project delivery Design, build, and optimize ETL/ELT pipelines using AWS Glue, Python, PySpark, and Snowflake Work with business and technical stakeholders, deliver updates, and ensure smooth communication Develop and maintain data workflows using IICS (Informatica Intelligent Cloud Services) Manage data ingestion from multiple sources, including MongoDB and AWS services Perform data modeling, SQL scripting, and performance tuning in Snowflake Support deployment, monitoring, and troubleshooting of data pipelines Ensure best practices for code quality, documentation, and cloud data architecture

Title: AWS Data Engineer Exprience: 10 years Must Have Skills: • Strong experience in AWS services, primarily serverless, databases, storage services, container services, schedulers, and batch services. • Experience in Snowflake and Data Build Tool. • Expertise in DBT, NodeJS and Python. • Expertise in Informatica, PowerBI , Database, Cognos. Nice to Have Skills: Detailed Job Description: • Strong experience in AWS services, primarily serverless, databases, storage services, container services, schedulers, and batch services. • Experience in Snowflake and Data Build Tool.Expertise in DBT, NodeJS and Python. • Expertise in Informatica, PowerBI , Database, Cognos. • Proven experience in leading teams across locations. • Knowledge of DevOps processes, Infrastructure as Code and their purpose. • Good understanding of data warehouses, their purpose, and implementation • Good communication skills. Kindly share the resume in ******************

Immediate need for a talented Principal Big Data Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Durham, NC(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-94747 Pay Range: $63 - $73 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: We are seeking a highly motivated Data Engineer to join the Data Aggregation team. Data Aggregation is a growing area and we are looking for a skilled engineer to drive design and development of industry leading external facing API solutions. The comprehensive API / data solutions will seek to bring together retail, clearing and custody capabilities to help external fintech partners with the financial goal planning, investment advice and financial projections capabilities to better serve our clients and more efficiently partner with them to accomplish their financial objectives. Key Requirements and Technology Experience: Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 10 years of working experience Big Data Processing: Apache Spark (EMR), Scala, distributed computing, performance optimization Cloud & Infrastructure: AWS (S3, EMR, EC2, Lambda, Step Functions), multi-region DR strategy Databases: Cassandra/YugaByte (NoSQL), Oracle, PostgreSQL, Snowflake Data Pipeline: ETL design, API integration, batch processing DevOps & CI/CD: Jenkins, Docker, Kubernetes, Terraform, Git Monitoring & Observability: Splunk, Datadog APM, Grafana, CloudWatch Orchestration: Control-M job scheduling, workflow automation Financial domain experience Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

We are seeking an experienced Senior Big Data & Cloud Engineer to design, build, and deliver advanced API and data solutions that support financial goal planning, investment insights, and projection tools. This role is ideal for a seasoned engineer with 10+ years of hands-on experience in big data processing, distributed systems, cloud-native development, and end-to-end data pipeline engineering. You will work across retail, clearing, and custody platforms, leveraging modern cloud and big data technologies to solve complex engineering challenges. The role involves driving technology strategy, optimizing large-scale data systems, and collaborating across multiple engineering teams. Key Responsibilities Design and develop large-scale data movement services using Apache Spark (EMR) or Spring Batch. Build and maintain ETL workflows, distributed pipelines, and automated batch processes. Develop high-quality applications using Java, Scala, REST, and SOAP integrations. Implement cloud-native solutions leveraging AWS S3, EMR, EC2, Lambda, Step Functions, and related services. Work with modern storage formats and NoSQL databases to support high-volume workloads. Contribute to architectural discussions and code reviews across engineering teams. Drive innovation by identifying and implementing modern data engineering techniques. Maintain strong development practices across the full SDLC. Design and support multi-region disaster recovery (DR) strategies. Monitor, troubleshoot, and optimize distributed systems using advanced observability tools. Required Skills : 10+ years of experience in software/data engineering with strong big data expertise. Proven ability to design and optimize distributed systems handling large datasets. Strong communicator who collaborates effectively across teams. Ability to drive architectural improvements and influence engineering practices. Customer-focused mindset with commitment to delivering high-quality solutions. Adaptable, innovative, and passionate about modern data engineering trends.

Experience in developing and proficient in SQL and knowledge on Snowflake cloud computing environments Knowledge on Data warehousing concepts and metadata management Experience with data modeling, Data lakes multi-dimensional models and data dictionaries Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning. Experience in query performance tuning and cost optimization in a cloud data platform Knowledge in Snowflake warehousing, architecture, processing and administration , DBT , Pipeline Hands-on experience on PLSQL Snowflake •Excellent personal communication, leadership, and organizational skills. •Should be well versed with various Design patterns Knowledge of SQL database is a plus Hands-on Snowflake development experience is must Work with various cross-functional groups, tech leads from other tracks Need to work with team closely and guide them technically/functionally Must be a team player with good attitude

We are seeking a ServiceNow Digital Product Release Engineer to support the configuration, implementation, and optimization of the ServiceNow platform with a specialized focus on Digital Product Release (DPR). Required Skills (4-6 years) Service Now Solid foundation in JavaScript syntax, data types, control structures, functions, and object-oriented programming concepts. Understand the different scripting contexts (client-side, server-side, business rules, etc.) and how to write scripts for each Understanding of web development principles Strong problem-solving skills are crucial for debugging scripts and finding solutions to technical challenges Configuration/Development experience with Portfolio Management (Portfolio Management = Strategic Portfolio management (Project Portfolio Management, Digital Portfolio Management) and Enterprise Architecture (Application Portfolio Management, Technology Portfolio Management) Agile Experience Extensive JavaScript language experience Flex Skills/Nice to Have: Cloud-based computing system. Key Responsibilities: Confer with clients to understand information-processing or computation needs. Interview or survey workers, observe job performance, or perform tasks to determine how information is processed. Coordinate and link computer systems within the organization to improve compatibility and information sharing. Consult with management to ensure alignment on system principles. Expand or modify systems to support new purposes or improve workflow. Must have experience configuring and implementing the ServiceNow platform specifically for Digital Product Release. Why Work for ConsultUSA: ConsultUSA offers competitive salaries, major medical (PPO or HDHP w/ HSA), dental, and vision insurance plans, and 401k plan with immediate eligibility for both salary and hourly employees ConsultUSA hosts several outings and events, holiday and summer parties, and volunteer opportunities throughout the year for employees We will work with you to obtain training for in-demand technologies and prepare you for industry-recognized certification exams ConsultUSA offers Business Analysis and Project Management training through our Project Management Institute (PMI) award-winning sister company, PMCentersUSA How to Apply: To submit your application, please click the “Apply Now” button located at the top and bottom of the page. ConsultUSA is committed to providing equal employment opportunities (EEO) to all qualified employees and applicants for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, genetic information, marital status, pregnancy, ancestry, or status as a covered veteran as well as any other prohibited criteria under any applicable federal, state, and local laws applicable to ConsultUSA. For a complete listing of all ConsultUSA jobs please visit ******************