Data scientist jobs in Lynchburg, VA

Job Responsibilities: Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability.

Dexian is seeking a Data Scientist with GenAI and Python for an opportunity with a client located in Charlotte, NC. Responsibilities: Design, develop, and deploy GenAI models, including LLMs, GANs, and transformers, for tasks such as content generation, data augmentation, and creative applications Analyze complex data sets to identify patterns, extract meaningful features, and prepare data for model training, with a focus on data quality for GenAI Develop and refine prompts for LLMs, and optimize GenAI models for performance, efficiency, and specific use cases Deploy GenAI models into production environments, monitor their performance, and implement strategies for continuous improvement and model governance Work closely with cross-functional teams (e.g., engineering, product) to understand business needs, translate them into GenAI solutions, and effectively communicate technical concepts to diverse stakeholders Stay updated on the latest advancements in GenAI and data science, and explore new techniques and applications to drive innovation within the organization Utilize Python and its extensive libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, LangChain) for data manipulation, model development, and solution implementation Requirements: Proven hands-on experience implementing Gen AI project using open source LLMs (Llama, GPT OSS, Gemma, Mistral) and proprietary API's (OpenAI, Anthropic) Strong background in Retrieval Augmented Generation implementations In depth understanding of embedding models and their applications Hands on experience in Natural Language Processing (NLP) solutions on text data Strong Python development skills. Should be comfortable with Pandas and NumPy for data analysis and feature engineering Experience building and integrating APIs (REST, FastAPI, Flask) for serving models Fine tuning and optimizing open source LLM/SLM is a big plus Knowledge of Agentic AI frameworks and Orchestration Experience in ML and Deep Learning is an advantage Familiarity with cloud platforms (AWS/Azure/GCP) Experience working with Agile Methodology Strong problem solving, analytical and interpersonal skills Ability to work effectively in a team environment Strong written and oral communication skills Should have the ability to clearly express ideas Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

We are seeking a junior-level Data Science professional with a strong academic foundation and early hands-on experience to join our team as a Exploitation Specialist. The ideal candidate will hold a bachelor's degree in a data science-related field and bring internship or project experience that demonstrates curiosity, initiative, and a willingness to learn from senior team members. This role is a great opportunity for someone eager to grow their technical skill set while supporting a high-impact mission. Required Qualifications Active TS/SCI clearance with the willingness to obtain a CI polygraph Ability to work onsite in Northern Virginia, 40 hours per week (telework options are extremely limited) Proficiency with Python and SQL Preferred Qualifications Familiarity with GEOINT collection and related NGA/NRO systems Experience with additional programming languages such as R, JavaScript, HTML, and CSS Understanding of object-oriented programming Experience using visualization tools such as Grafana, Tableau, or Kibana Ability to quickly learn new technologies, adapt to evolving mission requirements, and support the development/testing of new analytic methodologies

Senior / Principal Data Scientist Employment Type: 12 Month Contract-to-hire About Us Our client is an engineering consultancy delivering advanced testing, analytics, and consulting services to organizations worldwide. Our mission is to leverage cutting-edge technology and data-driven insights to improve safety and performance in sports and related industries. Role Overview We are seeking a Senior / Principal Data Scientist to lead modeling and analytics initiatives across diverse domains, including: Computer Vision: Detect and interpret events from game video. Sensor Data Analysis: Event detection from athlete-worn devices. Generative AI: Develop solutions to deliver actionable insights to end users. You will design and implement machine learning models, build simulation-based tools, and create dashboards that provide injury risk assessments and mitigation strategies. This role involves research, algorithm development, and presenting findings to executive stakeholders. Key Responsibilities Develop and implement advanced machine learning models and algorithms. Build analytical tools and dashboards using frameworks like Shiny, Dash, or Streamlit. Collaborate with cross-functional teams to deliver actionable insights. Present research and analytics to leadership and clients. Qualifications Education: MS or PhD in Computer Science, Statistics, or related STEM field. Strong understanding of machine learning theory and structure. Proficiency in Python or R and experience with common ML libraries. Experience with SQL/NoSQL databases and distributed processing. 5+ years of post-graduate experience in engineering, consulting, or leadership roles. Preferred: Background in biomechanics or sports analytics. Publications or conference contributions in relevant fields. Experience with professional sports organizations. Consulting experience with executive-level presentations. Ideal Candidate You are passionate about applying data science to enhance athlete safety and performance. You thrive in collaborative environments and enjoy building innovative solutions that make a real-world impact.

Purpose: As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution. Key Result Areas and Activities: Design, build, and deploy AI/ML solutions using modern cloud and data platforms. Lead data science projects across industries, ensuring alignment with business goals. Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases. Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark. Communicate findings effectively through data visualizations and stakeholder presentations. Drive adoption of MLOps practices for scalable and reliable model deployment. Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing. Roles & Responsibilities Essential Skills 5+ years of experience in applied AI and machine/deep learning. Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib. Proficiency in Python and SQL for model development and data manipulation. Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI. Familiarity with cloud platforms: AWS, Azure, and GCP. Solid foundation in advanced statistical methods and probabilistic analysis. Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management. Experience with visualization tools like Tableau, Power BI, or similar. Familiarity with ML workflow orchestration and MLOps practices. Desirable Skills Experience with LLMs (Large Language Models) and agentic AI workflows. Familiarity with modern data platforms like Snowflake. Exposure to real-time data processing in cloud-native environments. Contributions to open-source AI projects or publications in data science communities. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Role: Senior Data Scientist - Generative AI & Solution Architecture Location: Charlotte, NC Work Mode - Hybrid (2-3 days from client office) Experience: 10+ Years Job Description We are looking for a Senior Data Scientist to lead the design and implementation of a Generative AI-driven Contract Risk Reporting System. This role involves building advanced RAG pipelines, a reporting engine, and an interactive chatbot. The ideal candidate combines deep technical expertise, AI/ML fundamentals, and the ability to interpret legal contract language into actionable solution requirements, while engaging directly with clients. Key Responsibilities: Architect and deliver AI solutions for contract risk analysis and reporting. Design and implement LLM-based RAG systems, reporting dashboards, and conversational interfaces. Translate legal domain requirements into technical specifications. Collaborate with clients for requirement gathering, solution validation, and presentations. Ensure MLOps best practices, model monitoring, and Model Risk Management (MRM) compliance. Required Skills: Expertise in Generative AI, LLMs, RAG architectures, and NLP techniques. Strong foundation in machine learning algorithms, model evaluation, and feature engineering. Hands-on experience with MLOps pipelines, model governance, and risk controls. Proficiency in Python, LangChain, Vector Databases, and Cloud platforms (AWS/Azure/GCP). Ability to interpret legal contract language and map it to technical solutions. Excellent communication, client engagement, and solution design skills. Preferred: Experience in legal tech, contract analytics, or risk management solutions. Familiarity with prompt engineering, domain-specific fine-tuning, and LLM optimization. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

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.

C# Senior Developer RESOURCE TYPE: W2 Only Charlotte, NC - Hybrid Mid (5-7 Years) Role Description A leading Japanese bank is in the process of driving a Digital Transformation across its Americas Division as it continues to modernize technology, strengthen its data-driven approach, and support future growth. As part of this initiative, the firm is seeking an experienced Data Engineer to support the design and development of a strategic enterprise data platform supporting Capital Markets and affiliated securities businesses. This role will contribute to the development of a scalable, cloud-based data platform leveraging Azure technologies, supporting multiple business units across North America and global teams.Role Objectives Serve as a member of the Data Strategy team, supporting broker-dealer and swap-dealer entities across the Americas Division. Participate in the active development of the enterprise data platform, beginning with the establishment of reference data systems for securities and pricing data, and expanding into additional data domains. Collaborate closely with internal technology teams while adhering to established development standards and best practices. Support the implementation and expansion of the strategic data platform on the bank's Azure Cloud environment. Contribute technical expertise and solution design aligned with the overall Data Strategy roadmap. Qualifications and Skills Proven experience as a Data Engineer, with strong hands-on experience in Azure cloud environments. Experience implementing solutions using: Azure Cloud Services Azure Data Factory Azure Data Lake Gen2 Azure Databases Azure Data Fabric API Gateway management Azure Functions Strong experience with Azure Databricks. Advanced SQL skills across relational and NoSQL databases. Experience developing APIs using Python (FastAPI or similar frameworks). Familiarity with DevOps and CI/CD pipelines (Git, Jenkins, etc.). Strong understanding of ETL / ELT processes. Experience within financial services, including exposure to financial instruments, asset classes, and market data, is a strong plus.

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.

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 At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our Challenge: Looking for skilled senior data engineer with comprehensive experience in designing, developing, and maintaining scalable data solutions within the financial and regulatory domains. Proven expertise in leading end-to-end data architectures, integrating diverse data sources, and ensuring data quality and accuracy. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $135k - $155k/year & benefits (see below). Work location: New York City, NY (Hybrid, 3 days in a week) The Role Responsibilities: Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark. Strong understanding of relational databases, ETL processes, and data modeling. Expertise in system design, architecture, and implementing robust data pipelines. Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M). Skilled in Agile methodologies, SDLC processes, and CI/CD pipelines. Effective communicator with the ability to collaborate with business analysts, users, and global teams. Requirements: Overall 10+ years of IT experience is required Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions. Develop and optimize data models and schemas for efficient data integration and analysis. Lead application development involving Python, Pyspark, SQL, Snowflake and Databricks platforms. Implement data validation procedures to maintain high data quality standards. Strong experience in SQL (Writing complex queries, Join, Tables etc.) Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams. Provide ongoing support, troubleshooting, and maintenance in production environments. Contribute to architecture and design discussions to ensure scalable, maintainable data solutions. Experience with financial systems (capital markets, credit risk, and regulatory compliance applications). We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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.

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 ******************

Build and maintain data pipelines and workflows in Palantir Foundry. Design, train, and deploy ML models for classification, optimization, and forecasting use cases. Apply feature engineering, data cleaning, and modeling techniques using Python, Spark, and ML libraries. Create dashboards and data applications using Slate or Streamlit to enable operational decision-making. Implement generative AI use cases using large language models (GPT-4, Claude, etc)

*** W2 Contract Only - No C2C - No 3rd Parties *** The Ash Group is hiring a new Programmer Analyst Principal (Data Engineer) for our client (a global leader providing advanced systems and support in defense, aerospace, and security) based in Falls Church, VA. In this role, you'll be designing, implementing, and optimizing large-scale data systems and ETL pipelines, with a strong focus on using Amazon Redshift and AWS services to ensure data quality and integrity for complex defense programs. Compensation, Benefits, and Role Info Competitive pay rate of $65 per hour. Medical, dental, vision, direct primary care benefits, and, after six months of employment, a 4% matched 401(k) plan with immediate 100% vesting. Type: 12-month contract with potential extension or conversion. Location: On-site in Falls Church, VA. What You'll Be Doing Design and implement large-scale ETL data pipelines using AWS Glue and Python/PySpark to ingest, transform, and load data from various sources. Build and maintain robust data warehouses, focusing on Amazon Redshift, including data modeling and governance. Write and optimize complex, highly-performant SQL queries across large datasets (Redshift, Oracle, SQL Server). Collaborate with cross-functional teams (data scientists, analysts) to understand requirements and deliver end-to-end data solutions. Troubleshoot, optimize performance, and resolve data-related issues like pipeline failures and data quality bottlenecks. What We're Looking For 8+ years of hands-on experience in data engineering, focusing on designing and implementing large-scale data systems. 5+ years of experience in building production-level ETL pipelines using AWS Glue and Python/PySpark. Deep proficiency in SQL, including query optimization, indexing, and performance tuning across data warehouses like Amazon Redshift. Strong understanding of database design principles, data modeling (star/snowflake schemas), and data governance. Experience with data processing/orchestration frameworks such as Apache Airflow, Apache Kafka, or Fivetran. If you're a seasoned data engineering professional passionate about building scalable data solutions and driving innovation in cloud-based environments, we want to hear from you. This is an exciting opportunity to work on cutting-edge technologies, collaborate with cross-functional teams, and make a meaningful impact on data-driven decision-making. Apply now to be part of a forward-thinking organization where your expertise will shape the future of our data infrastructure. #DataEngineer #DataEngineering #AWSEngineer #Redshift #ETL #PySpark #DataPipeline #Westminster #ColoradoJobs #Contract

The candidate must have 5+ years of hands on experience working with PySpark/Python, microservices architecture, AWS EKS, SQL, Postgres, DB2, Snowflake, Behave OR Cucumber frameworks, Pytest (unit testing), automation testing and regression testing. Experience with tools such as Jenkins, SonarQube AND/OR Fortify are preferred for this role. Experience in Angular and DevOps are nice to haves for this role. Must Have Qualifications: PySpark/Python based microservices, AWS EKS, Postgres SQL Database, Behave/Cucumber for automation, Pytest, Snowflake, Jenkins, SonarQube and Fortify. Responsibilities: Development of microservices based on Python, PySpark, AWS EKS, AWS Postgres for a data-oriented modernization project. New System: Python and PySpark, AWS Postgres DB, Behave/Cucumber for automation, and Pytest Perform System, functional and data analysis on the current system and create technical/functional requirement documents. Current System: Informatica, SAS, AutoSys, DB2 Write automated tests using Behave/cucumber, based on the new micro-services-based architecture Promote top code quality and solve issues related to performance tuning and scalability. Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify. Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings. Preferred strong skills and experience in reporting applications development and data analysis Knowledge in Agile methodologies and technical documentation.

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

What You've Accomplished Completion of a Bachelor's Degree in Computer Science or technical/business discipline, or comparable experience in lieu of degree At least 6 years of directly related experience An advanced degree (MS or PhD) may substitute for >7 years of related work experience. Familiar with a variety of the Information Technology concepts, practices, and procedures Basic written and verbal communication skills Proficiency with PC based applications such as MS Office Ability to interact effectively with all levels of staff and management Ability to change priorities quickly, confront issues directly and work well as part of a team. You are ready to join Framatome and help deliver clean, safe energy and advance nuclear technology. Who You Are Your actions, behaviors, and decisions are made in a manner consistent with our Core Values: *************************************************** You may have also acquired the following skills: Proven experience with DataOps and Continuous Integration/Continuous Delivery/Deployment. Expertise in Cloud Data and Orchestration Tools: Modern data tools in a cloud environment such as Azure Data Factory and Databricks Strong Data Engineering & Scripting Skills: Advanced knowledge of SQL - tools and workflows like ETL Excellent System Design & Automation: Architect, optimize, and troubleshoot complex data pipelines using tools like Bicep to manage and automate cloud resources. Familiar with emerging data technologies Your Opportunity This full-time role is about making an impact on people's lives and the future of clean energy. You will leverage your skills and experience to be part of an innovative team and make a difference for our customers. As a DataOps Engineer in Lynchburg, VA, you will be part of the proven team in the Corporate Business Unit. This role will work alongside other system architects, AI developers, project leads, application owners, and database administrators to develop various solutions. The candidate is expected to have experience with AZURE development objects and interpreting business requirements, in order to create robust and time saving solutions for our customers. We are seeking individuals committed to delivering and improving quality services to our internal customers. This position will require 3 days in the office, 2 remote days, and occasional travel. Together we will enable clean, safe, and economical low-carbon energy to meet the global ambition for a better tomorrow. Who We Are Framatome is an international leader in nuclear energy recognized for its innovative solutions and value-added technologies for the global nuclear fleet. More than 2,000 dedicated U.S. Framatome employees work every day to supply ever cleaner, safer, and more economical low-carbon energy for our communities and world. As well as supporting new nuclear builds, advancing new technology and advancing nuclear energy in the U.S. and abroad. Like you, we want a brighter future. Discover Lynchburg, Virginia: ************************************* Any employment offer is contingent upon the successful completion of a background investigation and drug screen (as applicable). Your Total Rewards Package The range of base salary for the position is between $97,000 - $131,000 and may also include annual incentives, performance bonuses and benefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. Framatome offers a broad employee benefits portfolio as a key component of your total rewards. This includes: Multiple medical plans; dental and vision plans; Life and Accidental Death and Dismemberment; long- and short-term disability; optional plans including dependent life, accident, critical illness and hospital indemnity insurance; retirement savings plans (401k) with employer match; paid time off including up to 3 weeks of vacation, 8 days of sick leave, and 13 paid holidays; education reimbursement; adoption assistance; employee assistance programs; opportunities for professional development. Positions within Framatome may require access to proprietary information that is subject to U.S. export control regulations. As such, the Company must ensure that any hires for these job openings fully comply with all US regulations. Foreign national applicants that are citizens or residents of countries not included on the Department of Energy's Generally Authorized Destinations list may not be eligible for immediate need positions. See list here: ************************************************************************************************** Framatome is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Actuarial Analyst III completes very diverse and complicated projects and performs very complex actuarial studies. How You Will Make an Impact: Primary duties may include, but are not limited to: * Analyzes and implements risk contracts including conducting experience analyses, pricing, filing and settlement work; and prepares management reports supporting new capitation initiatives. * Assists in training of actuarial trainees, analysts and specialists. * Coordinates/directs special actuarial projects. Minimum Requirements: Requires a BA/BS and to have passed a minimum of four Society of Actuaries (SOA) actuarial exams and a minimum of 3 years related experience; or any combination of education and experience, which would provide an equivalent background. For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $86,640 to $164,160. Locations: California; Colorado, Minnesota, New York In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws. * The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Job Level: Non-Management Exempt Workshift: Job Family: ACT > Actuarial Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.