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  • Emplois similaires à : Data Engineer / ETL Engineer - AGS SS#
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ETL Data EngineerEliassen Group • Vienna, Virginia, United States
Postuler Maintenant
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ETL Data Engineer

Eliassen Group
  • US
    Vienna, Virginia, United States
  • US
    Vienna, Virginia, United States
Postuler Maintenant

À propos

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA
Our client seeks an ETL Data Engineer to build and maintain large-scale data pipelines and to design agentic AI systems that support regulatory analytics. The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents with secure, auditable outputs. The engineer will collaborate across teams, uphold secure development practices, and contribute to CI/CD and infrastructure-as-code while monitoring data quality and production performance.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $70.00 to $88.00/hr. w2
Responsibilities: Build and maintain ETL/ELT pipelines using Apache Spark, Hive, and Trino across S3-based data lakes. Develop and optimize SQL for large-scale surveillance datasets using window functions, joins, and complex aggregations. Engineer big data systems on EMR-on-EC2 and EMR-on-EKS and deliver solutions on analytical platforms such as SageMaker, Domino, or Dataiku. Participate in data quality monitoring, anomaly detection, and production incident investigation. Develop AI agent systems using AWS Bedrock and agent frameworks such as Strands Agents SDK or LangChain/LangGraph. Design agent harnesses that combine LLM reasoning with deterministic execution including skill or RAG-based SQL generation and structured output validation. Implement agent memory, context management, and tool integration including MCP servers, API connectors, and data catalog lookups. Build evaluation frameworks for agent accuracy covering paraphrase robustness, routing precision, and structural consistency. Stay informed on advances in LLM frameworks and emerging AI capabilities. Write clean, well-tested code and contribute to CI/CD pipelines and infrastructure-as-code on AWS. Ensure secure handling of sensitive regulatory data with auditable execution traces. Adhere to secure development practices and technology policies. Partner across teams, communicate at the appropriate technical level, and maintain documentation on Confluence or Wiki. Learn from senior team members and contribute to process improvement.
Experience Requirements: Experience building data pipelines with Apache Spark (PySpark preferred) and SQL. Experience with SQL engines such as Hive or Trino and cloud data platforms including AWS S3, EMR, and Lambda. Understanding of data skew, large-volume processing, and troubleshooting job failures due to resources, data quality, and scalability. Hands-on debugging and mitigation experience. Practical experience building LLM-powered agent systems that use tools and produce structured outputs. Experience with agent frameworks such as LangChain, LangGraph, or AWS Strands. Knowledge of prompt engineering, RAG architectures, and context or memory management. Experience with foundation model APIs such as Anthropic Claude, Amazon Nova, or OpenAI. Understanding of agent memory tiers and strategies for persistence, pruning, and retrieval. Familiarity with harness patterns including deterministic guardrails, tool routing, and verification loops. Hands-on experience with AI development tools such as GitHub Copilot, Q Developer, ChatGPT, or Claude. Experience with spec-driven development for AI-assisted code generation and validation. Ability to leverage AI pair programming for suggestions, debugging, refactoring, and automated test generation. Experience with AWS services including S3, EMR, EMR on EKS, Lambda, Bedrock, and Step Functions. Hands-on experience using S3 with Spark and related file format or consistency considerations. Familiarity with AWS Bedrock guardrails, knowledge bases, and agent orchestration. Exposure to Google Cloud Vertex AI or equivalent managed AI platforms. Familiarity with AWS monitoring and logging tools such as CloudWatch and CloudTrail. Proficiency in Python with clean, modular, and performant code and understanding of functional concepts. Strong understanding of collections, concurrency, and memory management. Proficiency with SQL window functions, joins, aggregations, and complex query optimization including edge cases.
Education Requirements: Bachelor's degree in Computer Science, Data Science, Information Systems, or related discipline with at least two years of related experience, or equivalent training and work experience. Financial services experience preferred. Demonstrated expertise in object-oriented and database technologies resulting in enterprise-quality solutions. Knowledge of software engineering approaches including test automation, build automation, and configuration management. Strong written and verbal technical communication skills and effective cross-team collaboration. Ability to learn new skills rapidly and operate in a fast-paced environment.
Recruitment Transparency Notice
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
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  • Vienna, Virginia, United States

Compétences linguistiques

  • English
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