Data Automation Engineer
Washington, DC
Experience: 2
Education: BA
Category: Information Technology
Contractor Work Model: Hybrid
Brand: System One
Compensation Range: 49.00 - 60.00 Per Hour
Job ID: 345261
Date Posted: 01/20/2026
Shortcut: http://jobs.systemone.com/FLg8LK
Job Title: GenAI Data Automation Engineer
Location: Washington, DC (Hybrid – Remote with quarterly travel to DC & Gaithersburg, MD)
Compensation: $49.00 – $55.00/hourly
Clearance: Must be a U.S. Citizen or Green Card holder; able to obtain Public Trust
Join a Mission-Driven AI Innovation Team
Are you passionate about building intelligent, scalable solutions at the cutting edge of data automation and Generative AI?
We’re looking for a GenAI Data Automation Engineer to help design and deliver AI-powered data pipelines and automation tools in a modern AWS/Azure hybrid cloud environment. You’ll contribute to projects that impact real-world decision-making, reporting, and analytics for mission-critical platforms.
If you thrive on solving complex data challenges with smart automation—and want to work with emerging GenAI technologies—this role is for you.
What You’ll Be Doing:
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Architect and build automated data pipelines using AWS (S3, Glue, Lambda, EMR, DynamoDB, RDS/SQL Server).
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Design ETL/ELT workflows across hybrid cloud (AWS & Azure SQL), integrating data from sources like DynamoDB, AWS Connect, and CRM platforms.
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Develop real-time and batch ingestion pipelines using tools like Apache Spark, Kafka, and Flume into Solr/OpenSearch.
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Integrate Generative AI frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, LangChain, Hugging Face) to:
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Automate vector generation, embeddings, and unstructured data transformations.
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Enhance ETL with LLM-based logic for anomaly detection and NLP-powered transformations.
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Build natural language query interfaces and copilots for pipeline monitoring.
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Tune and optimize SQL Server performance: stored procedures, indexing, query plans.
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Apply DevOps best practices with GitHub, Jenkins, or Azure DevOps for pipelines and model deployments.
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Implement secure cloud solutions: IAM, RBAC, VPC isolation, KMS encryption, and firewall policies.
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Work in Agile sprints to deliver high-impact automation and GenAI features.
What You Bring to the Table:
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Bachelor’s degree in Computer Science or related field.
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2+ years of experience in data engineering and automation.
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Proven hands-on experience with Generative AI/LLM tools, ideally in production.
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Skills in Python, SQL, Spark, PowerShell, Bash, and cloud CLIs (AWS/Azure).
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Strong experience with AWS services: S3, RDS, Glue, Lambda, EMR, DynamoDB.
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Knowledge of tools like Kafka, Flume, Solr, and real-time data ingestion strategies.
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Comfortable integrating APIs and working with enterprise data platforms.
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Familiar with CI/CD and Agile tooling: GitHub, JIRA, Jenkins, Azure DevOps.
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Strong problem-solving skills in SQL tuning, pipeline performance, or AI model ops.
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Excellent communicator who thrives in collaborative, cross-functional teams.
Why You’ll Love This Role:
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Work at the intersection of AI and cloud data engineering.
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Help modernize data workflows for critical analytics and decision support.
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Be part of a forward-thinking team driving enterprise transformation.
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Enjoy flexibility with remote work, plus quarterly in-person collaboration.
Ready to make an impact?
Apply now and bring your skills to a team that’s building the future of AI-enabled data automation.
System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
#M-M2
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Ref: #850-Rockville (ALTA IT)
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