Data and AI Engineer
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Job Description
Build and maintain scalable data pipelines and AI-ready workflows in Rosslyn, VA.
Responsibilities
- Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data
- Develop and optimize data models, integration patterns, and storage solutions for analytics, reporting, and operational use cases
- Partner with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls
- Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies
- Document technical designs, data lineage, and deployment processes; support testing, release, and production stabilization activities
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
- 3+ years experience designing, building, and maintaining data pipelines and ETL/ELT workflows
- 1+ year using Python and SQL to conduct analysis and build ETL pipelines for production
- 1+ year monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
- Ability to travel 10% on average based on work, clients, and industries/sectors served
- Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment
- Ability to work on-site in Washington, D.C. at least three days a week
- Must be legally authorized to work in the United States without employer sponsorship, now or in the future
Technologies
- Python
- SQL
- AWS
- Azure
- Databricks
- Tableau
- Power BI
The Team
- Team designs and delivers data engineering solutions to help organizations modernize data platforms and enable analytics, automation, and business insight
- Work spans the data lifecycle: ingestion, transformation, storage, quality, and delivery of data products
- Collaboration with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions
Preferred Qualifications
- Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
- Experience in cloud platform development and analytics (e.g., AWS, Azure, Databricks)
- Experience with Tableau, Power BI, or similar dashboarding platforms
Location: Rosslyn, VA 22209 (on-site)
Compensation: USD 84,400 - 140,600 per yearly
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