Data Engineer - Active TS/SCI with CI Polygraph (CIP)

TOMORROW HIRE • McLean, VA

3d • $135,000 - $165,000 • Onsite

About The Position

The Data Engineer supports mission-focused work by engineering, modernizing, and maintaining scalable data architectures, ETL/ELT pipelines, and data platform infrastructure for high-volume analytics, data science, and AI/ML workloads. The role requires an active TS/SCI with CI Polygraph (CIP) clearance and is performed on-site in McLean, Virginia.

Requirements

• At least 3 years of experience designing cloud-native data platforms in AWS.
• At least 2 years of experience designing scalable data lake, warehouse, and analytics solutions.
• At least 2 years of experience with cloud migration and modernization efforts.
• At least 2 years of experience with data pipelines, including data acquisition, data preparation, and database architecture.
• Experience supporting data science, AI/ML implementations, and BI dashboards.
• Experience with non-relational and semi-relational databases.
• Experience creating software for retrieving, parsing, and processing structured and unstructured data.
• Bachelor's degree in Computer Science.
• Experience with team lead functions and cross-functional team collaboration.
• Active TS/SCI with CI Polygraph (CIP) clearance.
• Must work on-site in McLean, Virginia.

Nice To Haves

• Experience with PySpark and Spark ecosystems, including Databricks and EMR.
• Experience evaluating data analytics and data science technologies and platforms.
• Experience with the A&A process or leading modifications.
• Experience with cloud architecture and selecting cloud analytics architectures.
• Experience with data marts, data warehouses, and complex operational data flows.
• Experience with Git/GitHub, AWS deployment, scripting in Python and SQL, and API development.
• AWS architecture certifications, such as Solutions Architect.

Responsibilities

• Architect end-to-end distributed data pipelines to ingest, clean, enrich, and model heterogeneous data from diverse sources.
• Design, optimize, and maintain relational, non-relational, and cloud data warehouses and lakes.
• Implement data quality validation, lineage tracking, cataloging, and security and governance controls.
• Collaborate with data scientists and software developers to productionize data models and streamline analytical queries.

Benefits

• 100% company-paid medical, dental, and vision insurance for employees and their dependents.
• Employer-paid life, short-term disability, and long-term disability insurance.
• Company contribution of 15% of base salary to a 401(k), fully vested from day one.
• 200 hours of accrued PTO annually, in addition to 11 federal holidays.
• Performance- and company-growth-based recruitment and business development bonus opportunities.

What This Job Offers

• Job Type: Full-time