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

TOMORROW HIRE • McLean, VA

2d • Onsite

About The Position

The Data Engineer engineers, modernizes, and maintains scalable data architectures, ETL/ELT pipelines, and data-platform infrastructure supporting high-volume analytics, data science, and AI/ML workloads. The role supports mission-focused work and requires an active TS/SCI with CI Polygraph (CIP). The position is full-time and on-site in McLean, Virginia.

The engineer designs distributed data pipelines and data storage solutions, implements data quality and governance controls, and collaborates with data scientists and software developers to productionize data models and improve analytical queries.

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 to retrieve, parse, and process 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 going through an 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, Python and SQL scripting, and API development.
• AWS architecture certifications, such as AWS 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 insurance and short-term and long-term disability insurance.
• Company 401(k) contribution of 15% of base salary, fully vested from day one.
• 200 hours of accrued paid time off annually.
• 11 federal holidays.
• Recruitment and business development bonus opportunities based on performance and company growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level