TOMORROW HIRE
Data Engineer - Active TS/SCI with CI Polygraph (CIP)
- Compensation
- $135K–$165K
- Location
- McLean, Virginia, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3+ years of experience designing cloud-native data platforms in AWS
- 2+ years of experience designing scalable data lake, warehouse, and analytics solutions
- 2+ years of experience with cloud migration and modernization efforts
- 2+ years of experience with data pipelines (data acquisition, data prep, 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/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) required.
- Must work on-site in McLean, VA.
Nice to have
- Experience with PySpark and Spark ecosystems (Databricks, EMR)
- Experience evaluating data analytic/science technologies and platforms
- Experience going through 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 (Python, SQL), and API development
- AWS Architecture Certifications (e.g., Solutions Architect)
Full description
Data Engineer - Active TS/SCI with CIPLocation: McLean, VA
Clearance Required: TS/SCI with CI Polygraph (CIP)
Position Type: Full-Time, On-Site
Salary Range: $135,000 – $165,000
Description
We are seeking a Data Engineer to support mission-focused work. Engineers, modernizes, and maintains scalable data architectures, ETL/ELT pipelines, and data platform infrastructure to support high-volume analytics, data science, and AI/ML workloads. The position requires an active TS/SCI with CI Polygraph (CIP).
Primary 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/lakes.
- Implement data quality validation, lineage tracking, cataloging, and security/governance controls.
- Collaborate with data scientists and software developers to productionize data models and streamline analytical queries.
RequirementsMinimum Qualifications:
- 3+ years of experience designing cloud-native data platforms in AWS
- 2+ years of experience designing scalable data lake, warehouse, and analytics solutions
- 2+ years of experience with cloud migration and modernization efforts
- 2+ years of experience with data pipelines (data acquisition, data prep, 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/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) required.
- Must work on-site in McLean, VA.
Preferred Qualifications:
- Experience with PySpark and Spark ecosystems (Databricks, EMR)
- Experience evaluating data analytic/science technologies and platforms
- Experience going through 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 (Python, SQL), and API development
- AWS Architecture Certifications (e.g., Solutions Architect)
BenefitsSalary
Salary for this position is determined based on factors such as location, qualifications, experience, and contract-specific budget considerations.