TS/SCI Data Engineer | AWS, PySpark & ML Ops

TalentOps; Chantilly (VA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

401(k) with 100% match on first 6%

Tuition reimbursement

Parking or transit reimbursement

Job summary

TalentOps is seeking a Data Engineer in Chantilly, VA to join a growing team handling complex data for national security mission-critical systems. The role focuses on structuring, processing, and integrating large data volumes into a custom enterprise system.

The ideal candidate will have strong Python, SQL, AWS, and data-pipeline development experience, plus familiarity with PySpark, Elastic/OpenSearch, graph databases, and ML workflows. Collaboration with scientists and engineers is essential.

Qualifications

• Active TS/SCI with Full-Scope Polygraph.
• 3-5+ years of professional experience in data engineering or a related technical role.
• Strong experience with Python and SQL for data processing and pipeline development.
• Experience working with AWS cloud services, particularly AWS S3.
• Experience working in Linux environments.
• Experience using Git for version control and collaborative development.
• Strong understanding of ETL/ELT concepts and data pipeline architecture.
• Ability to work effectively with Data Scientists, Analysts, Engineers, and other technical stakeholders.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Strong attention to detail with an emphasis on data quality and reliability.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for batch and real-time data processing using Python and SQL.
• Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, Microsoft Office files, and open-source data.
• Develop web scraping and data ingestion workflows to collect and transform open-source information into structured datasets.
• Build scalable data architectures supporting analytics and machine learning workloads.
• Collect, clean, validate, and transform large volumes of structured and unstructured data.
• Design and optimize data storage within AWS S3, including raw, intermediate, and final datasets.
• Optimize data processing and queries for performance and cost efficiency.
• Implement data quality checks, version tracking, and processes to ensure data reliability.
• Support data governance efforts, including documentation, cataloging, lineage, and security.
• Ensure data handling and workflows comply with applicable security standards.

Skills

Python

SQL

Data pipelines

AWS

Git

Linux

Tools

Docker

Kubernetes

REST APIs

Job description

TalentOps is seeking a Data Engineer in Chantilly, VA to join a growing team handling complex data for national security mission-critical systems. The role focuses on structuring, processing, and integrating large data volumes into a custom enterprise system.

The ideal candidate will have strong Python, SQL, AWS, and data-pipeline development experience, plus familiarity with PySpark, Elastic/OpenSearch, graph databases, and ML workflows. Collaboration with scientists and engineers is essential.