Data Pipeline Engineer: ETL, AWS & Big Data

Leidos LLC; Reston (VA); On-site; USD 131,000 - 237,000; Full time

Job summary

Leidos LLC is seeking a Software Developer with strong problem solving and analytical skills, focusing on data accuracy and reliability in scalable data pipelines. You will work in an agile team environment crafting, testing, and maintaining ETL/ELT processes and integrations across diverse data sources.

The role demands expertise in TypeScript, Node.js, Python, SQL, and experience with big data platforms and cloud/on-prem environments. A TS/SCI with Poly clearance is required for U.S.

Qualifications

• Active TS/SCI with Poly clearance.
• Bachelor's and 12+ years of related work experience OR Masters and 10+ years OR 16+ years of relevant experience in lieu of degree.
• Strong expertise in ETL tools, frameworks, and best practices.
• Proficiency in TypeScript, Node.js, and Python for backend and data pipeline development.
• Experience with API integrations, batch jobs, and automated workflows.
• Strong knowledge of SQL and relational databases.
• Familiarity with data modeling, schema design, and performance optimization.
• Experience with cloud-based or on-prem data environments.

Responsibilities

• Design, develop, and optimize ETL pipelines and data workflows.
• Integrate data from multiple internal and external systems.
• Ensure data quality, reliability, and consistency across pipelines.
• Troubleshoot and resolve performance and data integrity issues.
• Collaborate with engineering, analytics, and business teams to support data needs.
• Document pipeline architecture, processes, and operational procedures.

Skills

TypeScript

Node.js

Python

SQL

Education

Bachelor's degree

Master's degree

Tools

Elasticsearch

Apache NiFi

NoSQL databases

Job description

Leidos LLC is seeking a Software Developer with strong problem solving and analytical skills, focusing on data accuracy and reliability in scalable data pipelines. You will work in an agile team environment crafting, testing, and maintaining ETL/ELT processes and integrations across diverse data sources.

The role demands expertise in TypeScript, Node.js, Python, SQL, and experience with big data platforms and cloud/on-prem environments. A TS/SCI with Poly clearance is required for U.S.