Data Engineer with Security Clearance

TEKsystems c/o Allegis GroupWashington Dc Brm, DC🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

This hybrid Data Engineer role offers a fantastic opportunity to leverage your 7+ years of experience in designing and deploying scalable data pipelines, building reusable connectors, and optimizing data models within a reputable organization. You'll thrive by developing robust ETL/ELT solutions, integrating RESTful APIs, and implementing data quality controls, all while enjoying the flexibility of a hybrid work environment. Apply now to advance your career in a dynamic technology space!

Quick Overview

Seniority

Mid Senior

Employment type

Temporary/Casual

Work mode

Hybrid

Location

Washington Dc Brm, DC, United States

Posted

1 week ago

SQLSQL ServerETLGitPostgreSQLPythonREST

Job Description

Key Responsibilities
Design, develop, test, and deploy scalable ETL/ELT pipelines for high-volume, multi-source data environments. Build reusable data connectors and integration services to ingest data from APIs, databases, files, and other enterprise data sources. Develop and integrate RESTful APIs and data services to support data ingestion, retrieval, transformation, and downstream applications. Design data transformation and normalization processes for structured and unstructured data.

Implement data quality controls, including validation, reconciliation, deduplication, error handling, and exception management. Develop automated processes for data lineage, metadata capture, logging, monitoring, and auditability. Design and optimize data models, schemas, and storage solutions using relational and other appropriate data technologies. Develop efficient SQL queries, stored procedures, transformations, and data-processing logic for large datasets. Build and maintain automated CI/CD pipelines for data engineering components and applications.

Required Qualifications
7+ years of experience in data engineering, data integration, or a related software engineering discipline. Demonstrated experience building and maintaining production-grade data pipelines in enterprise environments. Strong experience with ETL/ELT architecture, data transformation, orchestration, validation, reconciliation, lineage, logging, and monitoring. Advanced proficiency with SQL and relational databases. Strong programming experience in Python
Experience developing and integrating REST APIs and other data integration interfaces.

Experience working with relational databases and data-storage technologies, such as PostgreSQL or Microsoft SQL Server. Experience with Linux-based development or deployment environments. Experience with Git-based source control and CI/CD practices. Experience developing automated tests for data pipelines, APIs, or software components. Strong communication, documentation, problem-solving, and cross-functional collaboration skills.