Data Engineer

Insight Xcite • McLean, VA

2d • $140,000 - $220,000 • Onsite

About The Position

Insight Xcite is seeking Data Engineers to build and maintain reliable data pipelines supporting mission-focused programs. The work includes integrating diverse data sources, transforming structured and unstructured data, improving data quality, and making data accessible within appropriate security boundaries. Responsibilities, technologies, and experience levels vary by opening; the specific assignment, location, and requirements will be discussed during the interview process.

These opportunities require onsite work at the designated location; remote and hybrid arrangements are not offered. Applicants must currently possess an active TS/SCI with Full-Scope Polygraph. Insight Xcite does not sponsor or process security clearances. Annual base salary is $140,000–$220,000, depending on relevant experience, technical qualifications, role scope, and assignment requirements.

AI tools may be used to help format or draft application materials, but submitted information must accurately represent the applicant’s experience, qualifications, and work history. Applicants should be prepared to discuss and verify the information provided and must not include classified or sensitive customer information.

Requirements

• Hands-on experience building or maintaining data pipelines and performing data extraction, transformation, and loading.
• Experience using Python for data processing or automation.
• Experience integrating diverse data sources and applying data-quality checks.
• Ability to troubleshoot problems independently and communicate clearly with technical and nontechnical audiences.
• Must currently possess an active TS/SCI with Full-Scope Polygraph.
• Must work onsite at the designated location; remote and hybrid arrangements are not offered.

Nice To Haves

• Depending on the assignment, experience with AWS, HDFS, Cloudera, Spark, Presto, SQL, NoSQL, and enterprise data-flow integration.
• Depending on the assignment, experience with NiFi or Cribl, log-data analysis, data-feed troubleshooting, Splunk, and work across network and security environments.
• Depending on the assignment, experience with batch and real-time pipelines, APIs, microservices, Docker, CI/CD, infrastructure as code, and integration with application development.
• Depending on the assignment, experience with PySpark, data mapping, JSON/XML processing, SQL databases, data-quality analysis, and source-to-target documentation.
• Certain Expert-level assignments require at least 11 years of relevant experience.

Responsibilities

• Build, maintain, and troubleshoot data ingestion and ETL/ELT pipelines.
• Use Python and appropriate processing tools to transform and integrate data from multiple sources.
• Validate data accuracy, completeness, and consistency, and investigate failed or unreliable data feeds.
• Support data models, storage platforms, metadata, and documentation appropriate to the assignment.
• Work with engineering teams and stakeholders to clarify requirements and explain technical results.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed