Senior Data Engineer — ETL, Pipelines, & Data Quality

Insight Xcite; Virginia; On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Medical, dental and vision insurance (

401(k) with 7% employer contribution

Flexible PTO

Education reimbursement up to $5,250

Life and disability insurance

Parental leave

Referral rewards

Pet insurance starting 2027

Job summary

Insight Xcite is recruiting Data Engineers for mission-focused opportunities in Virginia. Build reliable paths from raw data to people and systems, integrating diverse sources and transforming data with Python, SQL, and modern data tooling.

Onsite work is required in Chantilly, McLean, or Herndon, with strict TS/SCI clearance. Candidates will review requirements with the matching team, work to improve data quality, and document data models and pipelines.

Qualifications

• 6+ years of relevant professional experience.
• Hands-on experience building or maintaining data pipelines and performing ETL/ELT.
• Experience with Python, SQL, or comparable tools for data processing and integration.

Responsibilities

• Build, maintain, and troubleshoot data ingestion and ETL/ELT pipelines.
• Transform and integrate data from multiple sources using suitable tools.
• Validate accuracy, completeness, and consistency; investigate broken feeds and unreliable results.
• Develop or support data models, storage, metadata, and source-to-target documentation.
• Improve pipeline reliability and performance through testing and automation.
• Collaborate with engineering teams and stakeholders to clarify requirements.

Skills

Data engineering

ETL/ELT pipelines

Python

SQL

Data modeling

Documentation

Communication

Tools

AWS

Spark

PySpark

HDFS

Cloudera

Presto

NoSQL

NiFi

Cribl

Splunk

CI/CD

Containers

Job description

Insight Xcite is recruiting Data Engineers for mission-focused opportunities in Virginia. Build reliable paths from raw data to people and systems, integrating diverse sources and transforming data with Python, SQL, and modern data tooling.

Onsite work is required in Chantilly, McLean, or Herndon, with strict TS/SCI clearance. Candidates will review requirements with the matching team, work to improve data quality, and document data models and pipelines.