Senior Data Engineer - ETL, Data Quality, Onsite VA

Insight Xcite; Chantilly (VA); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Health insurance

401(k) employer contribution

Flexible PTO

Flex bonus

Education reimbursement

Life insurance

Parental leave

Referral rewards

Compensation reviews

Pet insurance

Job summary

Insight Xcite is seeking Data Engineers for current and upcoming mission-focused opportunities in Chantilly, VA. Build reliable paths from raw data to the people and systems that need it, integrating diverse sources and improving data quality within security boundaries.

The work spans ETL/ELT pipelines, data modeling, and collaboration with engineering teams and stakeholders. Candidates typically have 6+ years of experience and strong Python or SQL skills, with a proven ability to document

Qualifications

• At least 6 years of relevant professional experience.

Responsibilities

• Build, maintain, and troubleshoot data ingestion and ETL/ELT pipelines.
• Transform and integrate data from multiple sources using suitable programming, querying, and processing 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, maintainability, and performance through testing and automation.
• Work with engineering teams and stakeholders to clarify requirements and explain technical results.

Skills

Python

SQL

ETL/ELT

Data pipelines

Data quality

Documentation

Stakeholder collaboration

Tools

AWS

Spark

PySpark

HDFS

Cloudera

Presto

NoSQL

NiFi

Cribl

Splunk

Job description

Insight Xcite is seeking Data Engineers for current and upcoming mission-focused opportunities in Chantilly, VA. Build reliable paths from raw data to the people and systems that need it, integrating diverse sources and improving data quality within security boundaries.

The work spans ETL/ELT pipelines, data modeling, and collaboration with engineering teams and stakeholders. Candidates typically have 6+ years of experience and strong Python or SQL skills, with a proven ability to document