Sr Data Engineer (Public-Trust)

  • Ashburn, VA
  • Posted 3 days ago | Updated moments ago

Overview

On Site
BASED ON EXPERIENCE
Full Time
Contract - W2
Contract - Independent
Contract - 6+ mo(s)

Skills

DATA ENGINEER
DATA PIPELINES
ETL
WORKFLOWS
HADOOP
KAFKA
DYNAMODB
DATA LAKE
BASH
PYTHON
JAVA DEVELOPMENT
SQL
AWS
S3
EMR
REDSHIFT
DATABRICKS
DELTA TABLES
APACHE KAFKA
PYSPARK
DATA WAREHOUSING
STAR SCHEMAS
DIMENSION MODELING
FACT MODELING

Job Details

Job Title: Sr Data Engineer (Public-Trust)
Location: Ashburn, VA (Onsite)
Duration: 12 Months+
Exp. Level: 8-12 years

Job Summary

We're hiring a Sr Data Engineer to join a long-term federal program supporting high-impact, mission-driven data initiatives. This is a hands-on, engineering-heavy role that requires deep technical expertise and a strong commitment to on-site work in Ashburn, VA.

Security Clearance: Public Trust Clearance is must.

What You'll Do:

  • Build and maintain high-volume data pipelines and ETL workflows
  • Write and optimize complex SQL queries for large-scale data sets
  • Design robust data models using star schemas, fact and dimension tables
  • Work with Apache Spark and the Hadoop ecosystem to process large data sets
  • Develop real-time streaming pipelines using Kafka
  • Use AWS tools such as S3, EMR, Redshift, and DynamoDB
  • Automate tasks with bash scripting
  • Use Python for ad hoc data engineering support
  • Collaborate with cross-functional teams to deliver scalable, secure solutions
  • (Bonus) Leverage Databricks and Delta Tables for advanced analytics

Required Skills (No Exceptions):

  • 7+ years of professional experience in data engineering
  • Strong Java development experience
  • Advanced SQL expertise with performance tuning skills
  • Bash scripting proficiency
  • Extensive AWS experience ( S3, EMR, Redshift, DynamoDB)
  • Hands-on with Apache Spark and Kafka
  • Strong understanding of data warehousing ( star schemas, fact/dimension modeling)
  • Proven success building and supporting production-grade pipelines
  • Experience with Python
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Nice to Have:

  • Experience with Databricks and Delta Tables
  • Background working on federal or public-sector programs
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