Security-Cleared Data Engineer (TS/SCI+Poly)

Cornerstone Defense LLC

Chantilly (VA)

On-site

USD 120,000 - 180,000

Full time

30 hours ago
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Benefits offered by this job

Medical plan
Dental plan
Vision plan
PTO
401(k)

Job summary

Cornerstone Defense LLC is seeking a Data Engineer in Chantilly, VA to build and optimize data pipelines, transform and ingest data, and support analytics across mission-focused datasets. The role emphasizes securing data provenance and collaborating with data stewards and engineering teams.

The ideal candidate has 10+ years in data lifecycle engineering, strong ETL experience, and proficiency with Python, SQL, Spark, ElasticSearch, and NiFi.

Qualifications

  • 10+ years of experience in data lifecycle engineering and data engineering.
  • Experience developing and maintaining ETL tools and services.
  • Experience with cloud and on-prem data storage and processing solutions.
  • Proficiency in Python, SQL, Spark and related data engineering tech.
  • Familiarity with ElasticSearch, NiFi, and open source data tooling.
  • Experience delivering data pipelines within an Agile lifecycle.

Responsibilities

  • Develop new ETL code and data extraction from various repositories.
  • Design and optimize data pipelines using Spark, Iceberg, Trino, OpenSearch, and NiFi.
  • Ensure data pedigree and provenance while protecting access to data.
  • Clean and preprocess data for advanced analytics.
  • Collaborate with data stewards and engineers to enable actionable insights.

Skills

Data lifecycle engineering
ETL tools & services
Cloud & on-prem data storage
Python/SQL/Spark
ElasticSearch & NiFi
Agile data processing

Tools

Spark
Apache Iceberg
Trino
OpenSearch
EMR
NiFi
Kubernetes

Job description

Cornerstone Defense LLC is seeking a Data Engineer in Chantilly, VA to build and optimize data pipelines, transform and ingest data, and support analytics across mission-focused datasets. The role emphasizes securing data provenance and collaborating with data stewards and engineering teams.

The ideal candidate has 10+ years in data lifecycle engineering, strong ETL experience, and proficiency with Python, SQL, Spark, ElasticSearch, and NiFi.

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