Data Engineer - TS/SCI Required, Build Secure Pipelines

Cornerstone Defense

Chantilly (VA)

On-site

USD 120,000 - 190,000

Full time

38 hours ago
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Benefits offered by this job

Medical, Dental, Vision plans
Generous PTO policy
401(k) retirement plan
HSA and FSA options
Life and Disability Insurance
Tuition Reimbursement

Job summary

Cornerstone Defense is seeking a Data Engineer in Chantilly, VA to develop and optimize data pipelines, ingest and transform diverse data types, and collaborate with data scientists and partners to deliver actionable insights for mission objectives.

The role focuses on building ETL processes, ensuring data quality and provenance, and supporting both cloud and on-prem data platforms using Spark, OpenSearch, NiFi, and related tools. Security clearance is required.

Qualifications

  • Experience building and maintaining ETL pipelines across structured and unstructured data.
  • Strong knowledge of data modeling, governance, and provenance to protect data access.
  • Proficiency with Python, SQL and Spark in cloud/on-prem environments.
  • Familiarity with open source data tooling such as ElasticSearch and NiFi.

Responsibilities

  • Design and optimize data pipelines using Spark, OpenSearch, and NiFi.
  • Transform and ingest data from diverse sources for analytics and mission objectives.
  • Collaborate with data scientists and partners to define data formats and transforms.
  • Maintain data quality and provenance across enterprise data stores.
  • Develop documentation for ETL mappings, code usage, and access instructions.
  • Support data engineers and software teams in integrating new data processing platforms.

Skills

Data lifecycle engineering
ETL tools development
Cloud + on-prem data storage
Python
SQL
Spark
Data engineering programming
ElasticSearch
NiFi
Agile lifecycle

Tools

ElasticSearch
NiFi
Spark
EMR
Kubernetes

Job description

Cornerstone Defense is seeking a Data Engineer in Chantilly, VA to develop and optimize data pipelines, ingest and transform diverse data types, and collaborate with data scientists and partners to deliver actionable insights for mission objectives.

The role focuses on building ETL processes, ensuring data quality and provenance, and supporting both cloud and on-prem data platforms using Spark, OpenSearch, NiFi, and related tools. Security clearance is required.

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