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Data Engineer

Job in Lakewood, Jefferson County, Colorado, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Serve as a hands-on technical leader and delivery manager designing and implementing modern cloud-native data platforms for federal clients.
  • Lead architecture decisions, mentor engineers, and ensure high-quality, secure, and scalable delivery aligned to mission outcomes.
  • Architect and lead delivery of AWS-based lakehouse solutions using Databricks.
  • Design, build, and optimize ETL/ELT pipelines leveraging Databricks, Apache Spark, Delta Lake, Python, and SQL.
  • Define and enforce data architecture standards including ingestion patterns, performance tuning, and cost optimization.
  • Implement production-grade engineering practices, including data quality validation, reconciliation, and monitoring.
  • Apply data security and governance controls appropriate for federal and defense environments.
  • Partner with client stakeholders and product owners to translate mission and business requirements into technical designs.
  • Lead and mentor data engineers through code reviews, architecture reviews, and delivery execution.
  • Establish and mature CI/CD pipelines for Databricks workloads and supporting infrastructure.
Requirements
  • US Citizenship required.
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Bachelor’s degree obtained or equivalent experience.
  • Seven (7+) years of progressive experience in data engineering, data platform delivery, or data architecture roles, including leading technical teams or work streams.
  • Strong hands-on experience with AWS data platforms, including designing and operating production systems leveraging Databricks on AWS.
  • Deep expertise with Apache Spark, Databricks, Delta Lake, Python, and SQL, including performance tuning of distributed workloads.
  • Experience designing scalable, secure data architectures that support analytics, reporting, and advanced use cases (e.g., AI/ML enablement).
  • Familiarity with Agile delivery methods and proven ability to collaborate effectively with cross-functional and client teams.
  • Strong written and verbal communication skills, including the ability to explain complex technical topics to non-technical stakeholders.
Certifications & Qualifications
  • Bachelor's degree
  • SECRET Federal security clearance
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