Senior Data Engineer

540

WorldwideFully remoteFull TimeInformation Technology
No salary statedPosted 4w ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 28 days ago

About the role

Responsibilities

  • Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment
  • Lead the integration and transformation of complex data from diverse DoW and federal health systems
  • Design scalable approaches for data ingestion, integration, and exchange, including API-based integrations
  • Establish and promote reusable data engineering patterns, standards, and best practices
  • Provide technical guidance on data architecture, pipeline design, data modeling, and engineering practices
  • Monitor, troubleshoot, and optimize production workflows and data pipelines
  • Define and implement data validation, quality, and governance practices
  • Collaborate with engineers, architects, analysts, and customer stakeholders to translate complex data needs into technical solutions
  • Provide technical guidance and mentorship to other engineers

Requirements

  • 10+ years of data engineering or software engineering experience
  • Advanced proficiency with Python and SQL
  • Strong experience with Apache Spark and distributed data processing
  • Experience working with Databricks or similar modern data platforms
  • Experience designing and maintaining ETL/ELT processes for large-scale datasets
  • Experience integrating data across disparate systems via API-based integrations
  • Strong understanding of data modeling, architecture, quality, and governance principles
  • Experience with Git-based development workflows and terminal/command-line environments
  • U.S. Citizenship required with an active DoD Secret clearance or higher

Preferred Qualifications

  • AWS cloud experience
  • Experience with Palantir Foundry or GitLab
  • Experience working with Advana or similar DoD data environments
  • Experience working with federal health or regulated sensitive data
  • Experience using AI/ML to accelerate development tasks

Benefits

  • Flexible PTO plus all Federal holidays off
  • Health, dental, and vision insurance plans
  • 401k with employer match
  • Professional development opportunities including training and certifications
  • Company social events and access to sports tickets

What we look for

  • 10+ years of data engineering experience
  • Proficiency in Python and SQL
  • Experience with Apache Spark
  • Experience with Databricks
  • Active DoD Secret clearance or higher
  • U.S. Citizenship required
PythonSQLApache SparkDatabricksETL
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