Job Requirements
Tampa, FL
Secret Polygraph not specified
Mid Level Career (5+ yrs experience)
Salary not specified
Join Premium to unlock estimated salaries 
Job Description
We are looking for a Data Engineer 2-3 (Associate/Mid-Level) to:
• Design, build, and evolve scalable data pipelines that power analytics, reporting, and machine learning initiatives.
• Develop and manage ETL/ELT workflows to efficiently ingest, transform, and deliver high-quality data across platforms.
• Ensure data accuracy, consistency, and integrity through strong governance practices and validation frameworks.
• Architect and maintain robust data models, warehouses, and lakehouse environments to support growing data needs.
• Continuously optimize database and query performance to enable fast, reliable access to critical datasets.
• Implement partitioning, indexing, and other performance strategies to scale data systems effectively.
• Leverage cloud platforms and modern data technologies to build resilient, high-performing data infrastructure.
• Partner closely with data scientists, analysts, and engineers to translate business needs into reliable data solutions.
• Champion data security, privacy, and regulatory compliance across the data ecosystem.
• Establish and maintain data governance standards to ensure data quality, accessibility, and responsible use.
• Proactively monitor, troubleshoot, and strengthen the reliability of production data pipelines.
• Drive automation and workflow improvements to increase efficiency and reduce manual effort.
• Stay current with emerging data engineering tools, technologies, and industry best practices.
This position description outlines the core duties for this role, but it is not all-inclusive. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives.
Requirements
• 3+ years of experience, including designing, developing, and automating ETL/ELT pipelines.
• Active DoD Secret clearance (or higher).
• Prior experience with BI tools, cloud platforms, and big data technologies, with proficiency in SQL, Python, and/or Scala.
• Familiarity with data modeling, warehousing, and lakehouse architectures, with knowledge of data optimization, governance, security, and compliance best practices.
• Excellent problem-solving, communication, and collaboration skills, with the ability to work cross-functionally.
• Must be comfortable working onsite full-time and traveling (up to 15% of the time), primarily to Scott AFB in O'Fallon, IL, and/or Norfolk Naval Base in Norfolk, VA.
Preferred
• Bachelor's degree in a related field from an accredited college or university.
• Prior experience with the USTRANSCOM systems, Qlik, Advana tool suite, Maven Smart System, and/or Databricks.
• Design, build, and evolve scalable data pipelines that power analytics, reporting, and machine learning initiatives.
• Develop and manage ETL/ELT workflows to efficiently ingest, transform, and deliver high-quality data across platforms.
• Ensure data accuracy, consistency, and integrity through strong governance practices and validation frameworks.
• Architect and maintain robust data models, warehouses, and lakehouse environments to support growing data needs.
• Continuously optimize database and query performance to enable fast, reliable access to critical datasets.
• Implement partitioning, indexing, and other performance strategies to scale data systems effectively.
• Leverage cloud platforms and modern data technologies to build resilient, high-performing data infrastructure.
• Partner closely with data scientists, analysts, and engineers to translate business needs into reliable data solutions.
• Champion data security, privacy, and regulatory compliance across the data ecosystem.
• Establish and maintain data governance standards to ensure data quality, accessibility, and responsible use.
• Proactively monitor, troubleshoot, and strengthen the reliability of production data pipelines.
• Drive automation and workflow improvements to increase efficiency and reduce manual effort.
• Stay current with emerging data engineering tools, technologies, and industry best practices.
This position description outlines the core duties for this role, but it is not all-inclusive. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives.
Requirements
• 3+ years of experience, including designing, developing, and automating ETL/ELT pipelines.
• Active DoD Secret clearance (or higher).
• Prior experience with BI tools, cloud platforms, and big data technologies, with proficiency in SQL, Python, and/or Scala.
• Familiarity with data modeling, warehousing, and lakehouse architectures, with knowledge of data optimization, governance, security, and compliance best practices.
• Excellent problem-solving, communication, and collaboration skills, with the ability to work cross-functionally.
• Must be comfortable working onsite full-time and traveling (up to 15% of the time), primarily to Scott AFB in O'Fallon, IL, and/or Norfolk Naval Base in Norfolk, VA.
Preferred
• Bachelor's degree in a related field from an accredited college or university.
• Prior experience with the USTRANSCOM systems, Qlik, Advana tool suite, Maven Smart System, and/or Databricks.
group id: 91086984