Data Engineer

Tampa, FL

Posted: 05/19/2023 Division: Government/DOD Job Number: JN -052023-16915

Job Description

Data Engineer

Salary: Up to $112k/yr.

Employment Type: Permanent

Location: Orlando, FL OR Tampa, FL

Industry: Department of Defense

Clearance: Ability to Obtain

Purpose: The Data Engineer III will support software developers, data analysts, and data scientists deliver robust data solutions from the ground up in support of applications and advanced analytics pipelines.

Required Qualifications:

  • BS degree in Engineering discipline, Computer Science, Mathematics, or related field required.
  • Experience manipulating, processing, and extracting value from large disconnected datasets.
  • Experience integrating data from diverse sources into a structured data repository ensuring the quality and consistency of data is maintained at all times.
  • Advanced working knowledge of SQL language and experience with RDBMS, NoSQL DBs, Data Warehouses, big data repositories, and unstructured datasets.
  • Strong analytic skills related to working with unstructured datasets.
  • Advanced working knowledge of Python with the ability to write high-performance code.
  • Minimum 5 years of experience implementing high-performant data ingestion pipelines using one or more ETL/ELT tools (Talend, Informatica, etc) or workflow tools (Argo, AirFLow, etc).
  • You will be expected to support a diverse set of projects and teams. The skillsets required for this role will vary based on what systems you are working on. To be considered, you should have strong skills in 1 or more of the following categories
    • Programming language (Rust, C#, C++, C, Julia)
    • Database systems (PostgreSQL, MongoDB, Oracle, MSSql, etc)
    • DevOps (Docker, Kubernetes, Jenkins, etc)
    • Cloud Systems (Azure, GCP, AWS)
  • Ability to effectively prepare and present information and respond to questions from peers, and customers
  • Must be able to perform effectively as part of a project


  • Identify, design, and implement internal process improvements for the automation of data flow, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Perform engineering tasks including writing and testing software, creating software tools, updating drawings and documentation
  • Develop documentation to support the objectives of operationally-focused team members
  • Effectively Interface with customer personnel at varying organizational levels
  • Effectively report status on tasks and assignments and to support the business development team in the production of winning proposals



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