Data Engineer

Data Engineer position in Huntsville, AL focused on building data pipelines, integrating sources for dashboards, analytics, and compliance reporting, with emphasis on security and governance.

Responsibilities

• Coordinate with internal and external stakeholders to collect, normalize, and analyze data assets across multiple projects and platforms.
• Design, build, maintain, evaluate, and test data solutions that deliver measurable value.
• Define and implement plans, policies, and practices to control, protect, deliver, and enhance the integrity of data and information assets.
• Ingest, store, process, and analyze raw and complex data from diverse sources; select and design optimal data solutions and build processing pipelines using data warehousing concepts and modern database technologies.
• Investigate data quality issues, perform root-cause analysis, correct errors, and develop prototypes and process-improvement plans across programs, including proofs of concept for chosen solutions.
• Transform unstructured data into analysis-ready formats and conduct subsequent analyses.
• Integrate innovations and algorithms into the organization’s data systems in collaboration with the engineering team.
• Deliver complex data projects focused on collecting, parsing, managing, analyzing, and visualizing large data sets to generate insights across platforms.
• Establish and enforce data security protocols to protect all data used by the organization.
• Ensure day-to-day compliance with policies, processes, and procedures.
• Support data needs and assist in gathering data for various operational requirements.
• Perform data analysis, problem solving, investigation, and creative thinking with large data sets; maintain source code control.
• Create and maintain data ingestion and transformation pipelines within Vantage and Gabriel Nimbus.
• Other duties as assigned.

Requirements

• Bachelor’s degree in science, technology, engineering, mathematics, IT, or business-related programs.
• 4+ years of experience in building data pipelines, data transformation, and integrating sources for dashboards, AI/ML, analytics, and compliance reporting.
• Active Secret clearance with the ability to obtain TS with SCI eligibility.
• Successfully pass background and drug screening.

Knowledge, Skills and Abilities

• Proficiency in Python and SQL.
• Experience with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform, including migrating projects to the cloud.
• Experience working in Unix/Linux environments.
• Experience with NoSQL databases.
• Experience consuming data via APIs and transforming JSON data.
• Familiarity with cloud infrastructures and hybrid cloud environments.
• Strong Microsoft Office skills (Word, Excel, PowerPoint, Outlook).
• Understanding of cloud technologies (AWS, Azure, GCP, Oracle) and hybrid cloud environments.
• Knowledge of CI/CD tools and practices.
• Experience with relational databases and BI tools such as Power BI or Business Objects (BO).
• Experience extracting, transforming, and structuring data to support exploratory analytics and operational reporting.
• Ability to create data visualizations that enable quick interpretation and action.
• Solid data analysis, engineering, and data management capabilities.
• Excellent time management and organizational skills; able to work independently and in a team; able to meet minimum clearance requirements.
• Ability to travel up to 10% and to work nights, weekends, and holidays as required.

Technologies

• Python
• SQL
• AWS
• Microsoft Azure
• GCP
• Oracle
• NoSQL
• Unix/Linux
• Vantage
• Gabriel Nimbus
• Power BI
• Business Objects (BO)
• CI/CD