Senior Data Engineer

At ITA International, we’re a tech-enabled professional services company. Headquartered in Newport News, Virginia, we leverage subject matter expertise, data analytics and technology to challenge boundaries and transform possibilities.

With a global presence and a passionate team of over 200 ITAers, we’re driven by mission success for our customers, “In The Arena.” Our expertise spans Operations, Training, Engineering, Nanotechnology, Statistics, Machine Learning and Software Engineering – enabling data and tech-enabled solutions that deliver real value.

Join our impactful journey at ITA International. As Theodore Roosevelt said, “The credit belongs to the man who is actually in the arena.” We’re here, standing beside our customers, ready to serve and succeed.

ITA is seeking a Senior Data Engineer to join the team in Warner Robins, Georgia.

Please note this position is contingent upon successful contract award, expected Fall 2025.

Join a growing company to support the Untied States Air Force on analytic, modeling, and simulation capabilities. A senior data engineer works with datasets to help make data useful to a project; works to advance data science goals; prepares data for analytical or operational purposes; incorporates data security and data governance.

• Data Storage: Develop relational databases; data warehouses that include central repositories for structured data to maximize usage for querying and analysis; data lakes for unstructured and structured data. Ensure all development adheres to the approved versions of software, languages, libraries, and frameworks, and is maintained in centralized source control.
• Data integration:
  Integrate data from various sources, such as sensor data and simulation data, to support assessments and validation of models.
• Data infrastructure: Leverage government-provided infrastructure to include data centers, cloud environment, or a hybrid of both. Ensure all work is performed using approved software, languages, libraries, and frameworks, and is maintained in centralized source control for seamless integration with the approved cloud environments.
• Data processing. Document the entire process in briefings, documents, information papers or reports suitable for top management use and decision-making. Extract, Transform, Load (ETL) tools for data integration; batch processing for large amounts of data at scheduled intervals; and if an API exists, stream processing of real-time data. Utilize only approved tools and versions compatible with the organization's cloud environment.
• Data Management:
  Establish data governance policies and procedures for data quality, data privacy and compliance; data cataloging; and data security. Ensure these policies align with the approved software, languages, libraries, and frameworks used within the organization.
• Data Architecture. Design and develop the data architecture that supports EMS operations and M&S activities.
• Collaborate with stakeholders: Work closely with business stakeholders to understand data requirements and align with business objectives;
  Collaborate with data engineers, data analysts, and other IT teams to implement and maintain data architecture; and communicate data architecture concepts and decisions to both technical and non-technical stakeholders. Oversee and guide less senior staff on reporting and briefing.

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, Operations Research, or a related technical field. PhD desired.
• 10+ years of relevant experience.
• Expert knowledge of data bases, data modeling, and SQL.
• Active Secret clearance. Ability to obtain and maintain TS/SCI.

Desired Skills:

• Familiar with tools such as Tableau, Power BI, and Python for analysis and visualization.
• IBM Data Engineering Professional Certificate
• Google Cloud Certification:
  Cloud Data Engineer Professional Certificate
• IBM Data Warehouse Engineer Professional Certificate
• Knowledge of optimization techniques, predictive modeling, and statistical analysis.
• Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
• Strong communication skills…