Data Engineer
Backend Developer
Azure
Big Data
Bigdata
Cloud
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Management
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Database
Databases
Databricks
ETL
GCP
Informatica
Information Technology (IT)
SQL
Job Description
At D&G Support Services, LLC, this on-site Data Engineer role supports USTRANSCOM’s mission as the Single Manager for Global Bulk Fuel Management and Delivery (GBFMD). You will help establish and maintain the foundational data capabilities for the Joint Petroleum Enterprise (JPE), enabling bulk fuel data collection, management, and consumption across the Department of Defense through pipelines, APIs, and integration solutions.
What you will do
- Develop and maintain data pipelines that ingest data into Databricks and support integration with Palantir Ontology and other enterprise platforms.
- Work with cross-functional teams to support Common Operating Picture (COP) development and related data integration activities.
- Review and analyze Joint Petroleum Enterprise data sources, including applications, websites, programs, and operational systems, to identify data integration and enhancement opportunities.
- Design and implement scalable ingestion processes that transform source data into structured formats for enterprise consumption and API development.
- Develop, publish, and maintain APIs that provide standardized access to enterprise data across the Joint Petroleum Enterprise.
- Collaborate with stakeholders to manage and maintain enterprise data dictionaries, metadata repositories, and data governance artifacts.
- Administer data structures, data topics, and engineering processes, applying industry best practices.
- Participate in technical working groups and stakeholder meetings to support metadata requirements, data modeling, architecture decisions, and tool selection.
- Support preparation of presentations and technical materials for USTRANSCOM, Joint Staff, and Office of the Secretary of Defense governance forums.
- Provide technical recommendations and support for enterprise data modernization initiatives.
- Complete additional assigned projects and tasks as directed by program leadership.
Required qualifications
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 5+ years of experience in data engineering, software development, or a related technical discipline.
- Strong proficiency with SQL and Python.
- Experience building and maintaining data pipelines using Apache Spark, Kafka, or similar technologies.
- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Experience designing and implementing data integration solutions.
- Ability to communicate effectively with technical and non-technical stakeholders.
- Active Secret clearance with eligibility to obtain and maintain a TS/SCI.
Preferred experience
- Experience with Databricks and Palantir Ontology.
- Experience with data warehousing, ETL processes, and enterprise data management.
- Experience with API development and RESTful web services.
- Experience with data modeling techniques and metadata management.
- Experience with Maven Smart Systems or similar logistics and supply chain platforms.
- Experience supporting the Department of Defense, Defense Logistics Agency (DLA), or USTRANSCOM.
- Experience working in Agile development environments.
Technologies
- SQL, Python, Databricks
- Palantir Ontology
- Apache Spark, Kafka
- AWS, Microsoft Azure, Google Cloud Platform
Compensation and benefits
- USD 125,000 - 150,000 per year
- Competitive salary
- Benefits
- 401(k)
- Bonus and profit sharing
- Flexible hours
- Education reimbursement
- PTO
Eligibility and location
- Secret clearance with ability to obtain and maintain TS/SCI
- Travel within CONUS up to approximately 10%
- Restricted to U.S. persons as defined under 8 U.S.C. 1324b(a)(3)
- On site at Scott Air Force Base, Illinois
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