Data Engineer
About The Position
Accenture Federal Services is seeking a Data Engineer to support the design, development, and maintenance of data pipelines, data models, and analytics platforms. The role is intended for people beginning a data engineering career who want to work with modern cloud, ETL, and automation technologies in a collaborative environment. The position supports federal government missions across defense, national security, public safety, civilian, and military health organizations. The Data Engineer develops and maintains scalable data ingestion and transformation pipelines; supports ETL/ELT work moving data from source systems into analytics environments; and helps ensure workflows are reliable, monitored, and documented. The role also contributes to structured datasets, data models, schemas, metadata, data validation, profiling, governance, security practices, and documentation of data flows and lineage. The engineer works with cloud platforms such as Azure, AWS, or GCP depending on the project, supports compute and storage resources, and collaborates with analysts, data scientists, and product teams. Participation in Agile ceremonies, sprint planning, code reviews, and continuous improvement is expected. An active TS/SCI clearance is required.
Requirements
- An active TS/SCI clearance is required.
- Experience with any combination of SQL, Python, ETL, data pipelines, and database design.
- Experience building scalable data solutions, dashboards, and automated reporting workflows.
- A strong background in business metrics, supply chain analytics, and data visualization.
Responsibilities
- Build, test, and maintain scalable data ingestion and transformation pipelines.
- Support ETL/ELT activities that move data from source systems to analytics environments.
- Ensure data workflows are reliable, monitored, and well-documented.
- Assist in designing and maintaining structured datasets for analytics, reporting, and machine learning use cases.
- Help define data models, schemas, and metadata within governed data environments.
- Perform routine data validation, profiling, and quality checks.
- Collaborate with senior engineers to implement data governance and security best practices.
- Contribute to documentation of data flows, lineage, and standards.
- Work with cloud platforms including Azure, AWS, or GCP, depending on the project, to deploy data assets.
- Support configuration, optimization, and maintenance of compute and storage resources.
- Partner with analysts, data scientists, and product teams to understand data requirements.
- Participate in Agile ceremonies, sprint planning, and code reviews.
- Pursue continuous learning and contribute to improving engineering processes.
Benefits
- The company offers a wide variety of benefits; specific benefits are not detailed in the posting.
- Hands-on experience, certifications, and industry training.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
