AFS is in search of a Data Engineer to develop stages of distributed parallel data processing pipelines, which includes but is not limited to:
- configuring data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics
Responsibilities:
- Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform Follow agile methodologies when applied to the data engineering part of the system development life cycle (SDLC)
- Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material
Required Qualifications:
- 5 years of experience as a data engineer with a Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) OR 7 years of experience as a data engineer with a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM)
- 5 years of experience with distributed parallel streaming and batch data processing pipelines
- 5 years of experience with Python, Java, or other programming languages
- 3 years of experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)
- 3 years of experience with developing, operating, and maintaining data processing pipelines in a classified environment
- 3 years of experience integrating with data SDKS / APIs and data analytics SDKS / APIs
- 3 years of experience with data mapping, modeling, enriching, and correlating classified data
- 3 years of experience with the identification and deduplication of data sources and record types to meet military requirements
- 3 years of experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.
- 1 year of experience with Python/PySpark
- 1 year of experience with Java/Java interface to Spark
CLEARANCE:
- Active TS/SCI is required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Skills Required
- Master’s degree in a STEM discipline and 5 years of data engineering experience, or bachelor’s degree in a STEM discipline and 7 years of data engineering experience
- 5 years of experience with distributed parallel streaming and batch data-processing pipelines
- 5 years of experience with Python, Java, or other programming languages
- 3 years of experience applying Agile methodologies to data engineering within the SDLC
- 3 years of experience developing, operating, and maintaining data-processing pipelines in a classified environment
- 3 years of experience integrating data and analytics SDKs/APIs
- 3 years of experience with data mapping, modeling, enrichment, and correlation of classified data
- 3 years of experience identifying and deduplicating data sources and record types for military requirements
- 3 years of experience with Git repositories and CI/CD pipelines, including GitHub or GitLab
- 1 year of experience with Python/PySpark
- 1 year of experience with Java or Java interfaces to Spark
- Active TS/SCI security clearance
What We Do
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture LLP. It empowers US federal agencies to reinvent their operations and deliver missions faster using technology and AI. By leveraging mission expertise and commercial innovation, the company provides solutions in cloud, data, and cybersecurity to help the government make the nation stronger, safer, and more resilient.






