Forward Data Engineer
About The Position
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Job Description: Design and optimize Data Pipelines using Spark, Apache Iceberg, EMR cloud services, and Kubernetes containers, and support the offices in other data platforms. Ensure the pedigree and provenance of the data is maintained such that the access to data is protected. Clean and preprocess data to enable access for advanced analytics. Collaborate with enterprise working groups to advance the state of data standards. Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings. Collaborate with software engineers to update, configure, and maintain data services based on the requirements. Conduct quarterly analysis and provide recommendations for data tools that support data functions on the new environment and other services. Provide support that may include administration and performance tuning of data tools to keep current for continuous RMA efforts.
Requirements
- 5-10+ years of experience with the following:
- Data lifecycle engineering, preferably with Big Data Engineering
- Development and maintenance of extract, transform and load (ETL) tools and services
- Cloud and on-prem data storage and processing solutions
- Python, SQL, Spark and other data engineering programming
- COTS and open source data engineering tools such as ElasticSearch and NiFi
- Agile / Scrum
- Active TS/SCI with Poly security clearance is required.
Responsibilities
- Design and optimize Data Pipelines using Spark, Apache Iceberg, EMR cloud services, and Kubernetes containers, and support the offices in other data platforms.
- Ensure the pedigree and provenance of the data is maintained such that the access to data is protected.
- Clean and preprocess data to enable access for advanced analytics.
- Collaborate with enterprise working groups to advance the state of data standards.
- Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings.
- Collaborate with software engineers to update, configure, and maintain data services based on the requirements.
- Conduct quarterly analysis and provide recommendations for data tools that support data functions on the new environment and other services.
- Provide support that may include administration and performance tuning of data tools to keep current for continuous RMA efforts.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
