Enterprise Data Engineer

Accenture Federal Services•Chantilly, VA

16h

About The Position

At Accenture Federal Services, our purpose is to make the US federal government stronger and safer, and to improve the lives of its citizens through technology and ingenuity. We are a community of over 13,000 professionals dedicated to serving clients across defense, national security, public safety, civilian, and military health organizations. As a technology company within the global Accenture network, we are recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive environment where employees are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive meaningful, lasting change that advances government missions.

Requirements

4 to 7+ years of experience in one or more of the following areas: Data lifecycle 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/or 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, Trino, OpenSearch, Lucene, EMR cloud services, NiFi, and Kubernetes containers and the Indexing, ODM, and Viking Platform.
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 within Viking, Indexing, and ODM on the new environment.
Provide support that may include administration and performance tuning of data tools to keep current for continuous RMA efforts.