Enterprise Data Engineer
Description For Enterprise Data Engineer
Accenture Federal Services is seeking an Enterprise Data Engineer to join their team. This role is crucial in developing new tools, code, and services for data engineering activities involving various types of data. The position involves tasks such as data movement, ingestion, formatting, and transformation to support exploration and meet mission objectives.
Key Responsibilities:
- Design and optimize Data Pipelines using technologies like Spark, Apache Iceberg, Trino, OpenSearch, and more
- Ensure data pedigree and provenance maintenance
- Clean and preprocess data for advanced analytics
- Collaborate with enterprise working groups on data standards
- Work with engineering teams, data stewards, and mission partners
- Conduct quarterly analysis and provide recommendations for data tools
- Provide support for administration and performance tuning of data tools
Requirements:
- 4+ years of experience in data engineering
- Experience with data lifecycle engineering and ETL tools/services
- Familiarity with Cloud and on-prem data storage and processing solutions
- Proficiency in data engineering programming (Python, SQL, Spark or similar)
- Experience with COTS and open-source data engineering tools (e.g., ElasticSearch, NiFi)
- Agile/Scrum experience
- Active TS/SCI with polygraph clearance
This role offers an exciting opportunity to work on impactful projects that strengthen and safeguard the nation. You'll be part of a team of 13,000+ professionals united in pursuing the limitless potential of technology and ingenuity for federal government clients.
Join Accenture Federal Services to grow your career through hands-on experience, certifications, and industry training. You'll work in an inclusive, collaborative environment that empowers you to drive positive, lasting change that moves missions and the government forward.
The salary range for this position is $108,500 - $214,300 USD, with a comprehensive benefits package. Accenture Federal Services is an equal opportunity employer committed to diversity and inclusion.
Responsibilities For Enterprise Data Engineer
- 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
Requirements For Enterprise Data Engineer
- 4+ years of experience with data engineering
- Experience with data lifecycle engineering and development and maintenance of extract, transform and load (ETL) tools and services
- Experience with Cloud and on-prem data storage and processing solutions
- Experience with data engineering programming (Python, SQL, Spark or similar)
- Experience with COTS and open-source data engineering tools such as ElasticSearch, NiFi or similar
- Experience with Agile / Scrum
- Active TS/SCI with polygraph clearance
Benefits For Enterprise Data Engineer
- Comprehensive benefits package
- Opportunity for growth through hands-on experience, certifications, and industry training
- Inclusive and collaborative work environment
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