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# Enterprise Data Engineer

- **Company:** Accenture
- **Location:** Chantilly, VA, United States
- **Experience:** Experienced
- **Salary:** $111,800.0 - $221,800.0
- **Contract:** Permanent contract
- **Skills:** Apache HTTP Server, Cloud Computing, Apache Lucene, Information Engineering, Data Governance, Extract Transform Load (ETL), Elasticsearch, Information Lifecycle Management, Python (Programming Language), Performance Tuning, Scrum Methodology, Cloud Services, SQL Databases, Enterprise Data Management, Data Storage Technologies, Apache Spark, Indexer, Kubernetes, Apache Nifi, Data Management, Data Pipelines
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=edd1686d22d5f2c6

## About the Role

Do you have experience in Spark implementation?, * 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

Security clearance:

 * Active TS/SCI with Poly security clearance is required

## Description

* 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


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