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# Data Engineer

- **Company:** Accenture
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Salary:** $111,800.0 - $221,800.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Java (Programming Language), JavaScript (Programming Language), Bash Shell, Information Systems, Databases, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Stores, Elasticsearch, R (Programming Language), Apache HBase, Python (Programming Language), PostgreSQL, MongoDB, MySQL, NoSQL, Oracle (Applications), SQL Databases, Unstructured Data, Data Ingestion, Amazon Relational Database Service, Information Technology, Cassandra, Software Coding
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_accentureghi3-4709152006

## About the Role

mappings, code use guide, code location and access instructions. **Here's what you'll need** : + Bachelor's degree (or higher) in the field of computer science, information systems, engineering, mathematics, or other related scientific or technical discipline. + 5+ years of experience managing, optimizing query performance, and processing large volumes of bulk data. + Experience working with and performing data modeling. + Experience with software coding languages including at least two (2) of the following: Java, Javascript, SQL, Python, R or Bash Scripting. + Experience with database technologies including at least two (2) of the following: MySQL, NoSQL, PostgreSQL, Oracle, MongoDB, Elasticsearch, Hbase, RDS or Cassandra. **Security clearance** : + Active TS/SCI with Poly security clearance is required.

## Description

Join us to drive positive, lasting change that moves missions and the government forward! **Job Description** : Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. **The work you'll do** : + Movement of structure and unstructured data using approved methods. + Execute data ingestion activities for storing data in a local or enterprise level location. + Develop code to format data that supports exploration. + Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives. + Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. + Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. + Develop and deliver documentation for each project including ETL