Data Engineer

Accenture Federal Services•Chantilly, VA

10d•$111,800 - $221,800

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

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.
Active TS/SCI with Poly security clearance is required.

Responsibilities

Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions.
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 mappings, code use guide, code location and access instructions.