Enterprise Data Engineer

Accenture Federal ServicesChantilly, VA
20d

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. 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. Activities include the following tasks: 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.

Requirements

  • 6+ years of professional experience
  • 4+ years of experience with data engineering or software engineering
  • Experience designing or building platforms
  • Experience with development and maintenance of extract, transform and load (ETL) tools and services
  • Experience with Python, SQL, Spark or other data engineering programming
  • Bachelors degree
  • Security Clearance
  • Active TS/SCI with polygraph clearance

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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service