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Job Details


Federal - Data Engineer

Business and Financial Operations

Logistics Engineer

Full Time

On Site


Pittsburgh, Pennsylvania, United States

We Are:

Accenture Federal Services, bringing together commercial innovation with the latest technology to unleash the potential for our federal clients. We help federal clients tackle their toughest challenges while unleashing their fullest potential. We bring together commercial innovation and leading-edge technologies to deliver an integrated, mobile and interactive experience that far exceeds expectations. How our passion meets purpose! Through our diverse culture and inclusive thinking, we embrace our employees' ideas taking them from concept to practical solutions. Not to mention, we sleep well at night knowing our work directly impacts and improves the way the world works. We keep our tech smarts sharp by providing abundant training and certification opportunities. Are you ready to learn and grow in a career, while making a difference 

You are:

Responsible for building end-to-end processes for a variety of structured, semi-structured, and unstructured data sources using a range of tools including ETL tools and open source programming (python) to ingest into a Cloudera/Impala Data Lake environment. The successful candidate will have a strong background in SQL, Python, Linux, ETL best practices, strong attention to detail, and a can do attitude.

The Work:

  • Develop new tools, code, and services to execute data engineering activities

  • Movement of structure and unstructured data using approved methods

  • Execute data ingestion activities for storing data in a local or enterprise level location

  • View data in its source format

  • 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 formatting and transformations into enterprise or boutique data models

  • Implement existing ETL code and best practices standards

  • Develop an ETL Code Transition Plan

  • Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions

  • Facilitate Code Reviews

  • Provide consulting services to support data transport, ingestion, conditioning, access, and management