Accenture Federal Services
Enterprise Data Engineer
Accenture Federal Services, Chantilly, Virginia, United States, 22021
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. Must have:
4+ years of experience with data engineering Experience with development and maintenance of extract, transform and load (ETL) tools and services Experience with Cloud and on-prem data storage and processing solutions Experience with Python, SQL, Spark and other data engineering programming Experience with COTS and open source data engineering tools such as ElasticSearch and NiFi Experience with Agile / Scrum Security Clearance:
Active TS/SCI with polygraph clearance As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia. The base pay range for this position in these locations is $120,500—$221,800 USD. What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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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. Must have:
4+ years of experience with data engineering Experience with development and maintenance of extract, transform and load (ETL) tools and services Experience with Cloud and on-prem data storage and processing solutions Experience with Python, SQL, Spark and other data engineering programming Experience with COTS and open source data engineering tools such as ElasticSearch and NiFi Experience with Agile / Scrum Security Clearance:
Active TS/SCI with polygraph clearance As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia. The base pay range for this position in these locations is $120,500—$221,800 USD. What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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