Forward Data Engineer
About the role
The work you'll do includes designing and optimizing Data Pipelines using Spark, Apache Iceberg, EMR cloud services, and Kubernetes containers. You'll ensure the pedigree and provenance of the data is maintained, clean and preprocess data for advanced analytics, collaborate with enterprise working groups, and support the engineering team in updating and maintaining data services.
Responsibilities
- Design and optimize Data Pipelines using Spark, Apache Iceberg, EMR cloud services, and Kubernetes containers
- Ensure the pedigree and provenance of the data is maintained
- Clean and preprocess data to enable access for advanced analytics
- Collaborate with enterprise working groups to advance the state of data standards
- Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings
- Collaborate with software engineers to update, configure, and maintain data services based on the requirements
- Conduct quarterly analysis and provide recommendations for data tools that support data functions on the new environment and other services
- Provide support that may include administration and performance tuning of data tools to keep current for continuous RMA efforts
Requirements
- 4 to 7+ years of experience in the following areas:
- Data lifecycle engineering
- Development and maintenance of extract, transform and load (ETL) tools and services
- Cloud and on-prem data storage and processing solutions
- Python, SQL, Spark and other data engineering programming
- COTS and open source data engineering tools such as ElasticSearch and NiFi
- Palantir Foundry
- Agile / Scrum
Qualifications
- Security clearance: Active TS/SCI with Poly security clearance required
Skills
- Experience with Data Lifecycle Engineering
- Experience with 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 Palantir Foundry
- Experience with Agile / Scrum
Benefits
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, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience.
Pay
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $130,200—$265,300 USD
Schedule
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, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience.
Benefits
Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here.
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