Data Engineer
@ Accenture Federal ServicesData Engineer
This job is still taking applications, but it's been up a while.
About the job
Accenture Federal Services helps the US government enhance operations and security. We offer a collaborative environment, industry training, and growth opportunities for data engineers working with cloud, data pipelines, and integration projects for federal agencies.
Requirements
- Experience with cloud-based ETL services
- Experience with cloud data warehousing
- Experience with Python, SQL, Spark, PySpark
- Experience with data platforms like Databricks and Snowflake
- Familiarity with data quality and orchestration
Qualifications
- US citizen
- Data engineering certification
- Experience with federal clients
- Experience with open-source tools like ElasticSearch
- Agile/Scrum experience
Full job description
The work:
- Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
- Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs.
- Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
- Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
- Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
- Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem.
- Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Here’s what you need:
- Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
- Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
- Experience with Python, SQL, Spark, and PySpark
- Experience with data platforms like Databricks, Palantir, and Snowflake
- Familiarity with data orchestration and data quality processes
- Must be a US Citizen
Bonus points if you have:
- Secret clearance or above
- Experience working with federal clients
Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
- Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
Experience with Agile / Scrum
- Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
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. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
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