Cleared Data Engineer
Accenture Federal Services
$93,400 - $176,200 / year
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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
Bonus points if you have:
- Experience working with federal clients
- Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
- Experience with Agile / Scrum
- Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
- Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Security Clearance:
- Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
#LI-DataAI
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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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.
About this role
Accenture Federal Services is seeking a cleared data engineer to design and build scalable data pipelines for federal government clients. The role centers on cloud-native data architecture using AWS services like S3, Glue, Lambda, and Redshift, combined with platforms such as Databricks and Snowflake. You'll develop ETL workflows, integrate diverse data sources, implement data quality and monitoring processes, and collaborate with data science and analytics teams to deliver solutions aligned with mission-critical objectives.
The position requires hands-on expertise in Python, SQL, Spark, and PySpark, along with demonstrated experience in cloud-based ETL services and data warehousing technologies. An active Top Secret or TS/SCI clearance (with polygraph preferred) is mandatory. Prior work with federal clients, containerization tools, data orchestration, or relevant certifications from Palantir, Azure, Google, or IBM would strengthen your candidacy. This is a full-time, in-office role in Washington, DC, with a salary range of $93,400 to $176,200 depending on experience and qualifications.
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Pay for this role
$93,400 to $176,200 per year
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