Data Engineer

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!

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 COTS and open-source data engineering tools such as ElasticSearch and NiFi

• Experience with Agile / Scrum

• Experience with data platforms like Databricks, Palantir, and Snowflake

• Familiarity with data orchestration and data quality processes

Bonus points if you have:

• Secret clearance or above

• Experience working with federal clients

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar