Helping the US federal government make the nation stronger and safer and life better for people by leveraging technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations at Accenture Federal Services
Requirements
- 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
- Experience working with federal clients
- Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
Responsibilities
- Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies
- Develop efficient data processing and transformation workflows to support analytics and reporting needs
- Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets
- Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability
- Contribute to data governance, security, and automation initiatives within the data ecosystem
- Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment
Other
- Must have an active TS Clearance or above
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
- Bachelor's, Master's, or PhD degree (not explicitly mentioned but implied)
- Ability to work collaboratively with cross-functional teams
- Commitment to creating a culture of inclusion and respect
