Note: The job is a remote job and is open to candidates in USA. Accenture Federal Services helps the US federal government strengthen national security, public safety, civilian services, and military health through technology and ingenuity. The Data Engineer will design and maintain scalable data pipelines, transform and integrate data from diverse sources, and develop cloud-native data solutions using platforms such as Databricks and AWS. The role also supports data quality, governance, security, automation, and collaboration with data science, analytics, and business teams.
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
- Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals
- 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
Skills
- 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
- 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
Benefits
- Hands-on experience
- Certifications
- Industry training
- A collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive
Company Overview