Data Engineer

Summary

Accenture Federal Services is a technology company serving the US federal government across defense, national security, public safety, civilian, and military health organizations. The Data Engineer will design and maintain scalable data pipelines, develop transformation workflows, integrate diverse data sources, and deliver cloud-native data solutions using technologies such as Databricks, Spark, and AWS. The role also supports data quality, governance, security, automation, and collaboration with cross-functional teams.

Responsibilities

• 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

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
• 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
• 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

Qualifications

Must Haves

• 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
• 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

Nice to Haves

• 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

• 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.