Accenture Federal Services
Snowflake Developer
About this role
Accenture Federal Services seeks a Snowflake Developer to design and build data solutions for federal government clients. You'll develop ETL pipelines, create data visualizations, and write Python code to transform requirements into cloud-based analytics platforms on Snowflake and AWS.
What you'll do
- Translate business requirements into Snowflake-based solutions and architectures
- Ingest data into Snowflake and develop, optimize, and maintain ETL pipelines
- Write and maintain Python code for data processing, transformation, and application support
- Build output datasets and create data visualizations using tools like Shiny, Streamlit, or Superset
- Design, build, and test APIs for data integration and interoperability
- Utilize AWS cloud services and container technologies (Docker, ECS, Snowpark) to support workflows
What they're looking for
- Snowflake platform development
- SQL data manipulation and transformation
- Python programming
- ETL pipeline design and development
- AWS cloud services
- API design and testing
- Data visualization tools (Shiny, Streamlit, Superset)
- Container services (Docker, ECS)
Benefits
- Collaborative and caring work community
- Professional growth through hands-on experience and certifications
- Industry training and development opportunities
- Comprehensive benefits package
- Recognized as Glassdoor Top 100 Best Place to Work
- Opportunity to support mission-critical federal government initiatives
Opens the official application on the employer’s site. No login required.
Accenture Federal Services
Accenture Federal Services builds and maintains mission-critical technology solutions for the U.S. federal government, including cloud infrastructure, enterprise systems integrations, and cyber defense tools. The company is hiring DevOps engineers, full-stack developers, SAP specialists, and test engineers to support classified and unclassified federal government projects.
- Website
- accenturefederal.com
Likely interview questions
- Walk us through a complex ETL pipeline you've built in Snowflake—what were the challenges and how did you optimize performance?
- How do you approach translating vague or complex business requirements into a Snowflake data architecture?