Senior Data Engineer - Streamlit (W2)
Posted 1 week ago by Javen Technologies, Inc
Negotiable
Undetermined
Remote
Remote
Summary: The Senior Data Engineer role focuses on migrating critical R Shiny dashboards to Streamlit within Snowflake, supporting the Data Science Enablement squad at Fifth Third Bank. This position emphasizes building governed, performant applications and curated datasets to facilitate enterprise ML/AI pipelines in AWS SageMaker. The ideal candidate will have hands-on experience and a strong interest in modern data tooling and collaboration with data science teams. The role is fully remote and offers opportunities for growth in ML/AI enablement.
Key Responsibilities:
- Migrate prioritized R Shiny dashboards to Streamlit in Snowflake and speed up delivery for risk/DS users.
- Build app patterns (state, caching, charts, tables/exports) and curate production-ready Snowflake datasets.
- Collaborate with DS/ML engineers to align dashboards with SageMaker pipelines and model monitoring.
- Apply governance and performance best practices.
- Contribute to lightweight tests/CI/CD and operational telemetry.
Key Skills:
- Streamlit
- Snowflake
- Python
- R / R Shiny literacy
- SQL
- DBT
- DB2
- ETL / orchestration tools
- AWS SageMaker
- Snowpark / CI/CD (e.g., GitHub Actions)
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Senior Data Engineer - Streamlit (W2)
Location: Cincinnati, OH 100% Remote
Duration: 1+ Year with potential extensions
Technical Skills Must Have
- Streamlit
- Snowflake
- Python
- R / R Shiny literacy
- SQL
Technical Skills Nice to Have
- DBT
- DB2
- ETL / orchestration tools
- AWS SageMaker
- Snowpark / CI/CD (e.g., GitHub Actions)
Job Description:
Squad: Data Science Enablement squad in the Data Insights Tribe
We re hiring a Data Engineer to join the Data Science Enablement squad in the Data Insights Tribe at Fifth Third Bank. This squad enables enterprise ML/AI pipelines in AWS SageMaker. In this role, you ll accelerate the migration of critical Cloud Pak for Data (R Shiny) dashboards to Streamlit in Snowflake supporting credit risk and data science users across the bank.
Our target is to fully transition off Cloud Pak for Data by December 31, 2026. You ll help us get there by building governed, performant Streamlit apps and curated, productionready datasets.
We re looking for a handson engineer who s eager to move fast for users and has an interest in ML/AI pipelining. Ideal candidates have partnered with data science teams to support model development, reporting, or deployment and want to grow in modern data tooling.
What you ll do
- Migrate prioritized R Shiny dashboards to Streamlit in Snowflake and speed up delivery for risk/DS users.
- Build app patterns (state, caching, charts, tables/exports) and curate productionready Snowflake datasets.
- Collaborate with DS/ML engineers to align dashboards with SageMaker pipelines and model monitoring.
- Apply governance and performance best practices
- Contribute to lightweight tests/CI/CD and operational telemetry.
Why this role
- High visibility & impact: you ll be central to the CP4D Streamlit in Snowflake transition.
- Growth: learn and contribute to ML/AI enablement while building productiongrade data apps.