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Job Description

Insight Global is looking for a contractor to sit on-site in downtown Cincinnati with one of our largest financial clients. This Individual will be joining the Data Science Enblement 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 one of our top financial clients. 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, production ready datasets. We’re looking for a hands on 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 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.

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 production grade data apps.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Streamlit

• Snowflake

• Python

• R / R Shiny literacy

• SQL • dbt

• DB2

• ETL / orchestration tools

• AWS SageMaker

• Snowpark / CI/CD (e.g., GitHub Actions)