19th December, 2025
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
Job Title: Data Engineer III
Location: Cincinnati, OH (downtown)
TOP SKILLS:
Must Have
- Python
- R-Studio
- Snowflake
- SQL
- Streamlit
Nice To Have
- Amazon Sagemaker
- DB2
- DBT
- ETL
What You'll Do Squad: Data Science Enblement squad in the Data Insights Tribe
Required: In office 4 days a week minimum (Monday-Thursday)
**This is a unique position so I'm going to prioritize local talent first then expand out to remote
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, 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.
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)
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.
What You'll Get SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
- Competitive base salary
- Medical, dental, and vision insurance coverage
- Optional life and disability insurance provided
- 401(k) with a company match and optional profit sharing
- Paid vacation time
- Paid Bench time
- Training allowance offering
- You'll be eligible to earn referral bonuses!
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