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Data Engineer IV

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: Strategic Data Systems, Inc.
Full Time position
Listed on 2025-12-24
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: 1822 Data Engineer IV

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 IV

Location

Cincinnati, OH (Downtown)

TOP SKILLS
  • Must Have:
    • ETL
    • Python
    • SQL
  • Nice To Have:
    • AWS Sage Maker
    • DBT
    • Snowflake
What You'll Do

Squad: Machine Learning Data Enablement squad in the Data Insights Tribe

Required: In office 4 days a week minimum (Monday‑Thursday)

We're hiring a Data Engineer to join our newly launched Machine Learning Data Enablement team at Fifth Third Bank. This team is focused on building high‑quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS Sage Maker. We're looking for an early‑career professional who's excited to grow in a hands‑on data engineering role. Ideal candidates will have experience working on machine learning‑related projects or have partnered with data science teams to support model development and deployment — and have a strong interest in enabling ML workflows through robust data infrastructure.

You will work closely with data scientists and ML engineers to deliver curated, production‑ready datasets and help shape how machine learning data is delivered across the bank. You should have solid SQL and Python skills, a collaborative mindset, and a strong interest in modern data tooling. Experience with Snowflake, dbt, or cloud data platforms is a strong plus. Familiarity with ML tools like Sage Maker or Databricks is helpful but not required — we're happy to help you learn.

This is a hands‑on role with high visibility and high impact. You'll be joining a team at the ground level, helping to define how data powers machine learning at scale.

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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