1566 - Data Engineer IV
Strategic Data Systems - Cincinnati, Ohio, United States, 45208
Work at Strategic Data Systems
Overview
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Overview
1566 - Data Engineer IV
role at
Strategic Data Systems . 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 - onsite Top Skills
Must Have: Python SQL Nice To Have: AWS Sagemaker 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 SageMaker. 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'll 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 SageMaker 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! Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
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