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Data Engineer III

JPM*** · Columbus, OH, United States
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Columbus, OH, United StatesOnsite
Remuneration
Not specified
Location
Columbus, OH, United States
Visa sponsorship
Sponsors visa

Job summary

JOB DESCRIPTION You'll join a team where your work directly improves how we build, deploy, and run data products at scale. You'll collaborate closely with engineers and data scientists, apply modern cloud and automation practices, and help deliver solutions that are reliable, secure, and designed for long-term use.

Benefits

And programs to meet employee needs, based on eligibility.Additional details about total compensation andWill be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bringWe are an equal opportunity employer and place a high value on diversity and incVisit our FAQs for more information about requesting an accommodation.Equal Opportunity Employer/Disability/VeteransABOUT THE TEAMWe're proud to lead the U.In credit card sales and deposit growth and have the most-used digital solutions

Qualifications

  • capabilities and
  • in cloud environments.
  • ABOUT US
  • Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products.
  • Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do.
  • We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
  • We also offer a range of

Responsibilities

  • You'll join a team where your work directly improves how we build, deploy, and run data products at scale.
  • You'll collaborate closely with engineers and data scientists, apply modern cloud and automation practices, and help deliver solutions that are reliable, secure, and designed for long-term use.
  • You'll drive business impact through strong engineering practices, deep technical expertise, and a disciplined approach to solving complex problems across data, cloud infrastructure, and machine learning operations.
  • Design, build, and maintain scalable data pipelines and extract, transform, load (ETL) processes using Amazon Web Services.
  • Develop and support cloud-native data processing solutions with a focus on performance, reliability, and operational excellence.
  • Automate infrastructure provisioning and lifecycle management using Terraform.
  • Build and maintain machine learning operations (MLOps) capabilities for model training, deployment, monitoring, and governance.
  • Engineer solutions to handle large datasets with appropriate resiliency, observability, and cost awareness.
  • Partner with software engineers and data scientists to deliver end-to-end data and AI solutions from development through production.
  • Contribute to integrating generative AI and machine learning patterns, including transformer-based approaches (for example tokenization and embeddings), where applicable to business use cases.
  • Participate in agile ceremonies, code reviews, and design discussions to continuously improve engineering quality.
  • Required

Degrees

Associate

Industry

AutomotiveBankingHealthcare

Company size

Smb