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Salary
≈ $54k – $141k per year (Estimated)
Location
In office (Buenos Aires)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on May 7, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

We are seeking an experienced Data Engineer(mid-level) to join our Market Data Services team, focusing on our high-impactThird Party Data program.

As a Engineer at JPMorgan Chase within our Market Data Services team, you will play a pivotal role in delivering third party data, via cloud-based Data Platforms for business use across JPMorgan including AI/ML. You will be working within an Agile project environment, participating in two-week sprint cycles, and collaborating closely with cross-functional teams to deliver high-quality solutions.

Key Responsibilities

  • Extract, Transform and Load data from Third Parties into AWS Storage and Databases.
  • Building and maintaining AWS Environments.
  • Configure monitoring for cloud environments.
  • Actively participate in Agile ceremonies and two-week sprint cycles.
  • Collaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.

Required qualifications, skills, and capabilities

  • Experience with AWS Lambda, AWS Neptune, AWS Glue.
  • Proficient in SQL for Oracle, No-SQL DSL for Elasticsearch or any other Database querying language.
  • Experience with AWS and Terraform for building and maintaining solutions.
  • Cloudwatch or Dynatrace experience.
  • Experience working in Agile teams.
  • Experience with Python development.

Preferred qualifications, skills, and capabilities

  • Experience building and deploying Kubernetes based solutions.
  • Experience with Jenkins and Spinnaker pipelines .
  • Any experience with Azure cloud provider is also favorable.
  • Any experience with ChatGPT API.
  • Any experience with ODRL/DCAT.
  • Any experience building Business Intelligence solutions
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