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Mid-Level Data Engineer

Roles & Responsibilities

  • 8-12 years of experience in designing and implementing data pipelines, data curation, data modeling, and data solutions.
  • Mandatory experience in banking or lending domains.
  • Hands-on experience with AWS data services (e.g., Spark, Glue, S3, EMR, RDS) and related tooling.
  • Proficiency with REST APIs and Node.js, and with infrastructure as code (Terraform).

Requirements:

  • Design, build, and maintain scalable data pipelines and data solutions.
  • Model, curate, and govern data to support analytics, reporting, and decision-making.
  • Collaborate with cross-functional teams to implement solutions using AWS data services and REST APIs.
  • Work within the banking/lending domain to ensure compliant and secure data practices.

Job description


Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes


Mid-Level Data Engineer
REMOTE

Prior Experience with Banking/Lending is mandatory

8-12 Yrs. of experience in solutioning and implementing data pipelines, data curation, data modeling and implementing data solutions. Work experience in many of these areas such as REST APIs, RDS, Spark, Glue, S3, Terraform, CloudWatch, nodeJS, EMR, etc.

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