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Senior Associate, Data Engineer

  • Job type Posted on: Jul 22, 2026
  • Experience level FedEx
  • Employment type Honolulu, Hawaii
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Associate, Data Engineer

Job Type :

Full-time

Job Location :

Honolulu Hawaii United States

Remote :

No

Jobcon Logo Job Description :

We're currently partnered with a company based in the Greater Chicago area that is looking to bring on an experienced Data Engineer as a Senior Associate. The firm focuses on investments in innovative and high-growth start‑ups within various industries, including technology, healthcare, consumer, and financial services. Responsibilities Building and scaling data pipelines. Creating and deploying ETL workflows. Collaborate with data scientists and software engineers to build software products. Collaborate with ML Engineers to monitor ML models. Qualifications Bachelor's degree in Computer Science (or related field) 5+ years of relevant work experience outside internships 4+ years of experience with Python Experience with Spark or similar Strong experience building and scaling data pipelines (ETL/ELT) Experience with Infrastructure-as-Code (IaC) #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 22, 2026

Reference Number:

14660_2A4E2A3EEA4657F44BAEADAA28BAEAFB

Employment:

Full-time

Salary:

Not Available

City:

Honolulu

Job Origin:

APPCAST_CPC

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We're currently partnered with a company based in the Greater Chicago area that is looking to bring on an experienced Data Engineer as a Senior Associate. The firm focuses on investments in innovative and high-growth start‑ups within various industries, including technology, healthcare, consumer, and financial services. Responsibilities Building and scaling data pipelines. Creating and deploying ETL workflows. Collaborate with data scientists and software engineers to build software products. Collaborate with ML Engineers to monitor ML models. Qualifications Bachelor's degree in Computer Science (or related field) 5+ years of relevant work experience outside internships 4+ years of experience with Python Experience with Spark or similar Strong experience building and scaling data pipelines (ETL/ELT) Experience with Infrastructure-as-Code (IaC) #J-18808-Ljbffr

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