Senior Data Engineer — Scale Pipelines & Insights (Remote)

Fuze Health Inc.

Indianapolis (IN)

Remote

USD 140,000 - 170,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
401(k) Retirement plan
Life insurance
Paid time off

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that serves operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and ensure scalable data delivery.

The role focuses on deploying data pipelines, building observability platforms, and enabling data-driven decision making. It requires cloud experience (AWS/GCP/Azure), Python and SQL, and a strong background in ETL/ELT

Qualifications

  • Bachelor's degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science.
  • At least 4 years of experience in software engineering.
  • Experience with cloud vendors: AWS, GCP, Azure.
  • Programming experience in Python and SQL on large datasets.
  • Master's degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).

Responsibilities

  • Deploy new data pipelines.
  • Design and build data observability platforms and metrics.
  • Build metadata driven pipeline solutions.
  • Monitor and optimize data transformations.
  • Build third party data integrations.

Skills

Python
SQL
AWS
Terraform
ETL/ELT
Data pipelines

Education

Bachelor's Degree in quantitative field
Master's Degree in quantitative field

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that serves operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and ensure scalable data delivery.

The role focuses on deploying data pipelines, building observability platforms, and enabling data-driven decision making. It requires cloud experience (AWS/GCP/Azure), Python and SQL, and a strong background in ETL/ELT

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