Senior Data Engineer - Remote Data Platform & Pipelines

Fuze Health Inc.

Clayton (NM)

Remote

USD 140,000 - 175,000

Full time

6 days ago
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Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that delivers timely insights for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data and codify infrastructure as code.

Responsibilities include deploying data pipelines, building observability platforms, and constructing metadata-driven solutions. Experience with SQL, Python, and cloud data tooling is required.

Qualifications

  • Bachelor's Degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science.
  • At least 4 years of work experience in software engineering.
  • Experience with AWS, GCP, or Azure.
  • Experience with infrastructure as code tools and methodologies.
  • Experienced in SQL-based and Python data manipulation with large datasets.
  • Master's Degree in a quantitative field preferred.
  • Experience with AWS and Terraform.
  • Programming experience in Python.
  • Experience administering Snowflake.

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

SQL
Python
Data manipulation

Education

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

Tools

AWS
GCP
Azure
Terraform
Snowflake

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that delivers timely insights for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data and codify infrastructure as code.

Responsibilities include deploying data pipelines, building observability platforms, and constructing metadata-driven solutions. Experience with SQL, Python, and cloud data tooling is required.

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