Senior Data Engineer - Remote Health Data Platform

Fuze Health Inc.; Guin (AL); Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental & Vision

401(k) Plan

Life Insurance

AD&D Insurance

FSA/HSA

Commuter Benefits

STD/LTD

Supplemental Insurance

Paid Vacation

Paid Sick Time

Holidays

Floating Holidays

Parental Leave

Caregiver Leave

Lifestyle Spending Account

Job summary

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain data platforms delivering timely insights for operational teams and business stakeholders. You'll collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and scale the platform.

Responsibilities include deploying new data pipelines, building observability, metadata-driven solutions, and integrating third-party data sources. Strong SQL and Python are 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 one or more cloud vendors: AWS, GCP, Azure.
• Experience with infrastructure as code tools and methodologies.
• SQL-based and Python data manipulation with large datasets.

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

4+ years software engineering

Cloud platforms (AWS/GCP/Azure)

Infrastructure as code

SQL data manipulation

Python data processing

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Tools

AWS

Terraform

Snowflake

Python

ELT/ETL design

Job description

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain data platforms delivering timely insights for operational teams and business stakeholders. You'll collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and scale the platform.

Responsibilities include deploying new data pipelines, building observability, metadata-driven solutions, and integrating third-party data sources. Strong SQL and Python are required.