Senior Data Engineer - Scalable Health Data Pipelines

Fuze Health Inc.; Manchester (NH); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental & Vision

401(k) plan

Life Insurance

AD&D Insurance

FSA/HSA

Commuter Benefits

STD/LTD Insurance

Parental Leave

Paid Holidays

Flexible Vacation

Sick Time

Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer in Manchester, NH to build and maintain a data platform that serves operations and business decisions. You will collaborate with Data Scientists, Data Analysts, and DevOps to turn complex data into actionable insights and ensure scalable infrastructure.

The role requires 4+ years in software engineering, experience with Python and SQL, and familiarity with AWS/GCP/Azure and Terraform; prior ELT/ETL workflow design is a plus.

Qualifications

• Degree in Statistics, Economics, Engineering, Mathematics, or Data Science
• At least 4 years of work experience in software engineering
• Experience with one or more of the major cloud vendors: AWS, GCP, Azure
• Experienced in SQL-based and python data manipulation with large datasets
• Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science)
• Experience with AWS and Terraform
• Experience in designing ELT/ETL workflows
• Programming experience in Python
• At this time, Fuze Health is unable to sponsor or take over sponsorship of an employment Visa.

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

Data pipelines

Data transformation

ETL/ELT design

Data observability

DevOps collaboration

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health is seeking a Senior Data Engineer in Manchester, NH to build and maintain a data platform that serves operations and business decisions. You will collaborate with Data Scientists, Data Analysts, and DevOps to turn complex data into actionable insights and ensure scalable infrastructure.

The role requires 4+ years in software engineering, experience with Python and SQL, and familiarity with AWS/GCP/Azure and Terraform; prior ELT/ETL workflow design is a plus.