Senior Data Platform Engineer — Remote

Fuze Health Inc.; Columbus (OH); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and medical plans to

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA and HSA

Commuter benefits

STD and LTD insurance

Lifestyle Spending Account

Job summary

Fuze Health is hiring a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data for operations and decision-makers. You will collaborate with Data Scientists and Analysts to transform data into actionable insights and work with DevOps to ensure infrastructure as code and scalable systems.

The role emphasizes designing and implementing data pipelines, monitoring data transformations, and integrating third-party data sources, with a focus on cloud-based data

Qualifications

• Bachelor's degree in a quantitative field.
• At least 4 years of software engineering experience.
• Experience with AWS, GCP, or Azure.
• Experience with infrastructure as code tools.
• Proficient in SQL and Python for 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

SQL

Python

Data manipulation

Cloud platforms

Infrastructure as code

Education

Bachelor's Degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science

Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science)

Tools

Terraform

Snowflake

Job description

Fuze Health is hiring a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data for operations and decision-makers. You will collaborate with Data Scientists and Analysts to transform data into actionable insights and work with DevOps to ensure infrastructure as code and scalable systems.

The role emphasizes designing and implementing data pipelines, monitoring data transformations, and integrating third-party data sources, with a focus on cloud-based data