Senior Data Engineer - Remote Data Platform & Pipelines

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

Benefits offered by this job

Dental, vision, and medical plans

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA and HSA

Job summary

Fuze Health, a digital health company, seeks a Senior Data Engineer to design, build, and maintain data platforms that deliver timely insights for operations and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data, codify infrastructure as code, and scale the platform.

Role requires at least 4 years of software engineering experience, proficiency with SQL and Python on large datasets, and hands-on experience with AWS, GCP, or Azure plus

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 of the major cloud vendors: AWS, GCP, Azure.
• Experience with infrastructure as code tools and methodologies.
• Experienced in 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.

Education

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

Master's Degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health, a digital health company, seeks a Senior Data Engineer to design, build, and maintain data platforms that deliver timely insights for operations and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data, codify infrastructure as code, and scale the platform.

Role requires at least 4 years of software engineering experience, proficiency with SQL and Python on large datasets, and hands-on experience with AWS, GCP, or Azure plus