Senior Data Engineer - Remote Data Pipelines & Observability

Fuze Health Inc.; Colorado; On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and medical plans

401(k) retirement plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Paid holidays

Paid parental leave

Sick time and vacation

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a scalable data platform that delivers timely data for operations and business insights.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and enable data-driven decision making. You will deploy pipelines, design observability metrics, and integrate third-party data while optimizing transformations on large datasets.

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.

Skills

Cloud platforms

Data manipulation (SQL & Python)

Infrastructure as code

Software engineering

Education

Bachelor's degree in quantitative field

Master's degree (preferred)

Tools

Snowflake

Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a scalable data platform that delivers timely data for operations and business insights.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and enable data-driven decision making. You will deploy pipelines, design observability metrics, and integrate third-party data while optimizing transformations on large datasets.