Remote Senior Data Engineer - Data Pipelines & Observability

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

Benefits offered by this job

Dental

Vision

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA and HSA

Commuter benefits

STD & LTD insurance

Supplemental insurance plans

Flexible vacation time

Paid sick time

10 paid holidays

Floating holidays

Paid parental leave

Caregiver leave

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to design, build, and maintain data pipelines and observability platforms that empower operations and business decisions.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and scale our data platform. The role requires 4+ years in software engineering, expertise in Python and SQL, and experience with AWS/GCP/Azure and Terraform.

Qualifications

• Bachelor's degree in a quantitative field (Stats, Econ, Eng, Math, or Data Science).
• At least 4 years of software engineering experience.
• Experience with AWS, GCP, or Azure.
• Experience with SQL-based and Python data manipulation with large datasets.
• Master's degree in a quantitative field.
• Experience with AWS and Terraform.
• Experience in designing ELT/ETL workflows.
• Programming experience in Python.
• Cannot sponsor 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

AWS

GCP

Azure

Python programming

ELT/ETL

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to design, build, and maintain data pipelines and observability platforms that empower operations and business decisions.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and scale our data platform. The role requires 4+ years in software engineering, expertise in Python and SQL, and experience with AWS/GCP/Azure and Terraform.