Remote Senior Data Engineer: Pipelines & Observability

Fuze Health Inc.; Wilmington (VT); Remote; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Dental

Vision

401(k) plan

group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

STD and LTD insurance

Supplemental insurance plans

Flexible vacation time

Paid sick time

Paid holidays

Floating holidays

Parental leave

Caregiver leave

Lifestyle Spending Account

Zusammenfassung

Fuze Health is seeking a Senior Data Engineer to build and maintain platforms delivering timely data for operations and decision makers. You will work with data scientists, analysts, and DevOps to transform data into actionable insights.

The role requires 4+ years in software/data engineering, strong Python and SQL, and experience with ELT/ETL and cloud providers. Visa sponsorship is not available at this time.

Qualifikationen

• Bachelor's degree in a quantitative field and a master's preferred.
• 4+ years in software engineering or data engineering.
• Experience with cloud providers (AWS, GCP, Azure).
• Proficient in Python and SQL for large datasets.
• Design ELT/ETL workflows and metadata-driven pipelines.
• Experience with Terraform and cloud infrastructure as code.
• Employer does not sponsor visas at this time.

Aufgaben

• Build and maintain data pipelines and platforms for operational teams.
• Collaborate with data scientists and analysts to enable insights.
• Develop data observability platforms and metrics.
• Integrate third-party data sources and ensure data quality.
• Partner with DevOps to codify infrastructure as code.

Kenntnisse

Python programming

SQL

Data manipulation

ELT/ETL design

Large datasets

Ausbildung

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Jobbeschreibung

Fuze Health is seeking a Senior Data Engineer to build and maintain platforms delivering timely data for operations and decision makers. You will work with data scientists, analysts, and DevOps to transform data into actionable insights.

The role requires 4+ years in software/data engineering, strong Python and SQL, and experience with ELT/ETL and cloud providers. Visa sponsorship is not available at this time.