Senior Data Engineer - Healthcare Data Platform

Fuze Health Inc.; Austin (TX); Sur place; USD 140 000 - 175 000; Plein temps

Avantages offerts par ce poste

Dental and vision plans

401(k) retirement plan

Life insurance and AD&D

HSA and FSA options

Commuter benefits

Paid holidays and sick time

Parental leave

Lifestyle Spending Account

Résumé du poste

Fuze Health is seeking a Senior Data Engineer to build and maintain our data platform, enabling timely insights for operational teams and decision makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and scale our data capabilities.

You will deploy data pipelines, design observability platforms, and integrate third-party data sources, while leveraging AWS/GCP/Azure, Terraform, and Snowflake to support extensive datasets and analytics.

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.

Responsabilités

• 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.

Connaissances

Python

SQL

Data pipelines

Data transformation

Formation

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Outils

AWS

GCP

Azure

Terraform

Snowflake

Description du poste

Fuze Health is seeking a Senior Data Engineer to build and maintain our data platform, enabling timely insights for operational teams and decision makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and scale our data capabilities.

You will deploy data pipelines, design observability platforms, and integrate third-party data sources, while leveraging AWS/GCP/Azure, Terraform, and Snowflake to support extensive datasets and analytics.