Senior Data Engineer — Scalable Healthcare Data Pipelines

Carrot; San Francisco (CA); On-site; USD 145,000 - 165,000; Full time

Benefits offered by this job

Flexible Time Off

Parental leave

Equity or bonus potential

Job summary

Carrot is seeking a Sr. Data Engineer to lead evolution of our data infrastructure across analytics, reporting, and BI.

You will architect, build, and maintain robust data pipelines, integrate diverse sources, and partner with Business Intelligence, Product, Finance, Legal, and Commercial teams to deliver secure, high-quality data solutions. You will own end-to-end data lifecycle from ETL/ELT design to automation, improving reliability, recency, and cost efficiency while mentoring teammates and

Qualifications

• Expert-level proficiency in Snowflake, dbt, and Python for data modeling, transformations, and pipelines.

Responsibilities

• Architect, build, test, deploy, and maintain scalable ETL/ELT pipelines.
• Administer and optimize cloud data warehouses and lakes (Snowflake, AWS, Google Cloud).
• Orchestrate data workflows with scheduling, monitoring, and error resolution.
• Design secure external data flows via SFTP, Files.com, and APIs.

Skills

Snowflake

dbt

Python

SQL

Airflow

Prefect

Git/GitHub

Jira

Tools

Snowflake

AWS

Redshift

Google Cloud

Prefect

Airflow

dbt

Job description

Carrot is seeking a Sr. Data Engineer to lead evolution of our data infrastructure across analytics, reporting, and BI.

You will architect, build, and maintain robust data pipelines, integrate diverse sources, and partner with Business Intelligence, Product, Finance, Legal, and Commercial teams to deliver secure, high-quality data solutions. You will own end-to-end data lifecycle from ETL/ELT design to automation, improving reliability, recency, and cost efficiency while mentoring teammates and