Hybrid Data Engineer: Analytics & Data Pipelines for Impact

Mill; San Bruno, Northern (CA, KY); Hybrid; USD 185,000 - 210,000; Full time

Job summary

Mill is hiring a Data Engineer to design and maintain core data infrastructure powering analytics and product data across the company. You’ll work on ingestion pipelines, warehouse modeling, data quality, and a self-serve analytics platform (Hex + Snowflake) used by business teams.

You will collaborate with product, engineering, data analytics, and marketing while growing into deeper recommendation/LLM-based work. 3–5 years of production data engineering experience required.

Qualifications

• 3–5 years of experience operating data engineering systems in production.
• Experience building data pipelines in production using Python, SQL, and tools like dbt, Airflow, Fivetran, or similar against a cloud data warehouse (e.g. Snowflake).
• Experience using Infrastructure as Code (e.g. Terraform, Pulumi) to provision and manage data infrastructure, with CI/CD discipline for pipeline and infra changes (automated testing, staged rollout, rollback).
• Experience working with transactional databases (e.g. PostgreSQL, Amazon RDS) as a data source, including understanding OLTP vs warehouse workloads.

Responsibilities

• Design, build, and maintain scalable data pipelines across Mill's product and operational systems.
• Manage and maintain data infrastructure powering product and operations, ensuring reliability for external customers and analytics.
• Collaborate with software engineers to instrument new product features and ensure event data flows cleanly.
• Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal teams.
• Maintain metrics, table endorsements, and business logic used by analysts.
• Own data quality monitoring with alerting, validation frameworks, and observability tooling.

Skills

Python

SQL

dbt

Airflow

Fivetran

Tools

Terraform

Pulumi

Job description

Mill is hiring a Data Engineer to design and maintain core data infrastructure powering analytics and product data across the company. You’ll work on ingestion pipelines, warehouse modeling, data quality, and a self-serve analytics platform (Hex + Snowflake) used by business teams.

You will collaborate with product, engineering, data analytics, and marketing while growing into deeper recommendation/LLM-based work. 3–5 years of production data engineering experience required.