Mill

Data Engineer - Data Platform

Mill · San Bruno, California

Posted 28 days ago · $185k to $210k

or apply directly on Mill's site. We never take the application ourselves.

Is this posting real?

This role has been open
28 days
Mill's roles stay open a median of 45 days
Reposted
No
Salary listed
Yes
80% of Mill's roles list one
Ghost-job risk at Mill
high
15 stale, 0 reposted of 25 open
Hiring momentum
29 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Mill's own greenhouse board since 2026-08-03. Full hiring picture for Mill.

About this role

As a Data Engineer at Mill, you will be responsible for building and maintaining the core data infrastructure that supports analytics and product data across the company. Your work will involve designing scalable data pipelines, managing data quality, and collaborating with various teams to ensure reliable data flows for internal and external customers. You will also have opportunities to contribute to recommendation systems and work with tools like Hex and Snowflake.

Our read on this posting3.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Mill as an employer.

What you need

  • 3-5 years of experience operating data engineering systems in production
  • Built and operated data pipelines in production using Python, SQL, and tools like dbt, Airflow, Fivetran, or similar against a cloud data warehouse (e.g., Snowflake)
  • Used 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 how OLTP systems differ from warehouse/analytical workloads
  • Comfort working in a collaborative environment where data consumers are partners, not just stakeholders, and comfort moving between different types of work as priorities shift
  • A bias toward action

Nice to have

  • Exposure to recommendation, personalization, or LLM-based product logic
  • Experience building or supporting self-serve analytics tooling (Hex, Looker, or similar)
  • Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)
  • Experience with Mixpanel, Tableau, or similar BI/analytics tools
  • Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse

What you get

  • Estimated base salary range of $185k to $210k
  • Potential equity grant

Worth weighing

  • No specific mention of remote work options
  • The role involves collaboration with various teams, which may require flexibility in tasks and priorities
  • The salary range is provided, but it is not guaranteed and may vary based on several factors

Summarised from Mill's posting. Read the full original.

Listed by Mill on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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