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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Data Platform - **Company:** The Mill - **Location:** San Bruno, United States - **Experience:** Experienced - **Salary:** $185,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Airflow, Business Logic, Automation of Tests, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Distributed Systems, Fault Tolerance, Identity and Access Management, Python (Programming Language), PostgreSQL, Online Transaction Processing, Role-Based Access Control, Mixpanel, SQL Databases, Data Streaming, Tableau (Software), Datadog, Pulumi, Data Ingestion, Large Language Models, Snowflake, Amazon Relational Database Service, Core Data, Data Analytics, Operational Systems, Data Management, Tools for Reporting, Terraform, Looker Analytics, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-engineer-data-platform-mill-9599962 ## About the Role * 3-5 years of experience operating data engineering systems in production * Have 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) * Have 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 - not required, but a strong plus given the team's direction * 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 * Experience with event tracking or product analytics ## Description As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data quality, and the self-serve analytics platform (Hex + Snowflake) our business teams rely on. You'll work closely with the Senior Data Engineer owning our recommendations platform, contributing to and supporting that work as needed, with the opportunity to grow into deeper recommendation/LLM-based work over time. You'll partner closely with product, engineering, data analytics, and marketing teams. What You'll Do * Design, build, and maintain scalable data pipelines across Mill's product and operational systems * Manage and maintain data infrastructure that powers our product and operational systems, ensuring it's reliable and ready to feed external customers and downstream 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 business teams * Help maintain the metrics, table endorsements, and business logic that analysts and stakeholders rely on * Own data quality monitoring - build alerting, validation frameworks, and observability tooling so data issues get caught before they become business problems ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)