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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # mission-driven Data Platform Enginer - **Company:** OWNER - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $190,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Big Data, Code Review, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Google Analytics, Python (Programming Language), Standard Sql, Large Language Models, Snowflake, Build Management, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-platform-engineer-ownercom-9623032 ## About the Role * 5+ years of data engineering or analytics engineering experience * Strong SQL and Python fluency * Hands-on production experience with Snowflake * Deep ETL/ELT fundamentals, including dbt and a modern orchestrator such as Dagster or Airflow * Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems * Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders * Comfort building from zero - strong opinions, real energy for the work, and the ability to create structure where none exists * A sense of ownership, curiosity, and commitment to continuous learning While it's not required, it's an added plus if you also have * Experience building a semantic layer, or data infrastructure for AI/ML and LLM retrieval (RAG, feature stores, dataset compliance) * Experience with reverse ETL or personalization platforms * Databricks experience (we run Snowflake today) * Experience with data governance, access control, and cost optimization for large-scale data platforms * Experience mentoring engineers and fostering a culture of learning and technical excellence * Genuine interest in the product and our customers - helping local businesses succeed, not infrastructure for its own sake ## Description * Ingestion: Fivetran, Portable * Transformation: dbt, Hex * Storage: Snowflake * Orchestration: Dagster * Observability: Metaplane, Select.dev * Tracking: PostHog, GA4 * Reverse ETL: Hightouch, Fivetran/Census * BI: Sigma, plus an internal solution The impact you will have * Design and build the data systems that power analytics, AI, and business intelligence across Owner * Replace one-off custom scripts with reproducible, production-grade pipelines * Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers * Improve data reliability, consistency, and compliance so every stakeholder can trust the numbers * Move the team to self-service tooling for analysts and partners * Identify and drive cost and performance optimizations across compute, storage, and processing * Drive technical decisions and best practices for ingestion, transformation, orchestration, and storage * Provide thoughtful code reviews and technical guidance to peers, and help us build a great team Who you'll work with * The Data Platform team - four engineers today, plus the teammates we're hiring alongside you - reporting into Data Platform leadership * Data analysts, product engineers, and business teams across Owner (marketing, sales, ops, finance) who depend on this data every day * Product and Engineering leadership, on both internal decision-making and customer-facing product use cases ## 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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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