mux - Senior Data Engineer

• 5+ years of data engineering experience, with a strong software engineering foundation • You have built and run a data stack end to end in production. That means ingestion, warehouse, transformation, orchestration, and keeping it running after launch, not just one layer of it • Deep hands-on dbt experience: model design, testing, macros, CI, and refactoring a large, messy project into something maintainable • Hands-on experience administering a cloud data warehouse (Snowflake preferred; BigQuery or Databricks considered), including permissions, performance tuning and cost management • Data contracts, data observability tooling (e.g. Metaplane, Monte Carlo, Elementary) • Expert SQL and strong data modeling skills (dimensional modeling, grain, slowly changing dimensions) • Strong Python for pipelines, automation and tooling • Experience with managed ingestion tools (e.g. Fivetran, Airbyte) and comfort working in AWS or GCP • Real day-to-day use of AI coding tools, plus a clear sense of where they help and where they get things wrong • A working foundation in analysis and statistics: you can take a business question, pull the data, sanity-check it, and present a clear answer without handing it off • You care about data quality and governance, and build things to last • Experience building semantic layers (dbt Semantic Layer / MetricFlow, Cube, Omni, LookML or similar) • Experience building or integrating LLM agents over structured data: text-to-SQL, MCP servers, retrieval over metric definitions • Experience designing evals for LLM output quality • Data science experience: forecasting, regression, cohort or churn modeling, experiment analysis • Experience running other data platforms beyond the warehouse, such as vector databases, time-series databases, ACID-compliant transactional databases, streaming systems (Kafka, Kinesis), and caches like Redis • Reverse ETL into Salesforce, NetSuite or HubSpot • Finance data experience: revenue, billing, COGS, cloud cost allocation • Experience in developer tools, API-first or infrastructure companies; video streaming or CDN background is a plus • Experience at a smaller company where you owned a broad scope • WHAT MAKES YOU SUCCESSFUL • You're equally comfortable debugging a Snowflake warehouse bill and writing a dbt test • You think correct data matters more than clever AI, and you know the agent work only pays off once the data is right • You use AI to go faster and still verify the output • You see tech debt as something to remove, and you leave every codebase simpler than you found it • You take ownership of problems end to end, from root cause to fix to validation • You balance perfectionism with pragmatism: ship something good, then iterate • You build strong relationships across functions and can explain technical tradeoffs to non-technical people • If you don't have all of these requirements but think your experience could be a great fit, that's okay! Please apply and we can talk about what's most needed in the role • We have a supportive culture that cares about both excellent work and work-life balance. We have office spaces in Downtown San Francisco, New York City, and London