8 days ago
Remote, United States +2 moreSenior
Base Salary
$190k - $220k/yr
Responsibilities
- Own the Snowflake warehouse, ingestion layer, dbt transformation layer, architecture, administration, permissions, CI/CD, costs, ingestion standards, and data quality.
- Build and maintain ingestion from production systems and business tools using Fivetran or equivalent, and keep pipelines synchronized with product changes.
- Run orchestration, deployments, environment management, and incident response for the data platform.
- Push curated data into Salesforce, NetSuite, HubSpot, and other business systems.
- Build semantic models and the data foundation used by internal AI agents, and help measure agent answer correctness.
- Improve data quality and reliability through testing, data contracts, observability, upstream logic, and technical-debt reduction.
- Use coding agents such as Claude Code and Cursor for pipeline and dbt development, testing, and refactoring.
- Define standards for AI tools accessing production data, including access controls, review, and human verification.
- Partner with Engineering, Finance, FinOps, Product, and GTM to prioritize data models and understand business questions.
Requirements
- 5+ years of data engineering experience with a strong software engineering foundation.
- Experience building and operating a complete production data stack spanning ingestion, warehouse, transformation, orchestration, and ongoing operations.
- Deep hands-on dbt experience including model design, testing, macros, CI, and refactoring large projects.
- Hands-on administration of a cloud data warehouse, preferably Snowflake, including permissions, performance tuning, and cost management; BigQuery or Databricks are also considered.
- Experience with data contracts and data observability tooling such as Metaplane, Monte Carlo, or Elementary.
- Expert SQL, strong data modeling skills, and knowledge of dimensional modeling, grain, and slowly changing dimensions.
- Strong Python skills for pipelines, automation, and tooling.
- Experience with managed ingestion tools such as Fivetran or Airbyte and familiarity with AWS or GCP.
- Day-to-day use of AI coding tools and the ability to assess where they help and where their output requires verification.
- Working knowledge of analysis and statistics, including extracting, sanity-checking, and clearly presenting answers to business questions.
- Commitment to data quality, governance, maintainable systems, ownership, pragmatic delivery, and cross-functional communication.
- Preferred experience includes semantic layers such as dbt Semantic Layer, MetricFlow, Cube, Omni, or LookML; LLM agents over structured data; LLM evaluation; data science; additional data platforms; reverse ETL; finance data; developer tools; API-first or infrastructure companies; video streaming or CDN; and broad ownership at a smaller company.
Benefits
- Flexible vacation or 25 days of annual leave plus 8 public holidays in the UK, and 11 company holidays in the U.S.
- Weekly no-meeting days and quarterly focus weeks.
- Health, dental, vision, medical, fertility, FSA, and HSA benefits vary by country.
- Short- and long-term disability insurance, group life insurance or assurance, and travel accident insurance.
- 401(k) in the U.S. or matched pension in the UK.
- Paid parental leave.
- Professional development program.
- Lunch, internet, cafe, team social event, and ancillary equipment reimbursements vary by country.
- Office spaces are available in Downtown San Francisco, New York City, and London.
Tech Stack
Categories
Data Engineering
About Mux
Mux provides video infrastructure APIs that let developers add live and on‑demand video to their products. Its platform includes Mux Video for encoding, storage, and delivery, and Mux Data for quality and performance analytics, sold via usage-based SaaS. Founded in 2015 and headquartered in San Francisco, the privately held company is used by customers such as Substack, HubSpot, Vimeo, Paramount, and PBS.