Senior Data Engineer

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $190k - $220k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Mux

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔌 API

☁️ SaaS

📱 Media

💰 $105M Series D on 2021-04

API • SaaS • Media

Mux is an Internet video API provider that offers a cost-effective video infrastructure for businesses of all sizes. Trusted for streaming billions of minutes of video daily, Mux enables developers to build live and on-demand video experiences with unique API integrations. The platform provides everything necessary for creating beautiful web players and offers insights and real-time stream analytics to enhance viewer engagement. Mux addresses challenges in video streaming, helping businesses launch video features rapidly, customize players, and monitor streaming performance at scale. It's used by top brands to improve user experience and provides a straightforward integration process, making video work seamlessly across applications.

📋 Description

• Own the Mux data warehouse, ingestion layer, and transformation layer, including architecture, administration, permissions, CI/CD, cost, ingestion standards, and data quality • Build and maintain ingestion from production systems and business tools into the warehouse • Operate orchestration, deployments, environment management, and incident response • Push curated data to Salesforce, NetSuite, and HubSpot • Build semantic models and the data foundation behind internal business-question-answering agents • Help measure whether agents provide correct answers • Keep data accurate, tested, simple, observable, and governed • Reduce technical debt and simplify the codebase • Use coding agents such as Claude Code and Cursor for building, testing, and refactoring • Identify and build agent-based automation for manual data work • Establish standards for AI access, review, and human verification of production data interactions • Partner with Engineering on data production, changes, and retirement • Work with Finance, FinOps, Product, and GTM to prioritize models based on business questions • Participate in engineering-style cycle planning with goals, commitments, and status updates

🎯 Requirements

• 5+ years of data engineering experience, with a strong software engineering foundation • Built and run a data stack end to end in production, including ingestion, warehouse, transformation, orchestration, and post-launch operations • Deep hands-on dbt experience, including model design, testing, macros, CI, and refactoring large projects • Hands-on experience administering a cloud data warehouse; Snowflake preferred, with BigQuery or Databricks considered • Experience with permissions, performance tuning, and cost management • Experience with data contracts and data observability tooling such as Metaplane, Monte Carlo, or Elementary • Expert SQL and strong data modeling skills, including dimensional modeling, grain, and slowly changing dimensions • Strong Python for pipelines, automation, and tooling • Experience with managed ingestion tools such as Fivetran or Airbyte • Comfort working in AWS or GCP • Real day-to-day use of AI coding tools and understanding of their appropriate use and limitations • Working foundation in analysis and statistics • Commitment to data quality and governance • Bonus: experience with semantic layers, LLM agents over structured data, LLM evaluation, data science, additional data platforms, reverse ETL, finance data, developer tools/API-first/infrastructure companies, or smaller companies with broad ownership • Must be eligible to work in the US

🏖️ Benefits

• Flexible vacation + 11 company holidays • Weekly no-meeting days + quarterly focus weeks • Competitive health, dental, and vision insurance, including fertility • FSA and HSA available • Short-term and long-term disability insurance • Group life insurance • Travel accident insurance • 401(k) • Paid parental leave • Professional Development program • Lunch, internet, & ancillary equipment reimbursements • Competitive annual leave policy (25 days annual leave plus 8 public holidays) • Private medical and dental insurance, and a vision stipend, including fertility • Group life assurance • Matched Pension • Team social events

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