Senior Data Engineer

Mux, Remote +2

The role

Mux makes video easy for developers. Our APIs handle encoding, streaming, playback and analytics for companies like Patreon, Substack and Robinhood.

We're changing how Mux uses its own data. We're not building more dashboards. We're building semantic models that are clean, tested and well documented, and putting AI agents on top of them so anyone at Mux can ask a question in Slack and get a correct answer. Agents on top of bad data just give confident wrong answers faster. So this role is fundamentally a data engineering role: the warehouse, the pipelines and the dbt models have to be right before any of the AI work is worth anything.

All jobs

Senior Data Engineer

Mux, Remote +2

Posted pay

$190K–$220K

a year

Compared with similar jobs

This base pay is above the median for senior data engineering jobs that are remote in the US.

Median: $167K a year
Other jobs in the group: 70

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Remote +2
Work type: Remote
Level: Senior
Experience: 5+ years
Skills in the job text: Python
AWS
SQL
GCP
BigQuery
Databricks
dbt
Kafka
Redis
Salesforce
Snowflake
Posted: 7 days ago
Last check: 1 h ago
Job type: Data engineering

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Mux

Open tech jobs: 2
With posted pay: 100%

About Mux: funding, hiring and pay

Mux

About Mux: funding, hiring and pay

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The role

Mux makes video easy for developers. Our APIs handle encoding, streaming, playback and analytics for companies like Patreon, Substack and Robinhood.

What you need

Required qualifications

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

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

Senior Data Engineer

The role

Senior Data Engineer

The role

What you need

Required qualifications

What makes you successful

Nice to have

Own the Data platform end to end

Semantic models and agents

Data quality and reliability

Work AI-forward

Cross-functional partnership

U.s. benefits

UK benefits

About Mux

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