Senior Data Engineer — AI-Enabled Analytics Platform

Mux; New York (NY); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible vacation

No-meeting days

Health insurance

401(k)

Job summary

Mux is hiring a Senior Data Engineer to own the Analytics data stack end to end—from ingestion through Snowflake and dbt to the semantic layer used by AI agents. You will work on a small team, with broad scope and high visibility, and will heavily employ AI tools to improve pipelines and data quality.

You will build, maintain, and govern a robust data platform, push data to business systems, and partner with Finance, Product, and GTM to answer critical questions.

Qualifications

• 5+ years of data engineering experience with a strong software engineering foundation.
• Built and run a data stack end to end: ingestion, warehouse, transformation, orchestration, and post-launch stability.
• Deep hands-on dbt experience: model design, testing, macros, CI, refactoring.

Responsibilities

• Own the Mux data warehouse (Snowflake), ingestion and transformation layers; manage CI/CD, permissions, cost, and data quality.
• Build and maintain ingestion from production systems into the warehouse; keep in sync with product changes.
• Run platform day-to-day operations: orchestration, deployments, environment management, incident response.
• Push curated data to business systems like Salesforce, NetSuite and HubSpot.
• Build semantic models and data foundation behind AI agents; measure agent accuracy.

Skills

SQL

Python

dbt

Data modeling

ETL pipelines

Snowflake

Data governance

Airflow

AWS/GCP

AI tooling

Analytics

Tools

Snowflake

dbt

Fivetran

Airbyte

Job description

Mux is hiring a Senior Data Engineer to own the Analytics data stack end to end—from ingestion through Snowflake and dbt to the semantic layer used by AI agents. You will work on a small team, with broad scope and high visibility, and will heavily employ AI tools to improve pipelines and data quality.

You will build, maintain, and govern a robust data platform, push data to business systems, and partner with Finance, Product, and GTM to answer critical questions.