Senior Analytics Engineer

Multi Media LLC

4h•$162,000 - $186,000•Remote

About The Position

Multi Media, LLC is the company behind Chaturbate, one of the most heavily trafficked live streaming platforms in the world. We support a global network of independent content creators and millions of real-time viewers, delivering interactive video at scale. Our infrastructure handles complex broadcasting, low-latency streaming, and high-engagement user experiences. All live, all the time. We’re building a platform where creators can express themselves freely and grow their communities, where viewers discover and interact with creators they’re drawn to, and where the team behind it is challenged, trusted, and responsible for shaping the experience of millions of users around the world. We value people who take initiative, stay curious, and care deeply about the quality and impact of what they build. We are looking to bring on a Senior Analytics Engineer to help us design and maintain scalable data models and pipelines that power critical business intelligence and empower self-service analytics across the company. You’ll collaborate closely with data analysts, engineers, and product teams to create clean, well-documented datasets that unlock insights and accelerate decision-making. Your work will have a real impact across the organization, from day-to-day reporting to strategic planning.

Requirements

5-7+ years in writing performant SQL for complex data transformations, efficient querying, and developing scalable data models
Experience with data warehousing concepts, dimensional modeling, and data quality testing frameworks
Proficiency with dbt, SQLMesh, and modern cloud platforms like AWS, GCP, or Azure
Experience with ingestion tools like Fivetran, Airbyte, or Meltano
Strong understanding of version control, code reviews, and testing best practices
Ability to communicate complex data concepts clearly across technical and non-technical teams
Experience with BI tools such as Looker, Omni, Tableau, or Hex
A documentation mindset that supports knowledge sharing and transparency

Nice To Haves

Intermediate to advanced knowledge in Python
Experience with orchestration tools like Airflow, Dagster, Prefect
Familiarity with CI / CD workflows
Hands on experience with Data Observability tools like Monte Carlo, Metaplane, or Elementary Data

Responsibilities

Create clean, scalable, and documented data models, often using tools like dbt (data build tool).
Define business logic in the warehouse to support analysis (e.g., metrics, dimensions, aggregations).
Write SQL-based transformations to turn raw data into analytics-ready formats.
Follow best practices in modular code, version control, and test-driven development
Collaborate with data engineers to build and maintain ETL/ELT workflows.
Ensure pipelines are reliable, monitored, and cost-efficient.
Work closely with data analysts, product managers, engineering, and other cross-functional partners to understand needs and deliver usable data assets.
Champion data quality, consistency, and literacy across teams
Maintain clear documentation for datasets, definitions, and assumptions
Promote best practices in data access, usage, and stewardship

Benefits

Fair and competitive base salary
Fully Remote Optional
Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company
Long & Short term disability insurance
Unlimited PTO
Annual Year-End Company Closure
Optional 401k with 5% matching
12 Paid Holidays
Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite
Employee Assistance and Employee Recognition Programs
And much more!