Offer summary

Qualifications:

BS degree in a STEM field, 5-7 years of experience in building batch and streaming data pipelines, Fluency in Python and SQL, Deep understanding of GCP/AWS cloud infrastructure..

Key responsibilities:

Design and implement data architecture and systems for ingestion and transformation.

Build and maintain end-to-end ETL/ELT pipelines using tools like Airflow and dbt.

Implement data quality frameworks and monitor data health.

Contribute to internal tooling and optimize compute/storage usage.

Job description

About us: Multi Media LLC is a leader in digital innovation, focusing on creating modern products for the content creator community. Our main platform, Chaturbate, is a key player in the adult entertainment industry, bringing billions of people together worldwide. We aim to make Chaturbate the best place for users and creators to interact and connect, offering a safe, creative, and engaging space for everyone.

We’re looking for a Senior Data Engineer with a strong infrastructure focus to help us build and operate the foundation of our data platform. In this role, you will bridge data engineering and platform operations, as well as designing systems for ingestion, transformation, and observability at scale. You’ll help define architecture patterns, implement strong data pipelines, and optimize the performance and reliability of our entire data ecosystem. This will be a rewarding opportunity if you are looking for a role where you can make a significant impact on a product with millions of users and petabytes of data.

What you’ll do:

Data Architecture and System Design

Design a well-partitioned and clustered data warehouse that minimizes cost while letting analysts self-serve fast queries
Define patterns for scalable and efficient data storage, partitioning, and access
Architect batch and streaming systems to enable reliable data movement and transformation

Pipeline Development and Maintenance

Build and maintain end-to-end ETL/ELT pipelines using tools like Airflow, dbt, and dlthub
Implement strategies for schema evolution, backfilling, and safe migration
Automate ingestion from APIs, event streams, file drops, and third-party sources

Data Quality and Observability

Implement validation frameworks, anomaly detection, and unit tests across pipelines
Monitor data health and build resilient processes for issue detection and resolution

Platform and Tooling

Contribute to internal tooling, documentation, and engineering standards
Support CI/CD workflows for data pipelines and analytics code
Optimize compute/storage usage and recommend architectural or cost-saving improvements

Requirements

What you’ll bring

BS degree in a STEM field
5-7 years of experience in building batch and streaming data pipelines from various sources end-to-end, including ingestion, processing, and transformation
You are fluent in Python and SQL
Knowledge of data privacy and security best practices (e.g. data masking, PII layering)
Experience with data orchestration tools like Airflow, Dagster, or Prefect
Familiarity with data observability tools like Monte Carlo, Metaplan, or BigEye
Experience with Semantic modeling and common BI tools (e.g. Looker, Omni, Tableau, Metabase)
Deep understanding of GCP/AWS cloud infrastructure and offerings (IAM/Compute/Kubernetes/Analytics)
Experience with Cloud Data Warehouses (Snowflake, BigQuery, Redshift, etc.) and data transformation tools (DBT, SQLMesh)
Hands-on experience with infrastructure as code platforms like Terraform or Pulumi

Bonus Points:

Knowledge of data governance best practices
Deep experience with data modeling and database architecture

Benefits

What You’ll Get:

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!

The Base Salary range for this position is $165,000 to $180,000 USD. This range reflects base salary only and does not include additional compensation or benefits. The range displayed reflects the minimum and maximum range for a new hire across the US for the posted position. A candidate’s specific pay will be determined on a case-by-case basis and may vary based on the candidate’s job-related skills, relevant education, training, experience, certifications, and abilities of the candidate, as well as other factors unique to each candidate.

Multi Media, LLC is an equal opportunity employer and strives for diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage people from underrepresented groups to apply!

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