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Senior Data Engineer at Multi Media LLC. Location Information: United States - Remote. . 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!. .