Data Engineer
Summary
Build and own ETL pipelines that reconcile royalty data from streaming platforms to ensure music creators are paid fairly, using Python, dbt, PostgreSQL, and Airflow.
Join a high-impact U.S.-based startup transforming the music industry through automation. As a Senior Data Engineer, you’ll architect intelligent pipelines that help music creators get paid fairly by reconciling millions of rows of royalty data across 15+ streaming platforms. You’ll build the data layer from scratch using modern tools and take full ownership of performance, quality, and auditability.
About You
- You have 5+ years of experience as a Data Engineer working on production-grade ETL pipelines.
- You’re passionate about clean, reliable data and solving complex transformation problems.
- You communicate effectively with both technical and non-technical stakeholders.
- You thrive in fast-paced environments and love building systems from the ground up.
What You’ll Be Doing
- Design and implement an end-to-end ETL pipeline to process millions of rows of royalty data per day.
- Develop platform-specific CSV parsers and build a robust dbt project with clear transformation layers.
- Integrate with streaming APIs (Spotify, Chartmetric) for data enrichment and validation.
- Ensure high data quality using frameworks like Great Expectations.
- Build monitoring dashboards and set up alerts to maintain pipeline health.
- Normalize financial data across currencies and territories and handle song metadata matching.
What We’re Looking For
- Proactivity and a solution-oriented mindset.
- Attention to detail in financial data handling.
- Ability to prioritize tasks and manage time effectively.
- Comfort working independently in a startup environment.
Technical Requirements
Must-Haves:
- 5+ years of experience in data engineering roles.
- 3+ years of experience with dbt in production.
- Advanced SQL and Python skills.
- Experience with orchestration tools like Airflow or Dagster.
- Strong knowledge of PostgreSQL, including schema design and optimization.
- Familiarity with Git and CI/CD pipelines.
Nice-to-Haves:
- Knowledge of the music industry or financial reconciliation processes.
- Experience with Great Expectations or similar tools for data quality.
- Integration experience with 5+ third-party APIs.
- Handling of multi-currency and multi-territory data.
- Experience with dbt Cloud, Terraform, Looker, or Metabase.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Information Technology
Industries
Entertainment Providers