AMBSE
Data Engineer
Mercedes-Benz Stadium · 2d ago
Not specified3+ YOE
Quick summary
AI parsed- Experience
- 3+ years of professional data engineering experience with strong SQL, Python (pandas, PySpark), Databricks/Snowflake, Azure Functions, Apache Airflow, and Git-based version control
Responsibilities
- Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives
- Build and optimize data models (dimensional, relational) across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data
- Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics
- Design and implement data orchestration workflows using Apache Airflow and/or Astronomer to ensure reliable, monitored, and scalable pipeline execution
Full description
As a Data Engineer, you will own key parts of the pipeline lifecycle—from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You’ll partner closely with analysts and stakeholders to turn questions into durable data products, improve reliability and observability, and help standardize patterns that scale across teams. Success in this role looks like dependable pipelines, well-modeled data, and faster delivery of insights.
Responsibilities:
Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to suppor…