Uber
Senior Data Engineer (Mobility Simulation & Planning Platform)
About The Role
The Mobility Simulation & Planning (MSP) Platform team builds the systems that power pricing and incentive budget planning across Uber's global marketplace. As part of this team, you will help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You will collaborate with Product, Science, and Operations to solve complex technical challenges, offering a unique opportunity to grow as a software engineer while making measurable business impact at global scale.
What You Will Do
Partner with Engineering, Product, and Operations to define requirements, design data models, and deliver reliable production solutions.
Design and build scalable, efficient data pipelines and frameworks to power large‑scale decision systems and model infrastructure.
Drive improvements in data quality, reliability, and observability, ensuring data systems scale with Uber's business needs.
Lead initiatives to modernize data workflows from data orchestration (Airflow, Temporal) to distributed processing (Spark, Ray, etc.).
Mentor engineers and contribute to establishing best practices for data design, governance, and performance.
Basic Qualifications
Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field.
4+ years of experience in data engineering or backend development.
Strong SQL and data modeling skills.
Hands‑on experience with distributed data frameworks (Spark, Flink, Ray, Beam, etc.).
Proficiency in at least one programming language (Python, Go, or Java, etc.).
Experience building scalable ETL pipelines and working with modern data infrastructure (Hive, Presto, BigQuery, Snowflake, etc.).
Preferred Qualifications
6+ years of experience designing and operating large‑scale data systems in production.
Deep understanding of data warehousing, system performance, and optimization.
Proven ability to drive complex projects, influence cross‑functional teams, and mentor peers.
Self‑driven and passionate about scalability, automation, and system efficiency.
Familiarity with workflow orchestration frameworks (e.g., Airflow, Temporal) is a plus.
Salary & Benefits Base salary range: USD$198,000 – USD$220,000 per year (for all US locations). Eligible for Uber's bonus program, equity award, and comprehensive benefits. More details at
Uber Benefits .
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The Mobility Simulation & Planning (MSP) Platform team builds the systems that power pricing and incentive budget planning across Uber's global marketplace. As part of this team, you will help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You will collaborate with Product, Science, and Operations to solve complex technical challenges, offering a unique opportunity to grow as a software engineer while making measurable business impact at global scale.
What You Will Do
Partner with Engineering, Product, and Operations to define requirements, design data models, and deliver reliable production solutions.
Design and build scalable, efficient data pipelines and frameworks to power large‑scale decision systems and model infrastructure.
Drive improvements in data quality, reliability, and observability, ensuring data systems scale with Uber's business needs.
Lead initiatives to modernize data workflows from data orchestration (Airflow, Temporal) to distributed processing (Spark, Ray, etc.).
Mentor engineers and contribute to establishing best practices for data design, governance, and performance.
Basic Qualifications
Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field.
4+ years of experience in data engineering or backend development.
Strong SQL and data modeling skills.
Hands‑on experience with distributed data frameworks (Spark, Flink, Ray, Beam, etc.).
Proficiency in at least one programming language (Python, Go, or Java, etc.).
Experience building scalable ETL pipelines and working with modern data infrastructure (Hive, Presto, BigQuery, Snowflake, etc.).
Preferred Qualifications
6+ years of experience designing and operating large‑scale data systems in production.
Deep understanding of data warehousing, system performance, and optimization.
Proven ability to drive complex projects, influence cross‑functional teams, and mentor peers.
Self‑driven and passionate about scalability, automation, and system efficiency.
Familiarity with workflow orchestration frameworks (e.g., Airflow, Temporal) is a plus.
Salary & Benefits Base salary range: USD$198,000 – USD$220,000 per year (for all US locations). Eligible for Uber's bonus program, equity award, and comprehensive benefits. More details at
Uber Benefits .
#J-18808-Ljbffr