Uber
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'll help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You'll collaborate with Product, Science, and Operations to solve complex technical challenges offering you a unique opportunity to grow as a software engineer while making a 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
The base salary range for this role is USD$198,000 per year – USD$220,000 per year for all US locations. You will also be eligible to participate in Uber’s bonus program and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at https://www.uber.com/careers/benefits.
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Information Technology
Industries:
Internet Marketplace Platforms
#J-18808-Ljbffr
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
The base salary range for this role is USD$198,000 per year – USD$220,000 per year for all US locations. You will also be eligible to participate in Uber’s bonus program and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at https://www.uber.com/careers/benefits.
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Information Technology
Industries:
Internet Marketplace Platforms
#J-18808-Ljbffr