Data Analytics Engineer I, Tech - Data
Role Overview
We are seeking a highly skilled and experienced Data Analytics Engineer I, to join our Customer Support Data (CSD) team within Uber’s Community Operations (CommOps) organization. As a key member of our team, you will be responsible for:
Optimizing data-resource utilization and data quality.
Standardizing core business metrics through canonical datasets.
Building data-engineering practices across Uber Customer Support Data.
Managing and optimizing CommOps-data infrastructure.
What the candidate will do
Build and maintain data pipelines and data products that power analytics, reporting, and machine-learning use cases across the Delivery organization.
Develop batch and real-time data-processing workflows that transform large datasets into reliable and well-structured data assets.
Contribute to the development of core business metrics and analytical datasets used by product, data science, and engineering teams.
Work closely with product engineers, data scientists, and analysts to understand data requirements and implement scalable solutions.
Ensure data quality, reliability, and timeliness across pipelines by following established data-engineering best practices.
Support performance optimizations and infrastructure improvements to improve pipeline efficiency and maintain SLA commitments.
Participate in improving data-engineering tools, processes, and documentation within the team.
Basic Qualifications
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
Minimum of 2 years of technical experience in a data-focused role, such as business analytics and intelligence and engineering or data science
Experience coding using a general-purpose programming language such as Python, Go, or a similar language.
Experience working with data-processing frameworks such as Spark, Hive, or similar technologies.
Understanding of data-warehousing concepts and analytical data modeling.
Experience writing data-transformation logic, queries, and scripts for data-processing workflows.
Strong problem-solving skills and the ability to work collaboratively with cross-functional teams.
Knowledge of cloud technologies like GCP, AWS, Azure
Knowledge of reporting tools like Tableau and/or other BI tools.
Knowledge of building AI models/agents is a plus.
Key Skills for This Role
Full Job Posting
About the Role
We are seeking a highly skilled and experienced Data Analytics Engineer I, to join our Customer Support Data (CSD) team within Uber’s Community Operations (CommOps) organization. As a key member of our team, you will be responsible for:
Optimizing data-resource utilization and data quality.
Standardizing core business metrics through canonical datasets.
Building data-engineering practices across Uber Customer Support Data.
Managing and optimizing CommOps-data infrastructure.
What the candidate will do
Build and maintain data pipelines and data products that power analytics, reporting, and machine-learning use cases across the Delivery organization.
Develop batch and real-time data-processing workflows that transform large datasets into reliable and well-structured data assets.
Contribute to the development of core business metrics and analytical datasets used by product, data science, and engineering teams.
Work closely with product engineers, data scientists, and analysts to understand data requirements and implement scalable solutions.
Ensure data quality, reliability, and timeliness across pipelines by following established data-engineering best practices.
Support performance optimizations and infrastructure improvements to improve pipeline efficiency and maintain SLA commitments.
Participate in improving data-engineering tools, processes, and documentation within the team.
Basic Qualifications
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
Minimum of 2 years of technical experience in a data-focused role, such as business analytics and intelligence and engineering or data science
Experience coding using a general-purpose programming language such as Python, Go, or a similar language.
Experience working with data-processing frameworks such as Spark, Hive, or similar technologies.
Understanding of data-warehousing concepts and analytical data modeling.
Experience writing data-transformation logic, queries, and scripts for data-processing workflows.
Strong problem-solving skills and the ability to work collaboratively with cross-functional teams.
Knowledge of cloud technologies like GCP, AWS, Azure
Knowledge of reporting tools like Tableau and/or other BI tools.
Knowledge of building AI models/agents is a plus.
About Uber
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