CrawlJobs Logo
Uber Logo Uber · IT - Software Development

Staff Software Engineer - Data

India, Bangalore Employment contract · Job Posted May 04, 2026
Apply Position
Job Link Share

Job Description

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Job Responsibility

  • Own the Technical Vision: You will own and drive the technical roadmap for the Payments data ecosystem, balancing long-term architectural scalability with short-term business critical deliveries
  • Navigate Ambiguity: Actively identify strategically important problems and inefficiencies without waiting for instruction
  • Drive Alignment: See the big picture and drive consensus on complex technical decisions across the organization
  • Architect at Scale: Design and implement resilient, cost-effective, and high-scale batch and streaming pipelines that power critical support operations and financial analytics
  • Elevate Data Standards: Define and enforce robust data modeling standards, data contracts, and governance frameworks
  • Optimize & Automate: Identify opportunities to automate manual workflows (like SLA tracking and issue detection) and optimize infrastructure efficiency to lower TCO
  • Raise the Bar: Champion sustainable engineering practices
  • Be a Trusted Mentor: Serve as a humble mentor and technical advisor to both junior engineers and peer leaders
  • Force Multiplier: Act as a role model for judgment and responsibility

Requirements

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
  • Experience Level: 10+ years of hands-on experience in Data Engineering, with a proven track record of delivering results at a Staff Engineer level (or equivalent scope) at a premier technology company
  • Expert SQL Competency: 10+ years of hands-on, expert-level SQL experience
  • Data Modeling & Warehousing: Extensive experience designing dimensional data models (Star/Snowflake schemas) and data warehouses
  • Software Engineering Fundamentals: Proficiency in at least one high-level programming language (Java, Scala, Python, or Go)
  • Big Data Ecosystem: 10+ years of experience working with distributed data systems (Hadoop, Hive, Spark) and MPP databases (Vertica, Redshift, etc.)
  • End-to-End Architecture: Experience designing full-lifecycle data systems, including logging, ingestion (Batch/Stream), quality frameworks, and monitoring
  • Technical Leadership: Excellent written and verbal communication skills
  • Mentorship & Growth: A strong passion for driving engineering excellence and mentoring engineers

Nice to have

  • Technical Strategy & Architecture: Batch Processing Optimization
  • Technical Strategy & Architecture: Streaming & Real-Time
  • Technical Strategy & Architecture: Cloud & Fault Tolerance
  • Modern Data Stack & Languages: Polyglot Engineering
  • Modern Data Stack & Languages: Lakehouse Architecture
  • Observability & Data Trust: Advanced Observability & Data Quality
  • Observability & Data Trust: Data Governance & Contracts
  • Domain & Leadership: FinOps & Cost Strategy
  • Domain & Leadership: Domain Expertise
  • Domain & Leadership: Governance & Mentorship
Uber - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Staff Software Engineer - Data

8 matching positions

New

Sr Staff Software Engineer (Data & Ai Platform)

We are looking for a talented and experienced Sr Staff Software Engineer to join...
Location
Location
Israel , Petah Tikva
Salary
Salary:
Not provided
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • At least 5 years of experience with Python
  • Minimum of 2 years of hands-on experience with AWS
  • Proven experience with the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment
  • Excellent problem-solving skills and strong attention to detail
  • Ability to manage multiple projects simultaneously and strong organizational skills
Job Responsibility
Job Responsibility
  • Define and implement best practices for the R&D platform
  • Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions
  • Work on edge technologies and cloud platforms to enhance our services
  • Participate in all phases of the SDLC, including design, development, testing, and deployment
  • Ensure high ROI on deliverables by optimizing processes and solutions
  • Share knowledge and best practices across the company to promote a culture of continuous improvement
  • Fulltime
Read More
Arrow Right

Staff Software Engineer (Data)

As a Staff Software Engineer, you will be a technical leader in our Data Science...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
arrive.com Logo
Arrive
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive history of building and scaling data-intensive applications in production, with a track record of leading technical initiatives from conception to deployment
  • Expert-level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks
  • Deep understanding of distributed data processing engines like Apache Spark
  • A strong command of Linux, containers (Docker), and infrastructure as code for cloud deployments (AWS preferred)
  • A passion for elevating engineering standards through pair programming and detailed code reviews to help other engineers grow their technical depth
Job Responsibility
Job Responsibility
  • Architect and Implement: Own the technical roadmap for our Spark-based data processes to ensure our Airflow pipelines are performant, cost-effective, and scalable. You will enhance our existing services through hands-on development and solve any complex performance bottlenecks, concurrency issues, and systemic bugs
  • Drive Engineering Excellence: Define standards for efficient, testable and reusable Python code across the organisation that ensure our services remain reliable, robust, and easy for other engineers to extend
  • Bridge Strategy and Execution: Partner with Data Scientists to translate modeling requirements into high-performance production services. You will design the architectures necessary to meet sophisticated data-serving needs, ensuring our parking and EV products remain accurate and responsive at scale
  • Modernize Infrastructure: Evolve our infrastructure-as-code (AWS) and CI/CD pipelines to keep up with cutting-edge approaches. You will personally contribute to the automation and observability patterns that allow us to deploy fresh data and production services with high confidence and zero downtime
  • Advance Data Capabilities: Lead the hands-on development of platform enhancements, such as establishing feature stores for machine learning and building automated data monitoring systems to ensure data integrity and model reproducibility
  • Scale AI Practices: Lead the adoption of AI throughout the software development lifecycle, evolving our internal coding practices while ensuring systems remain reliable and maintainable
What we offer
What we offer
  • Flexible working - hybrid home and office-based opportunities
  • Paid Leave if you participate in an event for Charity
  • 25 Days holiday entitlement
  • An enhanced Workplace Pension Scheme - 5% by Arrive, 3% by you
  • Private Medical Health Insurance
  • Fantastic wellbeing programmes, including On-site Sports massages, Reiki and Head massages every week
  • Discounted gym membership
  • Access to Blue Call, a mental health support platform
  • Enhanced Maternity and Paternity offering
  • Fulltime
Read More
Arrow Right

Senior Staff Software Engineer: Data & Storage Platform

Uber’s Data Platform is the heart of the company’s critical decision-making and ...
Location
Location
United States , Seattle; San Francisco; Sunnyvale
Salary
Salary:
267000.00 - 297000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems
  • Mastery of Storage Internals: Extensive storage experience is a must
  • Deep expertise in: Batch & Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management
  • Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures
  • Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB)
  • NoSQL & Cache: Cassandra, Redis, and high-throughput Key-Value stores
  • Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms
  • Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing
  • Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus
Job Responsibility
Job Responsibility
  • Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale
  • Revolutionize Storage & Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities
  • Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows
  • Lead Storage Modernization: Evolve our massive-scale persistence layers—including Docstore (Transactional Distributed Storage) and Distributed MySQL—to increase resiliency and reduce operational overhead
  • Open Source & Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto)
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Data

Patreon is looking for a Staff Software Engineer to support our mission. The Dat...
Location
Location
United States , San Francisco; New York
Salary
Salary:
246400.00 - 369600.00 USD / Year
patreon.com Logo
Patreon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in software development
  • At least 2+ years of experience in building scalable, production-grade data pipelines
  • Expert-level proficiency in SQL and distributed data processing tools like Spark, Flink, Kafka Streams, or similar
  • Strong programming foundations in Python or similar language, with good software engineering design patterns and principles (testing, CI/CD, monitoring)
  • Expert in modern data lakes (eg: Delta Lake, Iceberg)
  • Familiar with data warehouses (eg: Snowflake, Redshift, BigQuery) and production data stores such as relational (eg: MySQL, PostgreSQL), object (eg: S3), key-value (eg: DynamoDB) and message queues (eg: Kinesis, Kafka)
  • Excellent collaboration and communication skills
  • Understanding of data modeling and metric design principles
  • Passionate about data quality, system reliability, and empowering others through well-crafted data assets
  • Highly motivated self-starter who thrives in a collaborative, fast-paced environment and takes pride in high-craft, high-impact work
Job Responsibility
Job Responsibility
  • Design, build, and maintain the pipelines that power all data use cases
  • Develop intuitive, performant, and scalable data models (facts, dimensions, aggregations) that support product features, internal analytics, experimentation, and machine learning workloads
  • Implement robust batch and streaming pipelines using Spark, Python, and Airflow
  • Define and enforce standards for accuracy, completeness, lineage, and dependency management
  • Work with Product, Data Science, Infrastructure, Finance, Marketing, and Sales to turn ambiguous questions into well-scoped, high-impact data solutions
  • Pay down technical debt, improve automation, and drive best practices in data modeling, testing, and reliability
  • Mentor peers and help shape the future of Patreon’s data
What we offer
What we offer
  • Equity plans
  • Healthcare
  • Flexible time off
  • Company holidays and recharge days
  • Commuter benefits
  • Lifestyle stipends
  • Learning and development stipends
  • Patronage
  • Parental leave
  • 401k plan with matching
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Data Infrastructure

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
195400.00 - 275550.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with 3+ years focused on data engineering and analytics systems
  • Expert-level experience with Snowflake including advanced SQL, performance optimization, and cost management
  • Deep proficiency in DBT for data modeling, transformation, and testing with experience in large-scale implementations
  • Strong expertise with Apache Airflow for complex workflow orchestration and pipeline management
  • Hands-on experience with Sigma or similar modern BI platforms for self-service analytics
  • Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) and infrastructure management
  • Proficiency in Python, SQL, and other programming languages commonly used in data engineering
  • Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Proven track record designing and implementing large-scale distributed data systems
Job Responsibility
Job Responsibility
  • Define and drive the technical strategy for Docker's data platform architecture, establishing long-term vision for scalable data systems
  • Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma
  • Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem
  • Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices
  • Establish technical standards for data quality, testing, monitoring, and operational excellence
  • Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions
  • Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases
  • Develop and maintain sophisticated data orchestration workflows using Apache Airflow
  • Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability
  • Build data APIs and services that enable self-service analytics and integration with downstream systems
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Data Platform

Lead the design and development of core data storage, streaming, caching, and in...
Location
Location
United States , San Francisco; Seattle; New York
Salary
Salary:
248400.00 - 310500.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems
  • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)
  • Show a track record of mentoring and leading teams in successful projects
  • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders
  • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings
  • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems
  • Experience driving cross functional collaboration and communication at an organizational or broader level
Job Responsibility
Job Responsibility
  • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements
  • Collaborate with cross-functional teams to define, design, and deliver new features
  • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades
  • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies
  • Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity grant
  • commuter stipend
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Data Engineering

You'll own Gamma's data infrastructure and architecture as we scale to hundreds ...
Location
Location
United States , San Francisco
Salary
Salary:
230000.00 - 310000.00 USD / Year
gamma.app Logo
Gamma
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience as a data engineer or software engineer working on data infrastructure with deep expertise in distributed systems
  • Expert-level knowledge of event streaming platforms, especially Apache Kafka (producers, consumers, Kafka Connect, stream processing)
  • Extensive hands-on experience with Snowflake, including performance optimization, cost management, and data modeling at massive scale
  • Strong understanding of relational databases (particularly Postgres) and experience with CDC patterns and replication strategies in distributed environments
  • Proven track record architecting and leading major data infrastructure initiatives that handled orders of magnitude growth
  • Experience establishing data engineering best practices and driving technical strategy across organizations
  • Strong communication skills and experience influencing technical direction across engineering, analytics, and leadership
Job Responsibility
Job Responsibility
  • Own and evolve our end-to-end event pipeline architecture, from Kafka ingestion through Snowflake analytics, setting technical direction for data infrastructure
  • Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining world-class query performance
  • Lead initiatives to build and optimize CDC (change data capture) pipelines and streaming data transformations at massive scale
  • Establish best practices for data quality, pipeline reliability, and system observability across the organization
  • Drive strategic technical decisions about data modeling, infrastructure architecture, and technology choices
  • Mentor engineers and elevate data engineering practices across analytics, product, and engineering teams
What we offer
What we offer
  • competitive equity
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Data

At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R...
Location
Location
United States , New York City
Salary
Salary:
215000.00 - 250000.00 USD / Year
astronomer.io Logo
Astronomer
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on experience designing, developing, and scaling production infrastructure
  • Extensive knowledge of Postgres and Postgres-like cloud offerings (AWS, GCP, Azure)
  • Extensive and recent experience with building low-level data systems and/or managed data platforms
  • In-depth knowledge and practical experience of the product and technology space in Database and related fields (Blob, NoSQL, Timeseries, Graph, Vector)
  • Experience defining requirements and making and justifying technology choices around the data space
  • Strong experience in Non-Abstract Systems design and implementation
  • Strong proficiency in Golang and in-depth experience with Kubernetes
  • Strong communication skills, both written and verbal, with experience in working with a globally distributed team in delivery
Job Responsibility
Job Responsibility
  • Be a subject-matter expert in how we treat Data at scale
  • Recommend, design and later lead building the data systems that will help us continue to scale
  • Own and develop our Database and overall data strategy and practice
  • Be directly involved in decision-making on what we work on, as well as how we work on it
  • Make build vs. buy assessments, and advocate for the right tools for the right job when it comes to data
  • Create and maintain comprehensive internal documentation and decision records for systems and processes, ensuring clarity and accessibility
  • Participate in Architectural forums and discussion and make principled, open decisions
What we offer
What we offer
  • equity component
  • comprehensive benefits package
  • Fulltime
Read More
Arrow Right