The Challenge
Uber needs bulletproof data infrastructure powering growth and marketing at massive scale. You'll architect the pipelines and systems that let PMs and marketers make faster, smarter decisions on billions of events daily.
Your Mission
Own and optimize one critical data pipeline end-to-end, reducing latency by 20%+ or improving data accuracy
Design and document the data model for a new marketing analytics use case with cross-functional stakeholders
Ship real-time or near-real-time data processing improvements using Spark/Flink
Establish code review standards and mentor one junior engineer on the team
Lead the architecture and launch of a new core data infrastructure component serving 3+ product teams
Reduce data quality incidents by 40% through automated validation and monitoring systems
Optimize query performance on your data warehouse by 30%+ through thoughtful data modeling
Document and operationalize runbooks for common data incidents and scaling scenarios
KPIs You'll Own
Pipeline Latency
Track P95 latency of critical data pipelines to ensure growth/marketing teams get insights in real-time.
Data Accuracy/Quality Score
Measure the percentage of correct, complete records flowing through your systems vs. total records.
Infrastructure Uptime
Monitor 99.9%+ availability of core data systems that power growth experiments and marketing decisions.
Query Performance
Track median query execution time on marketing analytics queries to keep stakeholders unblocked.
Tools & Stack
Your Team
Your Manager
Not specified
Current Team
Product Managers, Data Scientists, Data Platform Engineers, Marketing Operations team
New role or backfill not specified
The Package
Salary
$171K-$190K base
Variable
Eligible for bonus program
Equity
Equity award possible
Remote
On-site in San Francisco, CA
Benefits & Perks
Company Intelligence
Uber is a massive mobility and logistics platform operating at planetary scale. The Growth & Marketing Platform team builds the data infrastructure that powers acquisition, retention, and monetization decisions across all Uber products.
Is This Role For You?
- You've shipped real-time or near-real-time data systems and understand the tradeoffs between latency, correctness, and cost
- You're comfortable designing at scale (billions of events, terabytes of data) and can reason about distributed systems architecture
- You enjoy working cross-functionally with PMs and data scientists and can translate fuzzy requirements into clean technical solutions
- You're obsessed with data quality and have tracked down subtle bugs in production pipelines before
- You prefer hands-off roles-this requires deep technical leadership and mentoring
- You need flexibility on location; this is strict on-site in San Francisco
- You're early in your data engineering career (<4 years) or lack production Big Data framework experience
Interview Process
Phone/Video Screen
Conversation about your background in data engineering and relevant project experience
Technical Assessment
Design or coding exercise around data pipeline architecture, SQL optimization, or distributed systems
Onsite Interviews
Multiple rounds with data engineers, team leads, and cross-functional partners; architecture design deep dive
Offer & Close
Final discussion on compensation, equity, and start date
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About Growth Marketing roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.