R
Roblox
Senior Data Engineer (Growth Acquisition, Growth & Marketing Data)
Skills
Google Cloud PlatformSQL QueriesData EngineeringPythonData ScienceKafkaData AnalysisMachine LearningScalaAWSCRMPySparkApache AirflowAzure
19 days ago
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Important information
Contract type:
Permanent
Salary:
$243,290 – $295,250 / year
Location:
United States
Work mode:
Onsite
Published on:
7 October 2026
What they need
- As a Senior Data Engineer embedded in Growth Org, you will build the data foundation behind our marketing measurement and growth flywheel.
- That includes the pipelines and models that power Marketing Mix Modeling (MMM), multi-touch and incrementality-based attribution, and end-to-end funnel analytics from first touch to long-term retention.
- You will work side by side with Marketing, Data Science and Product, and you will report directly to the Engineering Director
- Design, build and operate reliable batch and streaming pipelines that unify paid, owned and organic marketing data (spend, impressions, installs, sessions, conversions) with in-platform user behavior
- Own the data foundation for MMM: build well-documented, versioned, analysis-ready datasets and backfills that Data Science can use to train, refresh and validate models on a regular cadence
- Partner with Marketing and Data Science to build attribution and funnel data products, and to define shared metrics (acquisition, activation, retention, reactivation, LTV) that the whole organization can trust
- Architect event taxonomies and logging standards for acquisition and lifecycle events, and influence client and server instrumentation across product surfaces
- Integrate with ad channel platforms, mobile measurement partners and other third-party sources, with strong attention to data quality, freshness, identity resolution and privacy-safe design
- Set standards for table design, data quality monitoring, observability, lineage and documentation used across the Growth and Marketing space
- Support experimentation and incrementality work (geo tests, holdouts, lift studies) by making experiment data easy to join to spend and outcomes
- Mentor other engineers, raise the bar on data practices, and collaborate with Data Engineering, Data Infrastructure and ML Platform teams to leverage shared tooling
- Work with partner teams across Roblox to make sure our measurement approach respects user privacy and safety and reflects our community-first values- A Strong Partner: you explain data trade-offs clearly to non-engineers and build trust with Marketing and Data Science
- User Oriented: you start with the needs of your customers, whether they are Roblox users or internal teams
- Team Oriented: you lift up your peers and find ways to make the team stronger
- Experience with orchestration tools (Airflow, Dagster or similar) and large-scale data processing (Spark, Flink, Kafka or similar), including multi-terabyte datasets
- A Technical Leader: you have initiated and led challenging technical solutions, and you nurture a culture of technical excellence
- Experience working directly with business and data science partners to turn ambiguous questions into durable data products
- Analytical: you enjoy digging into large, ambiguous problems and quantifying both the problem and the solution
- Strong data modeling skills: you have designed dimensional or event-based models that analysts and data scientists rely on every day
- 8+ years of industry experience as a data engineer or data-focused software engineer building scalable batch and streaming pipelines (SQL and Python, PySpark or Scala)
- Comfort with standard software practices: code review, CI/CD, testing and monitoring of data pipelines
- Experience with at least one major cloud platform (AWS, GCP or Azure) and modern warehouse or lakehouse technologies
- Hands-on exposure to marketing measurement: MMM (for example Robyn, Meridian, PyMC-Marketing or in-house models), attribution, incrementality or experimentation platforms
- Experience with data privacy constraints in measurement (consent, aggregation, clean rooms, differential privacy)
- Experience with marketing and ad data sources (ad platform APIs, mobile measurement partners, CRM or lifecycle tooling) and with identity resolution
- Experience in consumer products with a growth, ads, personalization or lifecycle focus
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