Senior Data Engineer, Growth Acquisition (Growth & Marketing Data)

Roblox•San Mateo, CA

4d•$243,290 - $295,250•Onsite

About The Position

The User Life Cycle team at Roblox is responsible for how people discover, become active, and stay engaged with the platform over time. Growth and Marketing are critical to this journey, and high-quality data is essential for making informed decisions about channel investments, campaign effectiveness, and identifying areas of user drop-off. As a Senior Data Engineer embedded within the Growth Organization, you will be instrumental in building the data infrastructure that supports marketing measurement and the growth flywheel. This includes developing the pipelines and models necessary for Marketing Mix Modeling (MMM), multi-touch and incrementality-based attribution, and comprehensive funnel analytics from initial user contact to long-term retention. You will collaborate closely with Marketing, Data Science, and Product teams, reporting directly to the Engineering Director.

Requirements

8+ years of industry experience as a data engineer or data-focused software engineer.
Proven experience building scalable batch and streaming pipelines using SQL and Python, PySpark, or Scala.
Experience with orchestration tools like Airflow, Dagster, or similar.
Experience with large-scale data processing technologies such as Spark, Flink, or Kafka, handling multi-terabyte datasets.
Strong data modeling skills, including the design of dimensional or event-based models used by analysts and data scientists.
Experience working directly with business and data science partners to transform ambiguous questions into robust data products.
Experience with at least one major cloud platform (AWS, GCP, or Azure) and modern warehouse or lakehouse technologies.
Proficiency in standard software development practices, including code review, CI/CD, and testing/monitoring of data pipelines.

Nice To Haves

Hands-on experience with marketing measurement, including MMM (e.g., Robyn, Meridian, PyMC-Marketing, or in-house models), attribution, incrementality, or experimentation platforms.
Experience with marketing and ad data sources (ad platform APIs, mobile measurement partners, CRM or lifecycle tooling) and identity resolution.
Familiarity with data privacy constraints in measurement (e.g., consent, aggregation, clean rooms, differential privacy).
Experience in consumer products with a focus on growth, ads, personalization, or lifecycle management.

Responsibilities

Design, build, and operate reliable batch and streaming pipelines that integrate paid, owned, and organic marketing data (spend, impressions, installs, sessions, conversions) with in-platform user behavior.
Own the data foundation for Marketing Mix Modeling (MMM), creating well-documented, versioned, and analysis-ready datasets and backfills for Data Science to use in training, refreshing, and validating models regularly.
Partner with Marketing and Data Science to develop attribution and funnel data products, and to establish shared metrics (acquisition, activation, retention, reactivation, LTV) that the entire organization can trust.
Architect event taxonomies and logging standards for acquisition and lifecycle events, influencing client and server instrumentation across product surfaces.
Integrate with ad channel platforms, mobile measurement partners, and other third-party data sources, ensuring high data quality, freshness, accurate identity resolution, and privacy-safe design.
Establish standards for table design, data quality monitoring, observability, lineage, and documentation within the Growth and Marketing domain.
Support experimentation and incrementality initiatives (e.g., geo tests, holdouts, lift studies) by ensuring experiment data is easily joinable with spend and outcome data.
Mentor other engineers, elevate data practices across the team, and collaborate with Data Engineering, Data Infrastructure, and ML Platform teams to leverage shared tooling.
Collaborate with partner teams across Roblox to ensure measurement approaches respect user privacy and safety, aligning with community-first values.