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Member of Technical Staff - Data

Job in Santa Monica, Los Angeles County, California, 90403, USA
Listing for: Favorited
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 145000 - 185000 USD Yearly USD 145000.00 185000.00 YEAR
Job Description & How to Apply Below

Job Title: Member of Technical Staff - Data
Location: Santa Monica, CA (On-site)
Employment Type: Full-time
Level: Senior
Company: favorited

About favorited

At favorited, we believe that digital communities should be more than just spaces to watch content. Our platform is a place to connect, engage, and play, and empowers creators by enhancing audience participation and fostering deeper connections.

Our work culture is intense and isn’t for everyone. But, if you’re a self-starter eager to shape the future of social interaction with a team that holds itself to the highest standards, this is the place for you. We value open, yet respectful communication and real-time feedback to help each other grow quickly. If you’re passionate about gaming and have a knack for gamifying everyday life, you’ll thrive in our fast-moving, collaborative environment.

About the Role

We’re looking for a Member of Technical Staff to build the data foundation that powers critical areas of favorited, including Trust & Safety, Fraud, and user, creator, and application analytics
.

This is a high-impact, 0-to-1 role for someone who has experience standing up data environments for live-service, consumer-focused products
. You’ll work closely with product and engineering teams to build the systems, infrastructure, and analytical capabilities needed to understand our users, creators, and platform—and make better decisions as we scale.

Responsibilities
  • Build and scale data infrastructure and environments from 0 → 1 to support a rapidly growing consumer product.

  • Develop data systems that support Trust & Safety, fraud detection, and user and creator analytics
    .

  • Create reliable data pipelines and foundational datasets that enable product, engineering, and operational decision-making.

  • Partner closely with product and engineering teams to understand business and technical requirements and translate them into scalable data solutions.

  • Support analytics across user behavior, creator engagement, application performance, and platform health
    .

  • Develop data capabilities that help identify suspicious behavior, abuse, fraud, and other Trust & Safety risks.

  • Establish strong standards for data quality, reliability, documentation, and accessibility
    .

  • Build systems that can evolve with a rapidly changing live-service consumer product and its growing data volume.

  • Identify opportunities to improve how teams access, understand, and act on data.

  • Work autonomously to identify high-impact problems, prioritize solutions, and drive projects from concept through implementation.

What We’re Looking For
  • 5+ years of experience working in data engineering, data infrastructure, analytics engineering, or a related technical role
    .

  • Proven experience building 0 → 1 data environments for consumer-facing products or internal teams.

  • Experience supporting live-service products with rapidly changing requirements and continuously evolving data.

  • Strong understanding of data pipelines, data modeling, data infrastructure, and analytics systems.

  • Experience partnering closely with product and engineering teams
    .

  • Strong ability to operate with a high degree of autonomy, ownership, and accountability
    .

  • Excellent organizational and problem-solving skills, with the ability to prioritize high-impact work in an ambiguous environment.

  • Strong communication skills and the ability to translate complex technical concepts for cross-functional partners.

  • A product-oriented mindset and curiosity about how users and creators interact with a platform
    .

Nice to Have:

  • Experience with
    Trust & Safety, fraud, risk, or abuse detection
    .

  • Experience working with gaming, social, live streaming, or other highly interactive consumer products.

  • Experience building data systems that support millions of users.

  • Familiarity with real-time…

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