Data Engineer, L6 – Ads, Signals and Measurement

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the Ads Signals & Measurement team, focusing on conversion and attribution, measurement data foundations, and audience onboarding and identity.

• Develop data and attribution capabilities that link advertising exposure to tangible outcomes.

• Establish data foundations for first-party measurement solutions that encompass the entire funnel, including incrementality, lift, experimentation, and third-party measurement studies.

• Facilitate audience onboarding, identity resolution, and the generation of rich signals for audience and targeting solutions.

• Integrate signals, identity, measurement, attribution, and optimization into a unified data ecosystem.

• Define technical direction and ensure design consistency across various organizations.

• Address cross-domain design decisions and assist teams in converging on scalable solutions.

• Mentor and coach data engineers, guiding them in the adoption of AI and emerging tools and technologies.

• Collaborate with senior engineers on data platform and Diversity & Inclusion teams.

• Contribute to and influence horizontal and platform-wide initiatives.

⛳️ Requirements

• Over 12 years of experience in building data foundations, backend systems, or data engineering systems.

• Background in advertising or ad-tech data, particularly in areas such as Ads identity graph, measurement, and targeting.

• Proficient in navigating multiple ad-tech domains.

• Proven ability to build trust and steer technical direction across organizational boundaries.

• Experience in achieving this across multiple companies or roles.

• Skilled in creating data privacy and governance systems.

• Strong communication skills for articulating technical nuances and business context clearly.

• Ability to thrive in ambiguity and assist engineers in reaching consensus on decisions.

• Experience in fostering growth and development in fellow engineers.

• Familiarity with modern data stacks from end to end: ingestion, processing, storage, and serving.

• Understanding of ad-tech systems and data flows, ideally with practical exposure to at least two domains such as measurement, attribution, identity, audience, and targeting.

• Knowledge of large-scale distributed data systems like Spark, Kafka, or columnar storage solutions.

• Insight into AI and agentic technologies as they pertain to data engineering.

• A graduate degree in Computer Science with a focus on data is advantageous.

• Experience in formally mentoring engineers regarding their technical development is a plus.

🏝️ Benefits

• Comprehensive health plans.

• Mental health support.

• 401(k) retirement plan with employer match.

• Stock option program.

• Disability programs.

• Health Savings Accounts.

• Flexible Spending Accounts.

• Family-forming benefits.

• Life and Serious Injury Benefits.

• Paid leave of absence programs.

• Full-time hourly employees earn 35 days annually for paid time off, covering vacation, holidays, and sick leave.

• Full-time salaried employees are immediately eligible for flexible time off.