Data Engineer 

Job Description

Responsibilities

• A seasoned technologist with 12+ years building data-foundation, backend, or data engineering systems, someone other engineers naturally look to for direction.
• You’ve spent real time in advertising or ad-tech data, specifically in domains like Ads identity graph, measurement, targeting, and while your depth may run deepest in one domain, you’re comfortable moving across several.
• You’ve built trust and driven technical direction across organizational lines, not just within your own team, and you’ve done it in more than one company or role.
• You take data privacy and governance seriously, not as a checkbox, but as something you’ve actually built for.
• You’re a clear, thoughtful communicator who can translate technical nuance for engineers and business context for leaders, often in the same conversation.
• You’re comfortable with ambiguity, and just as comfortable helping a room of smart, opinionated engineers land on a shared answer.
• You genuinely enjoy helping other engineers grow, and see that as just as core to the job as your own technical output.

What will you do?

• Set technical direction and design coherence across the various orgs, connecting the dots between domains rather than optimizing just one.
• Weigh in on and help resolve cross-domain design decisions, helping teams converge on approaches that scale across the org, not just within a single team.
• Mentor and coach data engineers, helping them grow technically and adopt AI and emerging tools and technologies.
• Build strong partnerships with senior engineers on our data platform and D&I teams, contributing to and shaping horizontal and platform-wide efforts.

What (ideally) do you know?

• Modern data stacks end-to-end: ingestion, processing, storage, and serving.
• Ad-tech systems and data flows, ideally with direct exposure to at least 2 domains across measurement, attribution, identity , audience, targeting 
• Large-scale distributed data systems such as Spark, Kafka, or columnar stores.
• The latest in AI and agentic technologies as they apply to data engineering.
• A graduate degree in Computer Science with a data focus is a plus, as is experience formally mentoring engineers on their technical growth.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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