Staff Data Engineer (L6) - Ads

Netflix
Panama
Workplace: RemoteFull timeUSD 510,000 - 820,000 annuallyFunction: Software EngineeringExperience: 15+ yearsEducation: mastersSkills: ["Mentorship","Technical communication","Collaboration","Designing for measurable impact","Working with ambiguity"]

Design and set technical direction for Ads Data Engineering, shaping how ad data systems connect across domains like inventory, forecasting, targeting, ad serving, pacing, and measurement. Partner with data platform, data science, and product teams as a senior technical voice, resolve cross-domain design decisions, mentor engineers across the org, and help define AI-native data engineering for Ads while prioritizing data quality, privacy, and governance.

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FursaFursa
Netflix
Netflix
2 weeks ago

Staff Data Engineer (L6) - Ads

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Design and set technical direction for Ads Data Engineering, shaping how ad data systems connect across domains like inventory, forecasting, targeting, ad serving, pacing, and measurement. Partner with data platform, data science, and product teams as a senior technical voice, resolve cross-domain design decisions, mentor engineers across the org, and help define AI-native data engineering for Ads while prioritizing data quality, privacy, and governance.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Set technical direction and design coherence across the Ads Data Engineering org, connecting data domains end-to-end.
  • •Resolve cross-domain design decisions so teams converge on scalable approaches across the org.
  • •Partner with Ads DE leadership as a senior technical voice, bridging technical strategy with business priorities.
  • •Mentor and coach data engineers across the org, including adopting AI and emerging tools/technologies.
  • •Define what AI-native data engineering looks like for Ads as the function evolves, partnering with platform engineering, data science, and product.

Pay and Benefits

Salary: USD 510,000 - 820,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid Leave

Key Requirements

  • •15+ years building data-foundation, backend, or data engineering systems and setting technical direction for others.
  • •Hands-on experience in advertising or ad-tech data, comfortable across multiple domains.
  • •Experience driving trust and technical direction across organizational lines and delivering platform or data product migrations.
  • •Design data as a product with measurable impact, focusing on users, quality, and data privacy/governance built into systems.
  • •Experience with modern distributed data stacks (e.g., Spark, Kafka, and columnar stores) and mentoring engineers’ technical growth.
Experience:15+ yearsAd-techData engineeringBackendData platforms
Education:Master's in Computer Science (data focus)
Skills:MentorshipTechnical communicationCollaborationDesigning for measurable impactWorking with ambiguity
Tech Stack:SparkKafkaColumnar storesAIAgentic technologies

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
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