Senior Manager, Software Development Engineering, Big Data

Zillow Group

Remote
Base: $206,700.00 - $330,300.00 annually (specific...
Hybrid
Petabyte-scale clickstream data
Engagement and top-of-funnel data products
Sql, python, spark expertise
Own the strategy for engagement and top-of-funnel data products (clickstream, SEO, retention, and lifecycle marketing) and partner with Data Science, AI/ML, and Product leaders to identify gaps and deliver end-to-end solutions

Job Summary

  • Own the strategy for engagement and top-of-funnel data products (clickstream, SEO, retention, and lifecycle marketing) and partner with Data Science, AI/ML, and Product leaders to identify gaps and deliver end-to-end solutions.
  • Manage and grow a team of engineers, aligning them around measurable outcomes, and prioritizing team health by balancing new product work with platform stability and ongoing operational work to prevent burnout.
  • Foster an inclusive, psychologically safe environment where engineers feel supported, challenged, and respected, mentoring talent through proactive career coaching and individual development plans.

Matching Summary

Own the strategy for engagement and top-of-funnel data products (clickstream, SEO, retention, and lifecycle marketing) and partner with Data Science, AI/ML, and Product leaders to identify gaps and deliver end-to-end solutions.

Salary

Base: $206,700.00 - $330,300.00 annually (specific locations); Equity awards based on factors such as experience, performance and location; Not specified

Skills & Requirements

Must-have

  • petabyte-scale clickstream data
  • engagement and top-of-funnel data products
  • SQL, Python, Spark expertise
  • modern data platforms and orchestration tools
  • cross-functional stakeholder partnership
  • leading data engineering teams

Nice-to-have

  • building data products for experimentation
  • marketing measurement or growth analytics
  • familiarity with dbt or semantic/metrics layers
  • leading distributed or hybrid teams
  • working effectively across time zones

Key Requirements

  • BS+ in Computer Science or related field
  • 8+ years in data or software engineering
  • 4+ years managing engineers
  • Proven track record of building and scaling teams/products
  • Experience designing and operating pipelines over billions of events and petabyte-scale datasets
  • Strong hands-on experience with SQL, Python, Spark
  • Experience with modern data platforms and orchestration tools
  • Demonstrated ability to partner with cross-functional stakeholders
  • Exceptional verbal and written communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter