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Senior Data Engineer
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$127,645 / year median in California
+3% projected growth
Job Description
Senior Data Engineer at X4 Engineering Senior Data Engineer at X4 Engineering in Atherton, California Posted in about 12 hours ago.
Type:
full-time The Company A fast-growing consumer marketplace platform with tens of millions of downloads, hundreds of thousands of new listings a day.
Built on one idea:
selling should be as easy as buying. The Role A senior, hands-on data engineering role on the team that owns the platform's core data infrastructure. You'll design, build, and run production pipelines on modern GCP tooling, not just write code for someone else to operate while mentoring the engineers around you and raising the bar on how the team builds data systems. What You'll Work On Production-grade data pipelines on GCP (Dataform, BigQuery, Airflow)
- built for scale, tuned for cost Data quality testing and reliability across the pipeline, end to end Complex data models built in partnership with cross-functional data teams Reusable data components and shared libraries other engineers build on Mentorship and code review
- genuinely raising the level of engineers around you Technical documentation and architecture decisions that shape how the platform's data gets built What We're Looking For 4+ years in data engineering, still writing production code today Not removed into pure architecture or management Real, applied experience with GCP data services
- BigQuery, Dataform, Dataflow, Pub/Sub (or the equivalent on AWS/Azure) CI/CD for data pipelines you've built and maintained, not just used Data modeling and ETL processes owned from design through production Comfortable optimizing for performance
- and• cost, not just correctness Python, SQL, or TypeScript A strong grasp of how data actually drives business decisions•not just how to move it Bonus Points BI dashboard development (Looker, Power BI, Tableau) ML / data science exposure AI automation experience Data & AI governance experience Why Join Ownership of infrastructure that's genuinely load-bearing for the business A team that mentors and gets mentored•not a silo A modern data stack, real scale, real constraints Career growth that moves as fast as the team does
Location:
Bay Area
- 2 days/week in-office
Salary:
$150,000
- 220,000 + bonus
Benefits:
Comprehensive health coverage, flexible time off, strong parental support, wellness benefits, and a total rewards package built to go beyond the paycheck.