Senior Data Engineer

X4 Engineering; Palo Alto (CA); Hybrid; USD 150,000 - 220,000; Full time

Benefits offered by this job

Comprehensive health coverage

Flexible time off

Strong parental support

Wellness benefits

Total rewards package

Job summary

X4 Engineering in the Bay Area is seeking a senior data engineer to own the platform's core data infrastructure. You will design, build, and operate production pipelines on GCP, mentor peers, and raise the bar for data craftsmanship across the team.

You’ll work with Dataform, BigQuery, Dataflow, and Pub/Sub, optimizing for performance and cost while partnering with analytics to translate data into actionable business insights that drive product decisions.

Qualifications

• 4+ years in data engineering with production code responsibilities.
• Hands-on with GCP data services and modern data stack.
• Experience with CI/CD for data pipelines.

Responsibilities

• Build production-grade data pipelines on GCP and ensure cost efficiency.
• Ensure data quality testing and end-to-end reliability.
• Model complex data structures with cross-functional teams.
• Create reusable data components and libraries.
• Review code and mentor engineers to raise skill levels.
• Document architecture decisions and data infrastructure.

Skills

Data engineering

GCP

Python

SQL

TypeScript

Tools

BigQuery

Dataform

Dataflow

Pub/Sub

Job description

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

• ML / data science exposure
• 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.