# Staff Software Engineer, Data Engineering Solutions

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Seattle, WA
**Role:** Data Engineering
**Experience:** 10+ years
**Skills:** Airflow, Spark, Kafka, Flink, Iceberg, Scala, Java, Go, SQL, AWS, Trino, Pinot, Hive Metastore, Change Data Capture
**Posted:** 2026-06-17

> Lead technical outcomes and mentor engineers on the Data Engineering Solutions team. Build and operate large-scale data pipelines, warehouses, and infrastructure using Airflow, Spark, Kafka, Flink, and related tools.

## Job Description

## Responsibilities
- Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success
- Partner with our recruiting team to attract and hire top talent
- Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency
- Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders
- Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data
- Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
- Drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team

## Requirements
- 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions
- Strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework
- Inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
- Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
- Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs
- Thrive with high autonomy and responsibility in an ambiguous environment
- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment

## Nice-to-Haves
- Experience with Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud
- Influencing open-source contributions
- Experience creating and maintaining data marts / warehouses to power business reporting needs
- Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams
- Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions
- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide

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**Canonical:** https://hotfix.jobs/jobs/ab9438de-53cc-42a4-a931-b2bb919a1085