Staff Software Engineer, Data Engineering Solutions

EngineersOfAI; Seattle (WA); On-site; USD 130,000 - 170,000; Full time

Job summary

EngineersOfAI is looking for a Staff-level Data Engineering Solutions lead to drive data initiatives and manage high-impact projects. The ideal candidate will have significant experience in building and operating data systems with a strong foundation in the latest technologies.

This position emphasizes mentorship within a talented team and collaboration across departments to ensure the reliability and effectiveness of data solutions. Successful candidates will value customer focus and possess a dedication to maintaining high standards of inclusivity and innovation in the workplace.

Qualifications

• 10+ years of experience in building and operating data systems and pipelines.
• Strong engineering background and experience with debugging data pipelines.
• Inquisitive nature to identify and resolve data inconsistencies.
• Extreme customer focus and collaborative skills.

Responsibilities

• Lead technical outcomes for a team, mentoring and guiding engineers.
• Collaborate with recruiting to attract top talent.
• Deliver efficient, reliable data pipelines.
• Manage SLAs of data pipelines supporting critical stakeholders.
• Collaborate to improve datasets and data warehouses.
• Leverage AI/LLM and Agents to analyze data.
• Oversee development lifecycle from planning to delivery.
• Promote a collaborative, inclusive work environment.

Skills

Data pipeline development

Airflow

Spark

Kafka

Flink

SQL

Tools

Distributed data framework

Backend languages (Scala, Java, Go)

Job description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative AI tools/platforms/services for data.

What you’ll do

We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.

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
• Have the opportunity to 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

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions
• A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework
• An 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