Staff Data Engineer, Data Platform, BI Connectors
Poland
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.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
The Business Intelligence (BI) Connectors team supports the data platform infrastructure for importing and exporting data from external software-as-a-service products used by internal business teams (people operations, finance, marketing, and sales). This functionality is required to support critical data workflows within Stripe. The team is remote and distributed across Europe.
What you’ll do
You will be a key contributor to the next evolution of our platform: moving from a legacy ETL tool to Stripe’s powerful real time and batch processing infrastructure. As a Staff Engineer, you’ll be empowered to make decisions with a significant impact on Stripe and help guide our investments and strategy while making our systems reliable, secure, and a delight to use. There is much work to do to make Stripe engineers’ data capabilities even more reliable and usable than they are today. We’re close to the internal stakeholders using our systems and regularly get feedback to make their experiences better.
We’re looking for people with a strong background and demonstrated leadership in data platform technologies, ideally within the offline processing space. Staff Engineers at Stripe are empowered to operate autonomously and are counted on to help drive Stripe forward.
Responsibilities
- Scope and lead large technical projects with meaningful impact for business teams within Stripe
- Build and maintain the infrastructure which powers the core of Stripe.
- Scrutinize and reason clearly about the technology and architecture choices we make in building these products. In many cases, you will be the decision maker.
- Directly contribute to architecture and write code. Serve as a role model for how well software should be written for Stripe as a whole.
- Arbitrate critical decisions correctly that fully consider software best practices, Stripe system realities, and numerous stakeholders’ preferences and concerns.
- Advise Stripe’s leadership team on key technical considerations related to importing and exporting data from external SaaS products with Stripe’s internal data platform.
- Work effectively cross functionally.
- Teach and mentor the next generation of technical leaders at Stripe
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
- Have a strong technical background with 8+ years of experience with data platforms and API integrations
- Have experience with Apache Airflow, Flink, Spark, AWS AppFlow Custom Connectors, or similar tools
- Have served as the technical lead for a team of engineers and can demonstrate broad technical leadership.
- Listen well and internalize the best ideas from all over the organization while also setting a vision that others are excited to get behind.
- Work well cross-functionally and your co-workers at all levels and across all teams trust you.
Preferred qualifications
- Have been a Staff, Principal, or Distinguished Engineer at a top tier company.
- Have owned the technical roadmap for a business area.
- Are often cited as the inspiration for engineers that join your teams. Even senior engineers feel that they’re able to learn from you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS Business Intelligence ETL Finance Flink Spark
Perks/benefits: Career development
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