Backend Engineer, Data Lake

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 Data Lake team builds and operates Stripe's Data Lake, enabling high-scale data ingestion, unified storage, and data governance across services for all of Stripe.
We operate globally distributed systems at high levels of reliability to support Stripe's growing scalability, reliability, and product requirements.
We enable other teams at Stripe by creating simple abstractions and providing self-service tooling and dashboards to enable users to easily operate services on our infrastructure.
We minimize operational toil for the team through regular investment in automation of maintenance operations.
We're looking for people with a strong background (or interest)
in Data Lake architectures and who are excited about solving challenging distributed systems problems.
What you'll do
You'll work with other infrastructure engineers as well as the product engineers who use the systems we build.
We're looking for people interested in data.
We'd love to hear from you whether you're a seasoned software engineer, or whether you've just learned you might like working with data lakes .
Responsibilities
Design, build, and maintain Data Lake infrastructure – leveraging popular systems such as Hadoop, Spark, Iceberg, Temporal, and Amazon S3 – used by all of Stripe's engineering teams.
Work with various stakeholders at Stripe to understand their specific requirements and identify opportunities to better leverage our streaming infrastructure.
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.
Minimum requirements
Professional hands-on software development experience
Experience designing, building, maintaining and debugging distributed systems
Experience with scaling distributed systems in a rapidly moving environment
Experience building infrastructure as a product centered around users' needs
Preferred qualifications
Experience with Data Lake architecture
Experience working with open source technology such Hadoop, Spark, Iceberg or Amazon S3
Experience with orchestration platforms such as Cadence, Temporal or AWS Step Functions
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users.
This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
The annual salary range for this role in the primary location is €83,200 - €156,000.
This range may change if you are hired in another location.
For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location.
Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process.
Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
Office locations
Dublin HQ
Team
Data Platform
Job type
Full time
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