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Backend Engineer, Data

ExperiencedNo visa sponsorship
Stripe logo

at Stripe

FinTech

Posted a month ago

No clicks

Backend Engineer, Data: Design, develop & maintain data pipelines, models & products. Collaborate with Product, Data Science & GTM teams to drive data-driven decisions. Utilize Scala, Spark, Airflow & SQL. 6+ yrs exp. in software engineering, data pipeline experience required. Preferred: Data Marts & Product/GTM team experience.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse 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 everyones reach while doing the most important work of your career.

About the team

The Data Foundations team drives Data Engineering and Data Apps & Tooling work across Stripe, enabling Stripes to leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and analyze data, both at rest and in motion. We are looking for talented data-minded software engineers to help us manage business-critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you.

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What youll do

Every record in our data warehouse is vitally important for the businesses that use Stripe, so were looking for people with a strong background in software engineering and data to help us scale while maintaining correct and complete data. Youll be working with a variety of internal teams across Product, Data Science, and GTM to help them solve their data needs. Your work will provide visibility into how these stakeholders and the Data Foundations organization are performing and how we can deliver a better experience to Stripe's customers.

Responsibilities

  • Design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions
  • Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support these critical stakeholders
  • Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable various teams at Stripe - working with Scala, Spark, and Airflow
  • Leverage LLM and Agents at scale to produce high-quality data on ambiguous problems
  • Refine our existing data marts that help the GTM organization forecast the future potential performance of the business and reliably measure ongoing attainment toward targets
  • Build data services that track key product metrics and measure the impact of different strategies employed by teams in the field
  • Our tech stack is Spark, Scala, Java, SQL, and Python - and while we dont expect everyone on the team to be an expert in all of these, you will work across all of these technologies throughout your tenure on the team

Who you are

Were 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

  • Must have 6+ years of experience in a Software Engineering role, with a focus on building and maintaining data services, or data-intensive applications.
  • A strong engineering background and are interested in data
  • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)
  • 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
  • The ability to communicate cross-functionally, derive requirements and architect shared datasets
  • A strong engineering background and an interest in data

Preferred requirements

  • Experience creating and maintaining Data Marts to power business reporting needs
  • Experience working with Product or GTM (Sales/Marketing) teams

Backend Engineer, Data

Compensation

Not specified

City: Not specified

Country: Not specified

Stripe logo
FinTech

a month ago

No clicks

at Stripe

ExperiencedNo visa sponsorship

Backend Engineer, Data: Design, develop & maintain data pipelines, models & products. Collaborate with Product, Data Science & GTM teams to drive data-driven decisions. Utilize Scala, Spark, Airflow & SQL. 6+ yrs exp. in software engineering, data pipeline experience required. Preferred: Data Marts & Product/GTM team experience.

Full Job Description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse 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 everyones reach while doing the most important work of your career.

About the team

The Data Foundations team drives Data Engineering and Data Apps & Tooling work across Stripe, enabling Stripes to leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and analyze data, both at rest and in motion. We are looking for talented data-minded software engineers to help us manage business-critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you.

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What youll do

Every record in our data warehouse is vitally important for the businesses that use Stripe, so were looking for people with a strong background in software engineering and data to help us scale while maintaining correct and complete data. Youll be working with a variety of internal teams across Product, Data Science, and GTM to help them solve their data needs. Your work will provide visibility into how these stakeholders and the Data Foundations organization are performing and how we can deliver a better experience to Stripe's customers.

Responsibilities

  • Design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions
  • Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support these critical stakeholders
  • Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable various teams at Stripe - working with Scala, Spark, and Airflow
  • Leverage LLM and Agents at scale to produce high-quality data on ambiguous problems
  • Refine our existing data marts that help the GTM organization forecast the future potential performance of the business and reliably measure ongoing attainment toward targets
  • Build data services that track key product metrics and measure the impact of different strategies employed by teams in the field
  • Our tech stack is Spark, Scala, Java, SQL, and Python - and while we dont expect everyone on the team to be an expert in all of these, you will work across all of these technologies throughout your tenure on the team

Who you are

Were 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

  • Must have 6+ years of experience in a Software Engineering role, with a focus on building and maintaining data services, or data-intensive applications.
  • A strong engineering background and are interested in data
  • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)
  • 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
  • The ability to communicate cross-functionally, derive requirements and architect shared datasets
  • A strong engineering background and an interest in data

Preferred requirements

  • Experience creating and maintaining Data Marts to power business reporting needs
  • Experience working with Product or GTM (Sales/Marketing) teams