Job Description

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 Stripe People Analytics team is looking for a data engineer with a
  passion for building scalable, secure, data foundations to join our
  team. Your mission will be to develop and provide data solutions
  necessary to enable people data scientists and analysts across Stripe
  to build a deeper understanding of Stripe’s workforce.

What you’ll do

• You will be responsible for the design, build, and deployment of
  structured data pipelines, storage, and model schemas to enable scaled
  self-service analytics.
• You will leverage modern performance tuning techniques, conceptual
  schemas, and modern technology to transform Stripe’s raw employee data
  into high-performing structured models that empower our internal
  customers to be data-driven.
• You will be accountable to identify, define, protect, and manage data
  from its raw form to its consumption and work collaboratively across
  product teams, data analysts, data scientists, and technology teams.

Responsibilities

• Identify data needs for the people team and people-focused teams
  across Stripe, understand specific requirements for metrics and
  analysis, and build efficient and scalable data pipelines to enable a
  science-driven people function
• Design, develop, and maintain critical database infrastructure, data
  sets, and pipelines
• Ensure data is stored safely and securely, conforming to frequently
  changing international regulations (e.g. GDPR) and best practices
  around people data storage and security
• Own critical data pipelines and manage the SLAs for those data
  pipelines, and constantly improve pipeline efficiency and data quality
• Facilitate data integration and transformation requirements for moving
  data between applications; ensuring interoperability of applications
  with database, data warehouse, and data mart environments
• Assist with the design and management of our technology stack used for
  data storage and processing
• Contribute to the development and education plans on data engineering
  capabilities, systems, standards, and processes

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

• 5+ years of experience in a Data Engineering role, with a focus on
  building scalable storage and schema layers
• Expertise in a programming language such as Python or Scala, and their
  respective standard data processing libraries
• Experience with writing and debugging data pipelines using a
  distributed data framework (Hadoop/Spark/Pig etc…)
• Strong experience in relational databases (AWS, RDS, Aurora), SQL,
  data warehouses, and ETL pipelines
• Experience in integrating data from core platforms into a centralized
  warehouse
• Rigor in high code quality, automated testing, and other engineering
  best practices
• Understanding and experience with building secure systems and access
  models for highly sensitive data
• The ability to communicate cross-functionally, derive requirements,
  and architect shared datasets
• Delight in building great tools that are a joy to use

Preferred qualifications

• Previous experience at a quickly-scaling or large company

Pay & Benefits

The annual US base salary range for this role is $147,400 – $199,400. 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 location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.