Software Engineer, Data Quality Tools
Canada, Chicago, Remote in the US
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 Quality Team is a critical component of our organization. We ensure the integrity, accuracy, and reliability of our data, enabling it to drive smart decision-making, foster innovation, and guide strategic initiatives. Our team develops and implements robust Data Quality solutions, making data validation, cleansing, and monitoring an efficient and effective process across all Data Assets.
In addition, we:
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Deploy comprehensive Data Quality frameworks and tools to maintain the accuracy, completeness, consistency, and timeliness of our Data Assets.
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Implement automated data quality checks and monitoring systems to proactively identify and address data issues.
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Develop and maintain data quality metrics and dashboards to provide visibility into the health of our data ecosystem.
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Collaborate with cross-functional teams to establish and enforce data quality standards and best practices.
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Design and implement data cleansing and enrichment processes to enhance the overall quality of our data.
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Provide support and guidance to data consumers, ensuring they can confidently rely on high-quality data for their analyses and decision-making.
What you’ll do
We’re looking for engineers with a strong background or interest in building successful platforms, systems and data pipelines; you’re passionate about data, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. As a Software Engineer, you’ll be empowered to make decisions and build solutions with a significant impact on Stripe while making our systems a delight to use.
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
- 2-5 years of professional experience writing high quality production level code
- Finds joy in designing and implementing data-intensive applications
- Has a knack for creative problem-solving, designing, and delivering effective solutions for our users
- Enjoys different facets of product development, from architectural design and planning to conducting user interviews and writing code
Preferred qualifications
- Is versed in various software languages and frameworks, such as Ruby, Typescript, Scala, Java, React, GraphQL, Mongo, Airflow, Spark, Kafka, Flink, Iceberg, Splunk, and Grafana
- Experience developing, maintaining and debugging distributed systems
- Able to reason clearly and move with urgency in a fast-paced, ambiguous environment
- Experience with data quality tools (e.g. Deequ, Soda, Great Expectations), with proven ability to implement and optimize these in large-scale environments
- Familiarity with machine learning concepts, especially as applied to data quality
Hybrid work at Stripe
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
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.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.
Pay and benefits
The annual US base salary range for this role is $136,800 - $205,200. 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.
We look forward to hearing from you
At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. ApplyJob Profile
Hybrid work Hybrid work at Stripe Must be within 35+ miles of a Stripe office for office-assigned roles
Benefits/PerksCollaborative environment Company bonus Company bonus or sales commissions Company bonus or sales commissions/bonuses Equity Hybrid work Learning opportunities Medical, dental, and vision benefits Vision Benefits Wellness stipends
Tasks- Collaborate on data standards
- Design data cleansing processes
- Develop data quality solutions
- Implement automated data checks
- Support data consumers
Airflow Best Practices Business Collaboration Data cleansing Data Monitoring Data Pipelines Data Quality Data quality tools Data Validation Debugging Deequ Design Distributed Systems Financial Infrastructure Flink Grafana GraphQL Great expectations Iceberg Infrastructure Java Kafka Machine Learning Mongo Organization Payments Problem-solving Product Development Quality Standards React Reliability Ruby Sales Scala Soda Software Engineering Spark Splunk Typescript User Interviews
Experience2-5 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Edmonton America/Los_Angeles America/Moncton America/New_York America/Regina America/St_Johns America/Toronto America/Vancouver Pacific/Honolulu UTC-10 UTC-3 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9