200+ applicants

Company

Stripe · 6 hours ago

Software Engineer, Growth Data Engineering

United States

Full-time

Remote

Mid Level

$137K/yr - $245K/yr

3+ years exp

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FinanceFinTech

Comp. & Benefits

H1B Sponsor Likely

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Responsibilities

Identify data needs for Growth, Sales, and Marketing teams, understand their specific operational and reporting requirements, and build efficient and scalable data products & pipelines to enable data-driven decisions across Stripe

Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing teams

Help the Data Science team apply and generalize statistical and econometric models on large datasets to empower more intelligent decision making among our Growth & Go-to-Market teams

Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe

Build Stripe's Customer Engagement Data Service - collecting, curating, mastering, enriching, and presenting a single view of user interactions with Stripe for consumption by data applications across the company

Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow

Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces such as Stripe.com

Refine our existing data marts that help the Sales and Marketing organization at Stripe forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets

Build data pipelines that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field

Integrate different parts of our experimentation infrastructure at Stripe, to enable full-funnel measurement and personalization of experiences spanning from Stripe.com into product

Our stack spans tools in Spark, Scala, Python, SQL, Presto, Airflow, AWS, Java, Go, and React

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringBuilding data pipelinesDistributed data frameworksScalaPythonSQLJavaGoReactData quality resolution

Required

3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data.

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 scientific computing language (such as Scala or Python) and SQL

Experience with full stack development languages such as Java or Go, and front-end frameworks such as React

The ability to communicate cross-functionally, derive requirements and architect shared datasets

Benefits

Equity

Company bonus or sales commissions/bonuses

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Company

Stripe

Glassdoor

3.6

Stripe is an API technology company that provides online payment processing and commerce solutions for Internet businesses.

Founded in 2010

South San Francisco, California, USA

1001-5000 employees

https://stripe.com/in

H1B Sponsorship

Stripe has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (109)

2022 (300)

2021 (348)

2020 (121)