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Data Engineer

Our co-founders started Zip in 2020 to address this seemingly intractable problem with a purpose-built platform that provides a simple, consumer-grade user experience. Within just a few short years, Zip created the procurement orchestration category and developed the leading solution in this $50B+ TAM space. Today, leading companies like Instacart, Anthropic, Sephora, Discover, Reddit, and Lyft rely on Zip to manage billions of dollars in spend.

We're a fast-growing team that helped scale category-defining companies like Airbnb, Meta, Salesforce, Databricks, Apple, Google, and Ramp. With a $2.2 billion valuation and $370 million in funding from Y Combinator, BOND, DST Global, and CRV, we’re focused on developing cutting-edge technology, expanding into new global markets, and—above all–driving incredible value for our customers. Join us!

Your Role

We're seeking an experienced Data Engineer to join our data engineering team. In this role, you will build and drive adoption of self-serve tools for product analytics, grow and advance our data ingestion and warehousing pipelines, and develop customer-facing products such as embedded analytics and warehouse sharing.

You Will

  • Design business-critical data models that would be used to power business decisions. Ensure data quality, consistency, and accuracy.

  • Design, build, and maintain scalable, robust and reliable data pipelines for internal stakeholders and customers.

  • Deliver data products that our customers can use, including data warehouse sharing and embedded analytics.

  • Help develop a mature product analytics capability within the company and empower data-driven decisions.

  • Contribute to the broader Data Analytics community at Zip to influence tooling and standards to improve culture and productivity.

Qualifications

  • 2+ years of industry experience writing software for data engineering.

  • Experience with data processing technologies and frameworks, such as Airflow, luigi, dbt etc.

  • Experience with data warehousing technologies such as Snowflake, Clickhouse, Redshift etc.

  • Ability to effectively communicate complex projects to non-technical stakeholders.

  • Bachelor’s and/or Master’s degree, preferably in CS or engineering fields, or equivalent experience

Nice to Haves

  • Experience with analytics tools such as Superset and Looker.

  • Experience with deploying data systems on AWS and Kubernetes.

The salary range for this role is $150,000 - $200,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.

Perks & Benefits

At Zip, we’re committed to providing our employees with everything they need to do their best work.

  • 📈 Start-up equity

  • 🦷 Full health, vision & dental coverage

  • 🍽️ Catered lunches & dinners for SF employees

  • 🚍 Commuter benefit

  • 🚠 Team building events & happy hours

  • 🌴 Flexible PTO

  • 💻 Apple equipment plus home office budget

  • 💸 401k plan

We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!

Average salary estimate

$175000 / YEARLY (est.)
min
max
$150000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, Zip

Join the dynamic team at Zip as a Data Engineer in San Francisco, where innovation meets opportunity! Since our inception in 2020, we've skyrocketed to fame by creating a unique platform that addresses complex procurement challenges with simplicity and accessibility. As a Data Engineer, you'll play a pivotal role in shaping our data ecosystem, driving the development of self-serve tools for product analytics, and ensuring our data pipelines are powerful and reliable. Picture yourself designing crucial data models that inform strategic business decisions, while maintaining the quality and accuracy of data that fuels our success. You'll collaborate with internal stakeholders to enhance our analytics capabilities and contribute significantly to our vibrant data community. If you’re keen to leverage your experience with data processing technologies and warehousing solutions, and make meaningful impacts within a fast-growing company, we’d love for you to bring your expertise to Zip. With a competitive salary, comprehensive benefits, and a passion for driving innovation, this is your chance to thrive in a workplace that values ownership, open communication, and diversity. Dive into your next career adventure at Zip and help us deliver outstanding value to customers while enjoying a fulfilling work-life balance with our fantastic perks and support.

Frequently Asked Questions (FAQs) for Data Engineer Role at Zip
What are the responsibilities of a Data Engineer at Zip?

As a Data Engineer at Zip, you'll be responsible for designing and maintaining scalable, reliable data pipelines, creating robust data models that aid in business decisions, and directly contributing to the development of customer-facing products like embedded analytics and data warehouse sharing. Your role will involve collaborating with teams to ensure data quality and drive analytics capabilities across the organization.

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What qualifications do I need to become a Data Engineer at Zip?

To qualify for the Data Engineer position at Zip, you should have at least 2 years of experience in data engineering, proficient knowledge of data processing frameworks such as Airflow and dbt, and familiarity with data warehousing technologies like Snowflake or Redshift. A degree in Computer Science or Engineering is preferred, alongside the ability to communicate complex technical projects to non-technical audiences.

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What tools and technologies should a Data Engineer at Zip be familiar with?

Data Engineers at Zip should be well-versed in data processing technologies and frameworks such as Airflow and luigi, along with strong experience in data warehousing solutions like Snowflake, Clickhouse, and Redshift. Familiarity with analytics tools such as Superset or Looker, as well as deployment on AWS and Kubernetes, is also a valuable asset.

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What is the salary range for the Data Engineer position at Zip?

The salary for the Data Engineer role at Zip ranges from $150,000 to $200,000, reflecting various job-related factors such as location, experience, education, and specialized skills. It's an attractive package designed to recognize your expertise and contribution to our growing company.

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What kind of work environment can a Data Engineer expect at Zip?

At Zip, Data Engineers can look forward to a collaborative and inclusive work environment that values innovation and individual contributions. With perks like flexible PTO, catered meals, and a commitment to diversity, Zip seeks to create a space where every employee can thrive and engage in team-building activities.

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Common Interview Questions for Data Engineer
Can you explain your experience with data processing frameworks as a Data Engineer?

Be prepared to discuss specific frameworks you've used, such as Airflow or Luigi. Detail how you've implemented these tools in past projects to enhance data workflows, ensuring to mention your approach to overcoming challenges in those implementations.

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How do you ensure data quality and accuracy in your projects?

Provide examples of your data validation processes, such as writing unit tests for your data models, usage of automated data quality tools, and methods you've employed to correct errors. Highlight your systematic approaches to maintain data integrity.

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What is your experience with creating data models?

Discuss specific business-critical data models you’ve built, illustrating the challenges faced and how they supported business decisions. Mention the tools and methodologies you used and how you collaborated with stakeholders during this process.

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How have you collaborated with non-technical stakeholders in previous roles?

Explain a situation where you effectively communicated complex technical subjects to non-technical audiences, emphasizing the methods you used to convey important project details simply and effectively, ensuring they understood the impact on their objectives.

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What data warehousing solutions have you worked with, and what were your key learnings?

Highlight the data warehousing technologies you’re experienced with and share specific projects where you leveraged those solutions. Discuss the insights gained from these experiences and how they shaped your understanding of best practices in data warehousing.

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Can you describe a challenging data pipeline you’ve built?

Share a specific example of a complex data pipeline, outlining the challenges you encountered and how you addressed them. Focus on the architecture, technologies used, and the eventual success of the project in meeting business needs.

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What strategies do you use to stay current with data engineering trends?

Mention your commitment to continuous learning by engaging with online courses, attending conferences, or participating in communities. Specific examples of recent topics or technologies you’ve explored can showcase your proactivity in your professional development.

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How would you approach building a self-serve analytics tool?

Describe your strategy starting from understanding user needs through to designing the tool. Discuss components like UX design, data access, dashboard features, and how you would gather feedback for continuous improvement after launch.

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What do you think is the future of data engineering?

Engage in a discussion about emerging trends like real-time analytics, ML integration, and automation in data engineering. Share your perspective on how these trends might evolve and impact the industry, showcasing your ability to think critically about future developments.

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Why do you want to work at Zip as a Data Engineer?

Highlight your enthusiasm for working at Zip and how our mission and values resonate with you. Discuss specific aspects of the company and position that appeal to you, and how you see your skills making a meaningful contribution to the team's success.

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Zip is a leading global financial services company, offering innovative, people-centred products that bring customers and merchants together. On a mission to be the first payment choice everywhere and every day, Zip offers point-of-sale credit and...

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Full-time, on-site
DATE POSTED
March 1, 2025

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