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Senior/Staff Software Engineer, Data

The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses.

Our cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world’s leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend.

We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, 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 Senior/Staff Software Engineer, Data to join our Data 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

  • 5+ years of industry software development experience within the Data domain

  • 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 - $220,000. 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

$185000 / YEARLY (est.)
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$150000K
$220000K

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What You Should Know About Senior/Staff Software Engineer, Data, Zip

At Zip, we're on a mission to simplify procurement in a complex world, and we're seeking a talented Senior/Staff Software Engineer, Data to join our Data team in San Francisco. In this role, you'll be driving the development of robust tools for product analytics and enhancing our data ingestion and warehousing pipelines. You'll be instrumental in creating customer-facing products, including embedded analytics and warehouse sharing solutions that empower our clients' decision-making processes. Your expertise will help design critical data models that ensure data quality and consistency, while also enabling data-driven decisions within our organization. With a vibrant team comprised of alumni from industry giants, you will play a key role in fostering a mature product analytics capability that influences our Data Analytics community. Zip is growing rapidly in the $50B+ TAM space, and we have the resources, like $370 million in funding and partnerships with leading companies, to support your initiatives. Join us and bring your experience of over 5 years in the Data domain, focusing on innovative technologies like Airflow and Snowflake, while also contributing to an engaging and inclusive company culture. Let's create powerful tools together and redefine the procurement landscape!

Frequently Asked Questions (FAQs) for Senior/Staff Software Engineer, Data Role at Zip
What are the primary responsibilities of a Senior/Staff Software Engineer, Data at Zip?

As a Senior/Staff Software Engineer, Data at Zip, you'll be responsible for designing and developing scalable data pipelines, ensuring data quality and accuracy, building embedded analytics products, and contributing to our product analytics framework. Your role directly influences business decisions and customer experiences, allowing you to leverage your expertise to create valuable tools for both internal teams and external stakeholders.

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What qualifications are required for the Senior/Staff Software Engineer, Data position at Zip?

Candidates applying for the Senior/Staff Software Engineer, Data position at Zip should ideally have over 5 years of industry experience in data software development, with proficiency in data processing technologies such as Airflow and data warehousing solutions like Snowflake. A Bachelor’s or Master’s degree in Computer Science or a related field is preferred, although equivalent experience will also be considered.

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What technologies should a candidate be familiar with for the Senior/Staff Software Engineer, Data role at Zip?

Candidates for the Senior/Staff Software Engineer, Data position at Zip should be comfortable with data processing frameworks like Apache Airflow, data warehousing technologies such as Snowflake or Redshift, and should have experience with analytics tools like Looker. Familiarity with AWS and Kubernetes is a plus. Your technical expertise will be vital to delivering high-quality data products.

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What is the salary range for the Senior/Staff Software Engineer, Data position at Zip?

The salary range for the Senior/Staff Software Engineer, Data position at Zip is between $150,000 - $220,000. Zip sets compensation based on various factors including location, relevant experience, education, and technical skills, allowing us to attract top talent while ensuring competitive pay.

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What are the benefits of working as a Senior/Staff Software Engineer, Data at Zip?

At Zip, Senior/Staff Software Engineers, Data enjoy a plethora of benefits including startup equity, full health, vision, and dental coverage, catered lunches in San Francisco, flexible PTO, and a home office budget. We believe in fostering a supportive environment that allows our employees to thrive both personally and professionally.

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Common Interview Questions for Senior/Staff Software Engineer, Data
Can you explain your experience with data pipeline development?

When answering this question, focus on specific projects where you developed data pipelines. Discuss the technologies you used, the challenges you faced, and how you ensured data integrity and efficiency throughout the process.

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

Talk about the methodologies you employ for data validation and verification. Explain your process for tracking data consistency and any tools you utilize to monitor data quality within your systems.

Join Rise to see the full answer
Describe a situation where you had to communicate complex technical information to a non-technical team.

Share an example that demonstrates your ability to translate technical jargon into layman’s terms. Highlight the importance of clear communication in fostering collaboration and alignment among team members.

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What experience do you have with analytics tools? How have you utilized them in past roles?

Discuss your experience with tools such as Looker or Superset. Provide concrete examples of how you used these tools to derive insights from data and enhance product features or business strategies.

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How do you approach learning new data technologies?

Explain your proactive approach to staying updated with new technologies, which could include online courses, reading industry publications, attending webinars, or engaging with professional communities. Highlight how these efforts translate into improved project outcomes.

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What methodology do you prefer when designing data models?

Discuss your preferred methodologies, whether it's using star schema, snowflake schema, or another model. Justify your choices based on the specific types of data and use cases you’ve encountered in your previous roles.

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Can you describe a successful data product you've developed?

Share a detailed example of a data product you've created, including the problem it solved, the impact it had on the user experience, and any quantifiable success metrics that resulted from its implementation.

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How would you improve existing data workflows?

Discuss your analytical approach to identifying inefficiencies in data workflows. Outline concrete steps you would take to streamline processes and enhance overall team productivity.

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What experience do you have with cloud platforms for deploying data systems?

Detail your experience working with cloud providers like AWS. Talk about specific services you've used, such as S3 or EC2, and how they facilitated the deployment and scalability of data systems.

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What role do you think self-service analytics plays in empowering teams?

Discuss the advantages of self-service analytics, highlighting how they enable non-technical teams to access and utilize data for informed decision-making. Share any personal experiences you have had in implementing such solutions.

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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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DATE POSTED
March 20, 2025

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