Staff Data Engineer

About Postscript

Trusted by more than 18,000 Shopify and Shopify Plus stores—like Brooklinen, Ruggable, True Classic and Dr. Squatch—Postscript gives ecommerce brands the tools they need to run a world-class SMS marketing program.

We’re on a mission to make SMS the number-one revenue channel for ecommerce merchants by delivering an easy-to-use platform where they can grow their subscriber list, develop and test their messaging strategy, deliver excellent customer service, and drive sales and loyalty—all in one place. We believe SMS is the most important marketing and sales channel of the decade, and that vision drives everything we do.

Postscript was founded in 2018 as a 100% remote organization. With more than 250 employees (and counting!), we’re backed by Greylock, Y Combinator, and other top investors.

Postscript is redefining marketing for ecommerce companies. By introducing SMS as an entirely new channel for ecommerce stores to engage, retain, and convert their customer base, brands are seeing huge ROI with Postscript. Backed by Greylock, Y Combinator and other top investors, Postscript is growing fast and looking for remarkable people to help build a world class organization.

Job Description: Staff Data Engineer

We’re seeking a Staff Data Engineer to help lead our Data Engineering practice and take our data architecture into the future. You’ll be supporting our efforts to modernize our data stack and build our lakehouse to enable broad data access to BI, Machine Learning, and Engineering teams at Postscript. You’ll be creating an Apache Iceberg data lakehouse and prerequisite data pipelines to unlock global data access across Postscript.

Primary Duties

• Own and evolve our data platform, tooling, and architecture to meet growing analytical and product needs.
• Help lead the delivery of a v2 data architecture at Postscript via a data lakehouse.
• Build stream and batch data ingestion pipelines to process source data.
• Partner with Engineering, Product, and BI to support net new analytics use cases and migrations.
• Support existing data engineering systems.
• Mentor and coach other data engineers and backend software engineers in the data practice.

What We’ll Love About You

• 8+ years as a Data Engineer working on the modern data stack.
• 5+ years of experience writing production grade Python code.
• You have familiarity with the JVM and at least one JVM language (Java/Scala/Kotlin).
• Passionate about data engineering and have strong software engineering skills.
• You’ve worked in modern datalakes with open table formats such as Iceberg, Hudi, or Delta Lake.
• You’ve built and operated stream processing pipelines with Apache Flink and/or Spark.
• You have strong cloud architecture skills in the AWS ecosystem.
• You’ve worked with a broad array of database technologies and understand how to select the right technology for the job (Postgres/OLAP/NoSQL/etc.).
• You’re seasoned in event-driven distributed systems.
• You have a track record of success at remote mid/late-stage startups.
• You’re able to build strong cross-team partnerships and have strong communication + project management skills.

What You’ll Love About Us

• Salary range of USD $200-235k base plus significant equity (we do not have geo based salaries).
• High growth startup - plenty of room for you to directly impact the company and grow your career!
• Work from home (or wherever).
• Fun - We’re passionate and enjoy what we do.
• Competitive compensation and opportunity for equity.
• Flexible paid time off.
• Health, dental, vision insurance.

Hiring Process

• Intro Call: You’ll hop on a quick call with the Recruiter so we can get to know you better — and you can learn a little more about the role and Postscript.
• Hiring Manager Intro: You’ll hop on a quick call with the Hiring Manager so your future Manager can get to know you better — This is a great time to learn more about the team & position.
• Homework Assignment: We will send over an exercise that challenges you to solve.