Data Engineer, Data Platform

Trusted by more than 18,000 Shopify and Shopify Plus stores, 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’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 ’ll be creating an Apache Iceberg data lakehouse and prerequisite data pipelines to unlock global data access across Postscript.

• 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.
• Mentor and coach other data engineers and backend software engineers in the data practice.

• 8+ years as a Data Engineer working on the modern data stack-должен.
• 2+ years operating as a staff or lead engineer.
• 5+ years of experience writing production grade code (preferably in Go).
• 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 Spark and/or Flink.
• 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/No
  
  SQL/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.
• Proven upward trajectory or history of promotions and success.
• Software‑as‑a‑Service (SaaS) startup experience specifically at successful growth companies (>200 employees, successful exits/fund raises with credible VCs, etc).

• 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 điều wherever.
• Fun - We’re passionate and enjoy what we do.
• Competitive compensation and equity opportunity.
• Flexible paid time off.

• Intro Call with recruiter to learn about the role.
• Take‑Home Technical Assignment.
• Day 1 Interviews – virtual onsite with team members.
• Day 2 Interviews – hiring manager intro and FEACH values interview.
• Reference checks.
• Offer.