Data Engineer

Summary

Join Postscript as a Staff Data Engineer to lead the Data Engineering practice and modernize the data stack. You will build a data lakehouse using Apache Iceberg and create data pipelines. Collaborate with Engineering, Product, and BI teams to support new analytics and migrations. Mentor other data engineers. Postscript offers a competitive salary ($200-235k base plus equity), remote work, flexible PTO, and comprehensive health benefits. The company is a high-growth startup with opportunities for career advancement. The hiring process includes an intro call, hiring manager intro, homework assignment, virtual onsite interviews, a final FEACH interview, and reference checks.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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