Postscript is seeking a Staff Data Engineer to lead their Data Engineering practice and advance their data architecture.
The role involves modernizing the data stack and building a lakehouse to facilitate broad data access for BI, Machine Learning, and Engineering teams.
Responsibilities include owning and evolving the data platform, delivering a v2 data architecture via a data lakehouse, building data ingestion pipelines, partnering with various teams for analytics use cases, supporting existing systems, and mentoring other engineers.
Requirements:
Candidates must have 8+ years of experience as a Data Engineer working with the modern data stack.
A minimum of 5 years of experience writing production-grade Python code is required.
Familiarity with the JVM and at least one JVM language (Java/Scala/Kotlin) is necessary.
A passion for data engineering and strong software engineering skills are essential.
Experience with modern datalakes using open table formats such as Iceberg, Hudi, or Delta Lake is required.
Candidates should have built and operated stream processing pipelines with Apache Flink and/or Spark.
Strong cloud architecture skills in the AWS ecosystem are needed.
Experience with a variety of database technologies and the ability to select the right technology for the job (Postgres/OLAP/NoSQL/etc.) is important.
Candidates should be seasoned in event-driven distributed systems.
A track record of success at remote mid/late-stage startups is preferred.
Strong communication and project management skills, along with the ability to build cross-team partnerships, are required.
Benefits:
The position offers a salary range of USD $200-235k base plus significant equity, with no geo-based salary adjustments.
Employees will have the opportunity to work in a high-growth startup environment, allowing for direct impact on the company and career growth.
The role is fully remote, allowing employees to work from home or any location.
The company promotes a fun and passionate work culture.
Competitive compensation and equity opportunities are provided.
Flexible paid time off is available.
Health, dental, and vision insurance are included in the benefits package.