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Postscript · 4 months ago

Staff Data Engineer, Data Platform

Phoenix, AZ

Full-time

Onsite

Lead/Staff

$200K/yr - $235K/yr

8+ years exp

Postscript is a company focused on redefining marketing for ecommerce through SMS, aiming to enhance revenue channels for merchants. They are seeking a Staff Data Engineer to lead their Data Engineering practice, modernize their data architecture, and build a data lakehouse to facilitate data access for various teams within the organization.

AdvertisingE-CommerceEnterpriseSales AutomationSMS

Growth Opportunities

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

Qualification

Data EngineeringPythonApache SparkAWSData LakehouseJVM LanguagesStream ProcessingDatabase TechnologiesCommunication SkillsProject ManagementMentoring

Required

8+ years as a Data Engineer working on the modern data stack

2+ years operating as a Staff or Lead engineer

5+ years of experience writing production grade Python code

Familiarity with the JVM and at least one JVM language (Java/Scala/Kotlin)

Passionate about data engineering and have strong software engineering skills

Experience working in modern datalakes with open table formats such as Iceberg, Hudi, or Delta Lake

Experience building and operating stream processing pipelines with Apache Spark and/or Flink

Strong cloud architecture skills in the AWS ecosystem

Experience with a broad array of database technologies and understand how to select the right technology for the job (Postgres/OLAP/NoSQL/etc.)

Seasoned in event-driven distributed systems

Track record of success at remote mid/late-stage startups

Ability 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/fundraises with credible VCs, etc)