Prophecy is the data copilot company, revolutionizing how enterprise teams handle their data transformation. We're seeking a solid data engineer to join our high-growth startup, working with Fortune 500 enterprises in banking, insurance, healthcare, life sciences, and technology.
As a Data Engineer at Prophecy, you'll be a resident expert in data engineering using Prophecy with Spark & Airflow. You'll solve complex customer issues related to Apache Spark and Data Warehouses, build automated tooling, and demonstrate ownership to drive solutions. You'll also educate customers on best practices for pipeline runtime performance, CI/CD, and scheduling.
Your role involves building reusable Spark, SQL, and Airflow packages that solve repeated problems in data engineering. You'll write high-performance Spark code and have the opportunity to sculpt the next wave of data tools.
The ideal candidate has customer-facing experience, preferably in solution engineering, with the ability to form relationships with executives and present convincing points-of-view. Technical experience with Apache Spark, Python or Scala, and complex data engineering (ETL) is crucial. A Bachelor's in CS is preferred.
Prophecy offers competitive benefits, including comprehensive health insurance, flexible PTO, wellness allowance, and professional development reimbursement. Join us in revolutionizing data engineering and make your mark on an innovative platform with end-to-end project ownership.
We're committed to merit and inclusion, fostering a diverse culture where people from all backgrounds can excel. Prophecy is an equal opportunity employer, considering candidates without regard to protected characteristics.