Data Engineer

About Prophecy

Prophecy is the data copilot company. Fortune 500 enterprises - including the largest institutions in banking, insurance, healthcare & life sciences, and technology - rely on Prophecy Data Transformation Copilot to accelerate AI and analytics by delivering data that is clean, trusted, and timely. Prophecy enables all data users and makes them productive by helping develop, deploy, and observe data pipelines on cloud data platforms. Organizations trust Prophecy for the most demanding workloads, including tens of thousands of data pipelines that deliver massive volumes of data for AI and analytics.

Prophecy is backed by top VCs and investors including Insight Partners, SignalFire, Databricks, and JPMorgan Chase.

About The Role

Prophecy is used by customers to develop data engineering workflows on Apache Spark, Apache Airflow, and Data Warehouses. We're looking for a solid data engineer who can work with our customers, has a product mindset, can write high-quality Spark code, and is articulate in communication.

This role gives you the unique opportunity to sculpt the next wave of data tools, revolutionizing how enterprise teams handle their data transformation. We only seek A players to work with other A players in our high-growth startup.

Joining Prophecy is revolutionizing the way data is engineered. Come and join us - become a part of it!

Location: Remote with occasional travel to the office

You Will (Optional)

• Be a resident expert in data engineering using Prophecy with Spark & Airflow
• Solve complex problems and educate
  • Address complex customer issues related to Apache Spark and Data Warehouses
  • Build automated tooling to solve repeatable problems
  • Demonstrate ownership to drive to solution, be pro-active
  • Participate in on-call rotation
• Educate
  • Help our customers (Fortune 500) onboard to the product, answering queries about Prophecy, Spark, and Airflow
  • Provide best practices and guidance around pipeline runtime performance, usage of third-party libraries, CI/CD, and scheduling
• Build product packages
  • Build reusable Spark, SQL, and Airflow packages that solve repeated problems in data engineering (e.g., data quality, auditing, and connectors)
  • Write high-performance Spark code

Ideally You Would Have

• Customer-facing Experience
  • Experience in a technical customer-facing role - preferably solution engineering or wanting to do such a role
  • Ability to form relationships with executives and influencers
  • Ability to present a convincing point-of-view to important decision-makers that leads them down a path of success
• Technical Experience
  • Experience in Apache Spark, and you can write Python or Scala code
  • Experience in complex data engineering (ETL) and have solved many performance issues with Spark jobs
  • Experience in a technical customer-facing role - preferably solution engineering or wanting to do such a role
• Bachelor in CS (preferred)

Benefits and Perks

• Prophecy covers 99% of employee health insurance and 75% for dependents
• Very competitive compensation
• We offer $200 per month towards wellness, gyms, massages, facials, and more!
• Celebrate your birthday and anniversary with a day off!
• Flexible PTO
• Prophecy provides employees with a $500 professional development reimbursement every year
• Company sponsored Long Term Disability and Life Insurance
• FSA/HSA
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects
• And more!

*Benefits and perks may vary per country

Our Commitment to Merit and Inclusion

At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and any other protected characteristics under applicable laws.

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