What are the responsibilities and job description for the Senior Data Engineer position at Prophecy?
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
Benefits and Perks
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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Salary : $200
