Senior Data Engineer @ Prophecy | Jobright.ai
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Prophecy · 4 hours ago

Senior Data Engineer

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Apache SparkApache AirflowData WarehousesData EngineeringPythonScalaETLPerformance OptimizationCustomer-facing ExperienceTechnical Customer-facing RoleCI/CD

Required

Solid data engineering skills with experience in Apache Spark and Airflow
Ability to write high-quality Spark code
Articulate communication skills
Experience in complex data engineering (ETL) and solving performance issues with Spark jobs
Ability to educate and help customers onboard to the product
Demonstrate ownership to drive to solution and be pro-active
Participate in on-call rotation

Preferred

Customer-facing experience
Experience in a technical customer-facing role - preferably solution engineering
Ability to form relationships with executives and influencers
Ability to present a convincing point-of-view to important decision-makers
Experience in writing Python or Scala code
Bachelor in CS (preferred)
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
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

Benefits

Prophecy covers 99% of employee health insurance and 75% for dependents
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!

Company

Prophecy

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Prophecy is the data copilot company.

H1B Sponsorship

Prophecy has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
2020 (1)

Funding

Current Stage
Growth Stage
Total Funding
$112.25M
Key Investors
Insight PartnersSignalFire
2024-10-10Series B· $38.8M
2023-10-11Series B· $35M
2022-01-20Series A· $25M

Leadership Team

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Maciej Szpakowski
Co-founder
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Vikas Marwaha
Co-founder
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Company data provided by crunchbase
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