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Washington, District of Columbia, United States
Onsite
OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology’s mission and vision.
Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.
Job Description:
OneOncology is seeking a strong Big Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our development team is a small group and the person filling this role will be an integral part of it. All team members are individually motivated, yet collaborative. We maintain a high degree of accountability and are extremely productive but believe in enjoying our time at work.
The ideal candidate is a hands-on platform builder with extensive experience in developing scalable software and data platforms. The Data Engineer engages directly with IT management, development teams, technical delivery teams, and vendors to ensure the successful design, development, and delivery of technology-based solutions. They must be at ease working in an agile environment with little supervision and have effective communication skills.
Responsibilities:
Design robust, componentized, and adaptable processes to scale-up our business intelligence platform.
Understand big data and cloud technologies and quickly become productive with, and provide analysis on these tools.
Understand and break down requirements into discrete tasks and steps.
Deliver code consistently and quickly.
Identify inefficiencies in code or processes and recommend solutions.
Be able to adapt quickly to changing requirements and priorities.
Own their code as well as effectively communicate to the team how it works
Design robust, componentized, and adaptable processes to scale-up our business intelligence platform.
Understand big data and cloud technologies and quickly become productive with, and provide analysis on these tools.
Understand and break down requirements into discrete tasks and steps.
Deliver code consistently and quickly.
Identify inefficiencies in code or processes and recommend solutions.
Be able to adapt quickly to changing requirements and priorities.
Own their code as well as effectively communicate to the team how it works
Additional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.
Required or Preferred Qualifications (specify within):
5+ years of experience using SQL
3+ years of experience using Python
5+ years of experience using Databases or Data tools with a good understanding of Data Modeling
Experience with Databricks, Spark, and Delta tables preferred
Experience with lakehouse and medallion architectures preferred
Experience with Data Integration/ETL processes and tools such as Azure Data Factory
Essential Competencies:
Significant years of hands-on experience delivering solutions running in cloud infrastructure – preferably Azure.
Strong experience with SQL
Good understanding of OOD
Strong experience with building robust data pipelines
Experience with instrumentation, logging and alerting methods and best practices
Proactive approach to problem solving and strong ability to troubleshoot complex issues
Attendance is an essential job function.
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