Data Engineer

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 Data Engineer to design and build scalable software and data platforms that support the organization’s business intelligence capabilities. This hands-on role works closely with IT management, development teams, technical delivery teams, and vendors to support the successful design, development, and delivery of technology-based solutions. The Data Engineer must be comfortable working independently in an agile environment while collaborating effectively across teams.

This is a full-time remote position open to candidates located anywhere within the United States. Team members based in the Nashville, TN area have the option to work from our headquarters office on a hybrid basis.

Responsibilities:

Design robust, componentized, and adaptable processes to scale the business intelligence platform.

Evaluate big data and cloud technologies, quickly develop proficiency with relevant tools, and provide analysis and recommendations.

Understand and break down requirements into discrete tasks and actionable steps.

Develop and deliver high-quality code consistently and efficiently.

Identify inefficiencies in code or processes and recommend practical solutions.

Adapt quickly to changing requirements and priorities.

Own developed code and clearly communicate its functionality and design to the team.

Additional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.

Qualifications:

Required:

5+ years of experience using SQL.

3+ years of experience using Python.

5+ years of experience using databases or data tools, with a strong understanding of data modeling.

Significant hands-on experience delivering solutions in cloud infrastructure.

Experience with data integration/ETL processes and tools such as Azure Data Factory.

Preferred:

Experience delivering solutions in Microsoft Azure.

Experience with Databricks, Spark, and Delta tables.

Experience with lakehouse and medallion architectures .

Essential Competencies:

Strong understanding of object-oriented design principles.

Ability to design and build robust, scalable data pipelines.

Knowledge of instrumentation, logging, and alerting methods and best practices.

Proactive approach to problem solving with a strong ability to troubleshoot complex issues.

Ability to translate requirements into discrete tasks and actionable technical solutions.

Ability to adapt quickly to changing requirements and priorities.

Strong ownership, accountability, and ability to communicate technical concepts effectively to team members and stakeholders.

Attendance is an essential job function.