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.