[Hiring] Data Operations Engineer @OneOncology

Role Description

OneOncology is seeking a Data Operations Engineer. This position requires professional experience with SQL and Python, as well as solid coding, debugging, and organizational skills. This role:

• Monitors and evaluates day-to-day issues with data feeds, ingestion, and pipelines.
• Is responsible for rectifying problems that arise.
• Interfaces directly with IT, development teams, technical delivery teams, and vendors to resolve issues, proactively prevent issues, and manage stakeholder needs and requests.
• Must be able to work independently in an agile environment.

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:

• Monitor daily data ingestion and pipelines and triage or resolve errors or issues that arise.
• Monitor the latency of data received and proactively rectify problems by analyzing root causes.
• Partner with internal colleagues and external stakeholders to ensure clear, timely communication on project milestones, challenges, and outcomes.
• Resolve data and code problems and requests consistently and quickly, and create plans to educate and mitigate recurring problems.
• Independently assess and prioritize issues while identifying code or process inefficiencies and proposing actionable solutions.
• Work efficiently and independently while communicating effectively.
• Participates in on-call rotation for pipeline/data incidents.
• Additional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.

Qualifications

• Required:
• Bachelor's degree in Computer Science or related field, or equivalent work experience.
• High school diploma or GED.
• 2+ years of experience using SQL.
• 1+ years of professional experience using Python.
• 2+ years of professional experience using databases or data tools.
• Preferred:
• Experience with Databricks, Spark, and Delta tables.
• Experience with lakehouse and medallion architectures.
• Experience with data integration/ETL processes and tools such as Azure Data Factory.
• Experience with healthcare data or regulated data environments.

Requirements

• Understanding of object-oriented code.
• Experience with instrumentation, logging and alerting methods and best practices.
• Proactive approach to problem solving with a strong ability to troubleshoot complex issues.
• Excellent attention to detail and communication skills.
• Ability to manage issues through resolution.
• Attendance is an essential job function.