Data Analytics Engineer

Role Overview

As a Data Analytics Engineer, you will design, implement, and own scalable data solutions for US Oncology datasets. The initial focus of this role is to reduce technical debt, strengthen data quality, establish sustainable data lifecycle management, and build consolidated dimensional datasets that support analytics and operational reporting.

What You Will Do

Design and implement reusable validations for completeness, accuracy, timeliness, consistency, and compliance with business rules; incorporate controls into regular pipeline monitoring and validation. Identify and resolve high-impact technical debt by standardizing engineering patterns, simplifying data flows, and improving the reliability, scalability, and supportability of existing solutions.

Why It Might Be a Fit

You will work extensively in Databricks and Python, integrate data through APIs and other source systems, and partner with technical and business stakeholders to deliver reliable, governed, reusable data assets.

Requirements

• Degree or equivalent
• 4+ years of relevant experience
• 4+ years of experience in data engineering, analytics engineering, software development, computer science, or a related field
• 4+ years of experience developing and optimizing data solutions in Databricks or Snowflake
• 4+ years of experience with Python and SQL for data pipeline, validation, automation, and application development
• Hands-on experience implementing data quality controls, monitoring, issue remediation, and reusable validation frameworks
• Experience with dimensional modeling, star schemas, database design, data warehousing, and consolidated enterprise data assets
• Ability to translate business rules into governed technical solutions and communicate complex concepts clearly to non-technical stakeholders
• Strong understanding of data governance, security, quality, lineage, retention, purge controls, and production support best practices

Benefits

• Competitive compensation package
• Annual bonus
• Long-term incentive opportunities
• Dental insurance
• Vision insurance
• Health insurance
• 401k plan
• Paid time off
• Holidays
• Flexible work arrangements

Tagged as: Data Analysis