Senior Manager leading a team of database engineers to manage CCC's data platform. Overseeing mission - critical applications and collaborating with cross - functional teams in a hybrid environment.
About the role
- Senior Data Engineer designing and managing data architectures to transform large-scale data into insights for Humana. Involves leading technical discussions and implementing best data practices.
Responsibilities
- developing and optimizing scalable data pipelines to support critical analytics and business intelligence
- design, build, and maintain data models and architectures that enable efficient storage, retrieval, and processing of large-scale datasets
- work with key stakeholders to define the business problem, determine requirements, and ensure quality deliverables
- manage and prioritize data engineering roadmaps in partnership with business leaders, translating strategic objectives into actionable work items and clear delivery plans
- implement best-practice data governance, data quality, and data security standards, ensuring that pipelines and datasets are reliable, well‑documented, and compliant with organizational requirements
- facilitate regular stakeholder communication, providing updates on progress, risks, and dependencies while ensuring expectations are aligned across technical and non‑technical audiences
- conduct code reviews and enforce data engineering best practices.
Requirements
- Bachelor's degree in engineering or related field (e.g., Computer Science, Software Engineering or a related field)
- Proven track record of managing technical initiatives from planning to delivery, maintaining high standards of quality, and guiding engineers through mentorship and best practice adoption
- Ability to lead technical discussions, architecture reviews, and solutioning
- 5+ years of experience as a Data Engineer or similar role
- 3+ years of hands-on experience with Databricks
- Proficient in designing and implementing ETL/ELT workflows with strong expertise in Python, PySpark, and SQL
- Experience designing and implementing cloud-based big data solutions using Azure, AWS, or GCP
- Solid understanding of version control (Git), CI/CD pipelines, and software development lifecycle (SDLC) best practices
- Excellent communication skills and the ability to convey complex data in a clear and concise manner.
Benefits
- medical, dental and vision benefits
- 401(k) retirement savings plan
- time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
- short-term and long-term disability
- life insurance
- many other opportunities
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