Senior Data Engineer

Primary Responsibilities

• Work with engineering leadership to implement and support inbound data integrations to ingest data to satisfy CPS requirements
• Complete assigned sprint stories to develop new and maintain existing data pipelines to bring in data to the CPS Enterprise Data Warehouse to support corporate initiatives
• Build and support outbound data interfaces to deliver reporting and data products within agreed upon SLA per customer contracts such as Exchange DX reporting, Data Extract reporting among others
• Mentor junior developers and contractors to scope tasks, shape and review work to ensure project deadlines are met
• Includes Usage of AI Tools like Github Copilot, M365
• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making

Required Qualifications

• Bachelor's degree in Computer Science or a related field
• 4+ years of experience modeling, designing, building, and supporting data integration processes (consumption, transformation and sharing)
• 2+ years of demonstrated experience and proficiency with AI tools and libraries for developing AI data corpus, models and agents
• Intermediate level of proficiency in SQL, Python and data libraries used in profiling, transforming and validating large datasets

Preferred Qualifications

• Specialty Pharmacy and/or healthcare experience preferred; aptitude for acquiring strong industry knowledge
• Databricks experience and/or certifications - Lake House, Delta Lake, Unity Catalog, pipeline integration
• Experience with modern healthcare data transport mechanisms and Optum specific tools
• Ability to translate complex technical requirements into business value for stakeholders while providing clear technical documentation for junior engineers
• Deep team involvement throughout the SDLC - a track record of performing code reviews and establishing best practices for team members

Soft Skills

• Ability to quickly grasp complex technical and business concepts and express them in clear language
• Self-motivated with the ability to work independently as well as part of a team
• Effective communication skills (both written and verbal) with internal and external clients

Pay and Benefits

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.