Lead Data Engineer - Primary Care

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The Lead Data Engineer oversees data processing architectures and solutions ensuring the efficient conversion of structured and unstructured data to insights at enterprise scale. You will work on problems of diverse scope and complexity ranging from moderate to substantial. You will report to the Director, Business Intelligence.

Responsibilities

• Ingest data from internal and external sources using cloud native platforms and software development best practices and patterns.
• Develop software tools using artificial intelligence, machine learning, and big data to turn data into insights that improve member outcomes.
• Exercise decision-making on complex issues regarding job responsibilities and related tasks, requiring analysis of variable factors and determining the best course of action.
• Lead the development of PCO Analytics’ data warehouse using Medallion architecture and Kimball modeling to deliver optimized, business-ready data marts and star schemas for analytics.
• Lead the Information Architecture of PCO Analytics, establishing well-governed processes to ensure holistic metadata, reference data management, ontologies, and semantic layers.
• Collaborate with partners to develop data governance frameworks and standards.

Required Qualifications

• Bachelor’s degree and 8+ years of technical experience in data engineering OR Master’s degree and 4+ years of experience.
• Expertise in Medallion architecture and Kimball dimensional modeling.
• Experience integrating semantic and organizational data assets with leading AI platforms.
• 2+ years of project leadership experience.
• Advanced experience working with big and complex data sets within large organizations.
• Advanced in SQL, Snowflake, Databricks, or other data systems.
• 2+ years’ experience in dbt.
• Proficiency in understanding Healthcare related data.
• Ability to work within the EST time zone.

Preferred Qualifications

• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
• Experience creating analytics solutions for several healthcare sectors.
• Cloud certification in leading cloud or AI platform such as Snowflake, Azure, Databricks, AWS, or GCP.

Travel

While this is a remote position, occasional travel to Humana’s offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$142,300 - $195,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides 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 and many other opportunities.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.