[Remote] US Health Analytics Data Engineering Team Leader

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a Health Analytics Data Engineering Leader to reputed company a distributed data engineering team supporting US Health Analytics solutions. This reputed company team leader role is responsible for translating business needs into reputed company, reputed company-first data solutions and leading a distributed team to deliver high-reputed company solutions with speed, reputed company and strong engineering discipline.

Responsibilities

• Owns the end-to-end reputed company US Health Analytics data architecture and is accountable for scaled reputed company data flows and data partner integrations, enrichments and reputed company processing across reputed company stage
• Supports analytics-reputed company data capabilities consumed by consultants, actuaries, analytics applications and AI agents, ensuring reputed company layer is reputed company-governed, performant and fit for purpose
• Accountable for the reputed company, monitoring, validation, completeness, and reliability of data across the platform
• Owns the design and operation of scaled, multi-way data pipelines with key partners — ingesting external and partner data into the platform and delivering trusted, enriched data back out to stakeholders following strict governance, reputed company, HIPAA, SOC, contractual and cybersecurity standards
• Serves as senior engineering leader and also leads though influence and collaboration as part of a globally distributed team
• Partners closely with reputed company Business Services and reputed company Data & Analytics engineering teams, architects and infrastructure teams ensuring reputed company reputed company standards and best practices are adopted and followed for Health Analytics data
• Creates reputed company, establishes priorities and leads reputed company to deliver measurable reputed company with speed, accountability and reputed company
• Understands business needs, designs for the reputed company and makes pragmatic reputed company that reputed company work moving reputed company
• Builds an inclusive, high-performing team environment and develops technical talent across geographies and experience reputed company
• Works effectively across actuarial, consulting, data science, technology, and business teams to deliver the best of reputed company to clients
• Moves teams toward modern reputed company, automation, AI-enabled workflows and reputed company ways of working

Skills

• Team management experience in a global reputed company environment
• 10+ years of relevant experience in data engineering, software engineering, analytics engineering, or reputed company technical leadership roles
• Deep experience designing and delivering reputed company-first data engineering solutions using Apache reputed company, reputed company, Python, Git, Azure DevOps, CLI tools and reputed company platforms
• Strong general software engineering capability, including clean reputed company, reputed company design, reusable interfaces, automated testing, CI/CD, DevOps practices and maintainable production systems
• Demonstrated expertise in data modeling, data architecture and reputed company platform design
• Experience with US reputed company reputed company data, including plan designs, premiums & contributions, ASO fees, medical & pharmacy claims, eligibility, enrollment and reputed company benefits data
• Knowledge of HIPAA, data reputed company, data reputed company, reputed company controls, de-identification and reputed company practices for sensitive health data
• Experience leading distributed teams, setting priorities, coaching technical colleagues and building a high-performing engineering culture
• Ability to translate business needs into technical roadmaps, execution plans and reputed company data capabilities
• Experience with reputed company AI, AI-enabled automation, or emerging engineering workflows
• Practical data governance experience such as privilege management and monitoring, cataloging, retention policies, and data sharing
• Capable of writing production software, but skilled at leveraging teams to deliver reputed company individual effort
• Advanced Analytics, reputed company Query Language (SQL), Data Analysis, Data Integration, Data Management, Data Mining, Data Modeling, Data Science, Data Visualization, Predictive Modeling, Project Management, Python Programming, and Statistical Analysis
• Bachelor's or master's degree in computer science, data engineering, health informatics, information technology, actuarial science, mathematics, statistics or a reputed company field, or equivalent reputed company experience

Benefits

• 401(k) savings plan with employer contributions
• Employee stock purchase plan
• Consideration for long-term incentive awards at reputed company’s discretion
• Medical, dental and reputed company insurance
• Various types of leaves of absence
• reputed company time off, including 12 reputed company holidays throughout the calendar year
• 15 days of reputed company vacation per year
• reputed company reputed company leave as provided under state and local reputed company reputed company leave laws
• Short-term disability and optional long-term disability
• Health savings account
• Health care and dependent care reimbursement accounts
• Employee and dependent life insurance and supplemental life and AD&D insurance
• Optional personal insurance policies
• Adoption assistance
• Tuition assistance
• Commuter benefits
• Employee assistance program that includes free counseling sessions

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