Principal Data Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $130.3k - $195.5k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Alignment Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

⚕️ Healthcare Insurance

🛡️ Insurance

🏥 Healthcare

💰 $135M Series C on 2020-03

Healthcare Insurance • Insurance • Healthcare

Alignment Health is dedicated to providing comprehensive care for Medicare members, emphasizing the needs of seniors, the chronically ill, and those who are frail. With a mission to transform senior healthcare, Alignment Health leverages a tailored care model and advanced technology to deliver high-quality, low-cost healthcare services. Their 24/7 concierge care team collaborates with trusted local providers to ensure that every member receives personalized care, reflecting the company's commitment to treating all members as valued family members.

📋 Description

• Define and maintain data engineering patterns, pipeline standards, and architectural guardrails • Lead design of scalable data processing frameworks and transformation models for claims, encounters, risk adjustment, and member data • Maintain accountability for platform reliability and data quality outcomes • Apply machine learning and automation techniques in production data engineering environments • Implement and continuously improve high-performance cloud-based data pipelines for real-time and batch workflows • Serve as the technical subject matter expert for data engineering • Mentor engineers through architecture reviews, design sessions, and internal documentation • Evaluate emerging data technologies and make build-versus-buy recommendations • Contribute to the multi-year data platform engineering roadmap • Apply Medicare Advantage, CMS, HIPAA, HEDIS, and risk adjustment expertise to deliver audit-ready, compliant healthcare data solutions • Provide informal technical leadership and subject matter guidance to Data Engineers and Senior Data Engineers • Perform essential physical functions including talking, hearing, standing, walking, sitting, handling objects or controls, reaching, and occasionally lifting up to 10 pounds

🎯 Requirements

• 10+ years of progressive data engineering experience, with demonstrated platform engineering at scale • 5+ years of experience in healthcare, health insurance, or a Medicare Advantage environment • Experience building and governing enterprise data platforms using Apache Kafka, Databricks, and non-relational databases • Experience designing complex ETL/ELT pipelines in cloud environments (Azure, AWS, or GCP) • Experience working in HIPAA-compliant data environments with PHI/PII datasets • Experience setting engineering standards or architectural patterns adopted by others • Experience as a technical lead in a data platform modernization or cloud migration initiative • Experience working on AI tooling and usage in the data platform space • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field; equivalent combination of education and experience considered • Demonstrated working proficiency with cloud data platform tools, such as Azure Databricks or Azure Data Factory, or equivalent; hands-on experience accepted in lieu of formal certification • Expert-level Kafka, Databricks, Apache Spark, and cloud-native tooling skills • Deep experience with Azure, AWS, or GCP data services, data lakes, lakehouses, and streaming architectures • Ability to operationalize machine learning and automation in production data engineering pipelines, including feature stores and model serving infrastructure • Advanced knowledge of HIPAA, HL7/FHIR, ICD-10/CPT codes, CMS data submission standards, and PHI/PII data governance • Ability to design scalable relational and non-relational data models • Advanced SQL proficiency and production-level experience in Python, Scala, or Java • Experience implementing data quality frameworks, lineage tracking, and metadata management • No licensure required

🏖️ Benefits

• Fully remote work • Opportunities for growth and innovation • Equal employment opportunity