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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal, Data Engineer - **Company:** Alignment Healthcare USA, LLC - **Location:** Orange, CA, United States - **Experience:** Expert - **Salary:** $130,332.0 - $195,498.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Big Data, Health Informatics, Cloud Database, Cloud Engineering, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Systems, Healthcare Effectiveness Data and Information Set, Python (Programming Language), Machine Learning, Meta-Data Management, Operational Databases, Cloud Services, DataOps, SQL Databases, Enterprise Data Management, Cloud Platform System, Azure Data Factory, Sql Optimization, Fast Healthcare Interoperability Resources, Apache Spark, Data Lakes, Information Technology, Data Lineage, Health Level Seven International, Integration Frameworks, Apache Kafka, Non-relational Database, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** September 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9b0d2de70d79145e ## About the Role Required: * 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 * Demonstrated experience building and governing enterprise data platforms using Apache Kafka, Databricks, and non-relational databases * Proven experience designing complex ETL/ELT pipelines in cloud environments (Azure, AWS, or GCP) * Experience working in HIPAA-compliant data environments with PHI/PII datasets * Demonstrated track record of setting engineering standards or architectural patterns adopted by others * Experience as a technical lead in a data platform modernization or cloud migration initiative * Working on AI tooling and usage in Data Platform space Preferred: * Hands-on experience with Medicare Advantage-specific data: encounter submissions, RADV, HEDIS, CMS reporting, or Star ratings analytics * Prior work in a high-growth or transformation environment where platform engineering was a strategic priority Education Required: * Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field; equivalent combination of education and experience considered Preferred: * Master's degree in a related technical discipline Training Required: * Demonstrated working proficiency with cloud data platform tools (Azure Databricks, Azure Data Factory, or equivalent); hands-on experience accepted in lieu of formal certification Preferred: * Cloud platform certification (Microsoft Azure Data Engineer Associate, AWS Certified Data Engineer, or Google Professional Data Engineer) * AI/ML engineering certification or relevant DataOps training Skills & Competencies Technical / Role-Specific Skills * Data Pipeline & Platform Engineering: Expert-level design, implementation, and optimization of complex data pipelines using Kafka, Databricks, Apache Spark, and cloud-native tooling across real-time and batch architectures. * Cloud Data Platforms: Deep experience with Azure (preferred), AWS, or GCP services including data lakes, lakehouses, and streaming architectures. * AI/ML Integration in Data Engineering: Demonstrated ability to operationalize machine learning and automation within production data engineering pipelines, including feature stores and model serving infrastructure. * Healthcare Data Standards & Compliance: Advanced knowledge of HIPAA, HL7/FHIR, ICD-10/CPT codes, CMS data submission standards, and PHI/PII data governance requirements. * Data Modeling: Ability to design data models for relational and non-relational systems that scale to support healthcare analytics use cases across clinical, operational, and financial domains. * SQL & Programming Languages: Advanced SQL proficiency with production-level experience in Python, Scala, or Java for data engineering workloads. * Data Quality & Governance: Experience implementing data quality frameworks, lineage tracking, and metadata management within large-scale data platforms., * Microsoft Azure Data Engineer Associate, AWS Certified Data Engineer, or equivalent cloud data certification * Certified Data Management Professional (CDMP) or equivalent data governance certification ## Description The Principal, Data Engineer is the highest-level individual hands on contributor and technical authority in the data engineering function, responsible for setting platform engineering standards and driving measurable improvements in data quality, pipeline performance, and platform scalability across the Medicare Advantage data ecosystem. This role partners with data architects, AI/ML engineers, analytics leaders, compliance teams, and business stakeholders to translate strategic data priorities into durable, audit-ready platform solutions spanning clinical, operational, and financial domains. The Principal sets the technical bar for the data engineering team, serving as the authoritative voice in architecture decisions, platform investments, and cross-functional engineering forums. Key outcomes include improved pipeline reliability, accelerated delivery of data products supporting risk adjustment, HEDIS, and CMS reporting, and a measurably stronger data engineering team. Job Duties/Responsibilities Set Platform Engineering Standards: Define and maintain the data engineering patterns, pipeline standards, and architectural guardrails that govern how data systems are designed, built, and evolved across the organization's data platform. Design and Govern the Data Platform: Lead the design of scalable data processing frameworks and transformation models supporting claims, encounters, risk adjustment, and member data domains - with direct accountability for platform reliability and data quality outcomes. Integrate AI/ML into Production Engineering: Apply machine learning and automation techniques within production data engineering environments - including pipeline intelligence, data quality automation, and feature pipeline design - establishing patterns others can scale. Build and Optimize Data Pipelines: Implement and continuously improve high-performance cloud-based data pipelines using Apache Kafka, Databricks, Apache Spark, and cloud-native tools for real-time and batch workflows. Elevate Engineering Capability Across the Team: Serve as the technical subject matter expert for data engineering, mentoring engineers through architecture reviews, design sessions, and internal documentation - raising the overall capability and consistency of the team. Lead Technology Evaluation and Platform Roadmap Input: Evaluate emerging data technologies and translate findings into actionable build-versus-buy recommendations, contributing directly to the multi-year data platform engineering roadmap. Deliver Compliant Healthcare Data Solutions: Apply expertise in Medicare Advantage data constructs - including CMS requirements, HIPAA, HEDIS, and risk adjustment - to ensure all data solutions are audit-ready, regulatory-compliant, and aligned to health plan reporting standards. Supervisory Responsibilities This role carries no direct supervisory responsibility at this time. The Principal, Data Engineer is expected to provide informal technical leadership, mentorship, and subject matter guidance to Data Engineers and Senior Data Engineers as the function's highest-level individual contributor. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)