Principal Engineer I, Data

CareMetx, LLC

. Lead and mentor a team of data engineers, providing technical guidance and expertise .

Posted 9/15/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering with a strong focus on healthcare data systems, including proficiency in F.H.I.R. standards, data warehousing, ETL processes, and cloud-based data platforms. Capable of leading teams, mentoring engineers, and implementing scalable data solutions while ensuring data quality and compliance.

Highest-signal resume keywords

Data EngineeringF.H.I.R. StandardsETL ProcessesCloud-Based Data PlatformsSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingData IntegrationData MigrationData TransformationSQLPythonData ModelingData ArchitectureTest-Driven DevelopmentEvent-Driven Architecture

Soft Skills

LeadershipMentoringProactive Problem-SolvingCommunicationCollaboration

Tools & Technologies

AWSDMSGlueRedshift SpectrumDBTKafkaMonitoring ToolsAnalytics Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceHealthcare Data Standards Certification

Industry Keywords

Healthcare Data SystemsData GovernanceData QualityAnalyticsInteroperability

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSCloudETLKafkaPythonSQL

About the role

Key responsibilities & impact

Lead and mentor a team of data engineers, providing technical guidance and expertise
Collaborate with architecture, leadership, stakeholders, and cross-functional teams to design and implement data solutions aligned with business objectives
Ensure data infrastructure is scalable, reliable, and secure for analytics and reporting
Manage data pipelines, ETL processes, and data integration across systems
Ensure adherence to F.H.I.R. standards for healthcare interoperability
Monitor data quality and implement data governance practices to maintain high data integrity
Collaborate with data scientists and analysts to enable advanced analytics and machine learning initiatives
Champion emerging data technologies and best practices
Identify and implement code refactoring and improvement opportunities
Translate high-level data architecture principles into actionable plans and projects
Address data-related challenges and opportunities across cross-functional teams
Foster knowledge sharing and continuous learning
Engage in systems thinking and assess organizational impacts of data changes
Proactively address data security and compliance requirements
Maintain regular and reliable attendance
Perform other related duties as assigned

Requirements

What you’ll need

8+ years of experience in data engineering or a related field, with a strong emphasis on healthcare data systems
Strong experience in data warehousing, ETL processes, and data integration
Specific expertise in F.H.I.R./HL7 standards for healthcare interoperability
Experience with cloud-based data platforms; AWS preferred
Experience with data migration and data transformation tools preferred (DMS, Glue, Redshift Spectrum, DBT, etc.)
Proficiency in SQL and scripting languages; Python and SQL preferred
Knowledge of data modeling and data architecture principles
Experience with Kafka is a plus
Bachelor's degree in computer science, data engineering, or a related field
Additional training or certification in healthcare data standards preferred
Exceptional verbal and written communication skills
Leadership experience and ability to mentor and guide a team
Proactive problem-solving ability
Experience with event-driven architecture principles and Apache Kafka
Extensive SQL experience and working knowledge of relational and non-relational databases
Foundational knowledge of advanced data structures, algorithms, and software design principles
Experience executing complex projects in agile environments
Ability to work autonomously and collaboratively in high-paced, dynamic environments
Significant practical experience with test-driven development (TDD)
Familiarity with monitoring and analytics tools for performance measurement and system improvement
Flexible schedule and hours
Equivalent combinations of experience and education are considered

Benefits

Comp & perks

Full-time employment
Equal employment opportunity and non-discrimination commitment
Reasonable accommodations for individuals with disabilities
Some travel may be required