Lead Data Platform Engineer (REMOTE)

TRAC Recruiting is seeking a Lead Data Platform Engineer for a full-time and direct hire role for one of their health tech partners in the United States. This hands-on position involves architecting, building, and maintaining modern cloud-based data solutions, focusing on scalable data platforms and analytics infrastructure.

Responsibilities:

• Design, develop, and support scalable data pipelines and cloud-native data architectures
• Build and maintain production-ready applications and data processing frameworks using Python, PySpark, Scala, and related technologies
• Partner with engineering and business stakeholders to deliver analytics-ready datasets and reporting capabilities
• Contribute to technical architecture decisions, platform improvements, and development best practices
• Develop and optimize ETL/ELT workflows and streaming data solutions
• Create and manage data models, reporting structures, and analytics dashboards using AWS-native tools
• Work with relational and NoSQL databases to support high-volume data processing and storage requirements
• Implement cloud infrastructure solutions leveraging AWS services and container orchestration platforms such as Kubernetes or ECS
• Collaborate with operations teams on backup, disaster recovery, data retention, and security strategies
• Participate in code reviews, technical mentorship, and collaborative problem-solving across the engineering organization
• Evaluate and recommend modern technologies and frameworks that improve scalability, efficiency, and reliability

Requirements:

• 3+ years of professional experience in software engineering, data engineering, or cloud platform development
• Strong experience building and maintaining scalable data platforms and distributed processing systems
• Proficiency in Python, PySpark, Scala, and/or Typescript
• Hands-on experience developing Spark-based ETL and reporting frameworks using Spark SQL and Spark Streaming
• Experience with AWS cloud services, including tools such as S3, Redshift, Glue, Athena, EMR, Lambda, Step Functions, EventBridge, and QuickSight
• Knowledge of modern data storage and serialization formats such as Parquet and Iceberg
• Experience with relational databases and NoSQL technologies
• Strong understanding of cloud security concepts, including IAM, KMS, encryption, Secrets Manager, and data access controls
• Ability to independently troubleshoot technical challenges and deliver scalable solutions with minimal oversight
• Experience designing cloud-native applications and services in production environments
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience
• Experience building enterprise data lakes, data platforms, or Data-as-a-Service solutions
• Familiarity with healthcare systems, healthcare analytics, or healthcare IT environments
• Exposure to modern analytics and reporting platforms in large-scale cloud ecosystems