Healthcare Payer Data(Senior / Lead Data Engineer)

Nexwave is seeking a Senior / Lead Data Engineer specializing in healthcare payer data. The role develops and supports scalable, reusable data pipelines and transformation assets for client implementations, while leading technical delivery and ensuring data quality.

Responsibilities:

• Lead the design, development, and implementation of scalable data pipelines and data engineering solutions
• Develop and maintain reusable data pipelines, repeatable processes, and standardized development assets to support client implementations
• Apply strong healthcare payer domain knowledge to understand, process, and transform payer data effectively
• Build, develop, test, and maintain data transformation models using dbt
• Develop Python-based data processing, transformation, validation, and automation solutions
• Write, optimize, and troubleshoot complex SQL queries for large-scale data processing
• Understand healthcare payer data structures, business rules, workflows, and data relationships
• Ensure data quality, consistency, accuracy, and reliability through appropriate validation and testing frameworks
• Lead technical discussions, analyze business requirements, and translate them into scalable technical solutions
• Troubleshoot complex data pipeline issues and drive root-cause analysis and resolution
• Collaborate with client stakeholders, architects, business analysts, and engineering teams to ensure successful implementation delivery
• Provide technical guidance and mentorship to junior and mid-level data engineers
• Establish coding standards, engineering best practices, documentation, and reusable development patterns
• Manage multiple priorities and ensure timely delivery in fast-paced, deadline-driven client environments

Requirements:

• We are looking for a Senior / Lead Data Engineer with 12+ years of experience in data engineering and strong hands-on expertise in Healthcare Payer Data
• The ideal candidate must have a deep understanding of healthcare payer data structures, business rules, and workflows, along with strong technical skills in dbt, Python, and SQL
• • 10+ years of overall experience in Data Engineering or related data-focused roles
• • Strong hands-on experience with Healthcare Payer Data
• • Deep understanding of healthcare payer domain concepts, data structures, workflows, and business rules
• • Extensive hands-on experience with dbt (data build tool) for data transformation, modeling, testing, and maintenance
• • Strong proficiency in Python for data processing, automation, and transformation
• • Advanced SQL skills, including complex queries, joins, aggregations, performance optimization, and data validation
• • Proven experience designing, developing, and supporting scalable and reusable data pipelines
• • Strong understanding of data quality, data validation, troubleshooting, and root-cause analysis
• • Experience working on client implementation projects with tight deadlines and changing requirements
• • Ability to work independently and contribute immediately with minimal domain ramp-up time
• Candidates with general healthcare experience but without practical Healthcare Payer Data experience may not be suitable for this requirement
• • Experience in a Senior Data Engineer, Lead Data Engineer, or Technical Lead role
• • Experience leading technical delivery and guiding engineering teams
• • Familiarity with healthcare claims, member eligibility, provider, benefits, and enrollment data
• • Experience with ETL/ELT processes and modern data engineering architectures
• • Experience with cloud-based data platforms and data warehouses
• • Knowledge of data modeling, pipeline orchestration, CI/CD, version control, and automated testing
• • Excellent communication, analytical thinking, stakeholder management, and problem-solving skills