Data Engineer

About The Company

Our client is a pioneering organization in the digital health industry, committed to transforming healthcare delivery through innovative technology solutions. They operate a comprehensive platform that seamlessly connects employers, patients, and leading medical providers, aiming to reduce healthcare costs while enhancing patient outcomes. With a focus on data-driven decision-making, the company invests heavily in modernizing its data infrastructure and analytics capabilities to stay at the forefront of healthcare innovation. Their mission is to improve access, efficiency, and quality of care by leveraging cutting-edge data engineering and cloud technologies.

About The Role

At IT Labs, we are seeking an experienced Lead Data Engineer to join our team and support one of the most innovative companies in the digital health space. In this role, you will be instrumental in designing, developing, and maintaining the company's data platform, which is essential for powering analytics, business intelligence, and decision-making processes. You will lead efforts to build scalable data pipelines and Snowflake-based solutions, ensuring high data quality, performance, and security. Collaborating with cross-functional teams, including data analysts, engineers, and business stakeholders, you will translate complex business requirements into robust technical solutions. This role offers an exciting opportunity to influence the future of healthcare technology through data excellence and innovation.

Qualifications

• 7+ years of experience in data engineering within cloud or hybrid environments
• Proven expertise in designing, building, and maintaining large-scale ETL/ELT pipelines
• Advanced SQL skills and proficiency in data transformation techniques
• Strong Python programming skills for data processing and automation
• Hands-on experience with Snowflake, including data modeling, Snowpipe, query optimization, and schema design
• Experience migrating data assets from BigQuery or similar platforms
• Knowledge of batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent
• Experience developing enterprise-grade API and external data source integrations
• Understanding of data governance, data lineage, security, and access control best practices
• Excellent problem-solving, communication, and collaboration skills

Responsibilities

• Lead the design, development, and optimization of scalable data platforms and pipelines
• Build and maintain production-grade ETL/ELT workflows for both batch and near real-time data processing
• Oversee migration and modernization of data assets from platforms like BigQuery to Snowflake
• Create robust integrations with enterprise applications, APIs, and external data providers
• Develop and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance
• Collaborate with business stakeholders, analysts, and engineering teams to translate requirements into scalable data solutions
• Implement data quality, validation, monitoring, and observability frameworks to ensure data integrity
• Establish best practices for data governance, lineage tracking, metadata management, and security protocols
• Support both batch and streaming architectures utilizing technologies such as Kafka or Event Hub
• Mentor junior engineers and contribute to architectural decisions, technical standards, and engineering best practices
• Ensure data platforms meet performance, reliability, scalability, and compliance standards, including regulatory requirements

Benefits

• Competitive salary package
• Flexible remote working arrangements
• Opportunity to work with cutting-edge data technologies in the healthcare industry
• Professional development and continuous learning opportunities
• Collaborative and innovative work environment
• Health, dental, and vision insurance options (if applicable)
• Paid time off and holidays

Equal Opportunity

IT Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status under applicable law.