Data Engineer - Remote

About The Role

We are seeking an experienced Lead Data Engineer to join our client's dynamic team. In this strategic role, you will be instrumental in designing and evolving the company's data platform to support their expanding digital health initiatives. You will lead the development of scalable data pipelines and Snowflake-based solutions, ensuring the delivery of high-quality, reliable data that fuels business insights and operational excellence. Working closely with cross-functional teams—including data analysts, software engineers, and business stakeholders—you will drive data modernization efforts, facilitate migration from legacy systems like BigQuery, and establish best practices for data governance and security.

Qualifications

• 7+ years of experience in data engineering within cloud or hybrid environments
• Proficiency in designing, building, and maintaining large-scale ETL/ELT pipelines
• Advanced SQL skills and expertise in data transformation techniques
• Strong Python programming experience 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
• Experience developing enterprise-grade API and data integrations
• Familiarity with data governance, lineage, metadata management, and security best practices
• Strong 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 batch and near real-time data processing
• Drive the migration and modernization of data assets from platforms like BigQuery to Snowflake
• Develop integrations with enterprise applications, APIs, and external data providers
• Build 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
• Establish and promote data governance standards, including lineage tracking and security protocols
• Support batch and streaming data architectures utilizing technologies such as Kafka or Event Hub
• Mentor junior engineers and contribute to architectural decisions, technical standards, and best practices
• Ensure data platforms meet performance, reliability, scalability, and compliance requirements

Benefits

• Competitive salary package aligned with experience and skills
• Remote work flexibility, supporting work-life balance
• Opportunity to work on innovative healthcare technology projects
• Collaborative and inclusive work environment
• Professional development and continuous learning opportunities
• Health insurance and wellness programs (if applicable)
• Potential for contract or B2B arrangements depending on project needs

Equal Opportunity

Our client is an equal opportunity employer. They 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, genetics, disability, age, or veteran status. They believe that diverse teams foster innovation and drive success, and they welcome applicants from all backgrounds to apply.