Senior Data Engineer

About Our Client

The organization operates globally in the healthcare sector, focusing on enhancing health outcomes through technology. It addresses the challenge of connecting individuals to care, pharmacy benefits, data, and resources needed to improve health. The company supports a broad community by delivering data-driven solutions that optimize health on a large scale.

About the Opportunity

The Senior Data Engineer role is responsible for designing and implementing scalable data engineering solutions that support complex analytics and reporting needs. This position plays a key role in building and maintaining enterprise data pipelines and integration processes, ensuring data quality and operational efficiency. The role contributes to the organization by enabling informed decision-making through a reliable, highly optimized data infrastructure.

Responsibilities

• Collaborate actively with product owners, business users, and core stakeholders to translate data requirements into automated engineering solutions
• Design, develop, and maintain modern data pipelines using Azure Data Factory (ADF), DBT (Data Build Tool), Snowflake SQL, and metadata-driven frameworks
• Develop and optimize complex SQL queries, relational views, and stored procedures tailored for high-performance analytics and business reporting
• Arcitect and support robust data integration processes, including multi-format batch file ingestion and automated, secure data extracts
• Partner with architectural stakeholders to determine technical solutions that balance performance, multi-tenant scalability, and code maintainability
• Serve as a technical expert and internal mentor, providing structured guidance on modern data engineering best practices and design patterns
• Author and maintain clear technical documentation, including source-to-target data mappings, file specifications, and operational runbooks
• Evaluate, monitor, and continuously improve automated data quality validation checks and backend operational efficiencies
• Support strategic data acquisition initiatives, including onboarding new third-party data sources and configuring secure data transfers
• Communicate intricate technical concepts clearly to both distributed engineering teams and non-technical senior leadership
• Foster a collaborative and inclusive team environment that promotes continuous knowledge sharing and technical skill improvement
• Manage multiple shifting priorities independently while remaining highly adaptable to evolving product requirements
• Diagnose, troubleshoot, and resolve critical pipeline failures, upstream data anomalies, and cloud-compute performance bottlenecks

Requirements

• High School Diploma / GED or equivalent practical professional experience
• Eight (8) or more years of progressive data engineering experience with a strict focus on enterprise data warehousing (EDW) and ETL/ELT architecture
• Eight (8) or more years of direct experience designing, building, and orchestration pipelines using Azure Data Factory and/or the Snowflake Data Cloud
• Eight (8) or more years of hands-on experience developing within Snowflake, including creating stored procedures and deploying native platform utilities
• Eight (8) or more years of experience managing code repositories with GitHub version control and deploying via automated CI/CD pipelines
• Eight (8) or more years of strong Python programming experience tailored for big data processing, data manipulation, and workflow orchestration
• Eight (8) or more years of experience building or consuming modern REST APIs within integrated Snowflake or ADF cloud workflows
• Five (5) or more years of system scripting experience (such as Windows Batch or PowerShell) optimized for the Microsoft Azure platform
• Proven experience parsing, cleaning, and processing diverse structured and semi-structured datasets, including fixed-width, delimited flat files, JSON, and XML
• Prior data engineering exposure within heavily regulated fields such as healthcare analytics, digital health tech, or pharmacy benefit systems
• Strong understanding of healthcare compliance frameworks and data security standards protecting sensitive patient information

Pay Range and Compensation Package

The target baseline salary framework is $91,700.00 to $163,700.00 USD annually for full-time alignment. Final base salary placement within this tier is calibrated dynamically based on the candidate's specialized Azure/Snowflake architecture depth, Python orchestration capabilities, physical location, and internal equity frameworks.

Benefits & Perks

• Comprehensive corporate health, dental, and vision insurance options
• Enterprise performance incentives and talent recognition programs
• Structured corporate equity stock purchase plan (ESPP) pathways
• Robust 401(k) retirement savings plan featuring employer-backed contributions

Equal Opportunity Statement

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, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.