Sr. Data Engineer

• Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans
• Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity
• Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse
• Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
• Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
• 5+ years of experience in data engineering, data warehousing, or data architecture
• Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
• Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
• Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
• Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
• Proven ability to translate business requirements into scalable, high-performance data solutions
• Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
• Strong proficiency in SQL and experience optimizing large-scale analytic workloads
• Experience working within SDLC frameworks, CI/CD practices, and version control
• Ability to lead technical work and provide code reviews
• Excellent communication and documentation skills

Healthcare domain experience is a plus

• PTO Policy
• Eligibility for Health Benefits
• Retirement Plan
• Work from Home