Snowflake Data Engineer

About Persistent

We are an AI-led platform-driven Digital Engineering and Enterprise Modernization partner combining deep technical expertise and industry experience to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 18 of the Fortune 50 companies 7 of the 10 top US banks 9 of the 10 technology companies and numerous innovators across the healthcare ecosystem.

Our disruptors mindset commitment to client success and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation leadership and inclusion. We have delivered 26sequential quarters of growth with $487.6M in Q2 FY27 revenue up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29500global team members located in 21 countries have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and for the second year in a row were awarded the Growth Honor of the Year at the Everest Group Elevate 2026.

About Position:

We are seekinf for a Snowflake Data Engineer you will play a key role in building and optimizing modern cloud-based data platforms that power healthcare analytics reporting and AI-driven solutions. You will work with large-scale healthcare datasets and leverage Snowflake Azure Databricks PySpark and modern data engineering practices to develop resilient scalable and secure data solutions. The role offers an opportunity to contribute to advanced analytics real-time data processing automation and next-generation AI/GenAI initiatives.

• Role: Snowflake Data Engineer
• Location: All Persistent Locations
• Experience: 5 to 10 years
• Job Type: Full Time Employment

What Youll Do:

• Design develop and maintain scalable data engineering solutions using Snowflake Azure Databricks PySpark Python and SQL.
• Build optimize and support enterprise-grade ETL/ELT pipelines for structured and semi-structured healthcare data.
• Develop and manage data ingestion frameworks using Azure Data Services Snowflake Kafka and Airflow.
• Design and implement scalable data models data marts and reusable datasets for enterprise reporting and analytics.
• Enable real-time and event-driven data processing through Kafka streaming technologies and CDC integrations.
• Develop and maintain cloud-native data platforms utilizing Azure services Databricks Snowflake and Kubernetes-based environments.
• Build and support AI/ML and Generative AI use cases including LLM-powered applications RAG architectures and advanced analytics solutions.
• Implement CI/CD pipelines infrastructure automation and DevOps best practices using GitHub Actions Terraform and Azure DevOps.
• Partner with business stakeholders analysts product owners and architects to define requirements metrics and data solutions.
• Create source-to-target mappings and ensure data quality completeness lineage governance and traceability across data platforms.
• Perform root cause analysis production support troubleshooting and performance optimization activities.
• Develop dashboards reports and analytical data products that provide actionable business insights.
• Ensure platform security compliance reliability scalability and operational excellence.
• Conduct code reviews design reviews knowledge-sharing sessions and technical mentoring for junior engineers.
• Drive innovation by identifying opportunities for automation process improvements and AI-assisted engineering practices.

Expertise Youll Bring:

• 5 to 10 years of hands-on experience in Data Engineering and Data Warehouse development.
• Strong expertise in Snowflake Azure Databricks Spark (PySpark) Python SQL and modern cloud data platforms.
• Experience working with Azure services such as Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Azure Functions Key Vault and Azure DevOps.
• Strong knowledge of ETL/ELT frameworks data integration patterns and large-scale data processing architectures.
• Experience designing and implementing data solutions using Snowflake Databricks Kafka Spark and cloud-native technologies.
• Advanced SQL expertise including query optimization stored procedures data quality validation and performance tuning.
• Hands-on experience with Kafka event-driven architectures CDC pipelines and streaming data processing.
• Strong understanding of data modeling dimensional modeling master data management and data warehousing concepts.
• Experience building and supporting production-grade data platforms in cloud environments.
• Working knowledge of Docker Kubernetes Infrastructure as Code and automation frameworks.
• Experience with GitHub GitHub Actions CI/CD pipelines Terraform and DevOps methodologies.
• Practical experience supporting AI/ML initiatives through feature engineering data preparation and scalable data pipelines.
• Exposure to Generative AI technologies including Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) prompt engineering and AI-assisted development tools.
• Experience working with healthcare datasets including claims pharmacy provider member and eligibility data.
• Strong understanding of data governance privacy security compliance and enterprise data management best practices.
• Experience with Agile methodologies Scrum teams Rally and ServiceNow.
• Excellent problem-solving stakeholder management analytical thinking and communication skills.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties flexible work hours and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life personal accident and Mediclaim hospitalization for self spouse two children and parents

Values-Driven People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals including those with disabilities and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements please inform us during the application process or at any time during your employment

Lets unleash your full potential at Persistent- is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.