Cloud Data Engineer

About the Role The Cloud Data Engineer will be a subject-matter expert responsible for designing and implementing scalable cloud data architectures using Snowflake and Azure, across the data lifecycle and collaborating with cross functional teams. The role involves hands-on development, optimization, security, and mentoring peers to improve data workflows. What You'll Do

• Design and implement scalable cloud data architectures using Snowflake and Azure.
• Configure Snowflake environments including warehouses, roles, resource monitors, and data sharing.
• Work with Azure services such as Azure Data Factory, Blob Storage, Data Lake Storage, Key Vault, and Active Directory.
• Collaborate with data engineers to design and optimize ELT/ETL pipelines.
• Optimize Snowflake performance through clustering, partitioning, query tuning, and warehouse sizing.
• Implement role based access control within Snowflake and Azure.
• Support data security strategies including encryption, masking, and row/column level security.
• Monitor performance and cost usage in Snowflake and Azure; support cost optimization and scaling.
• Troubleshoot data load and performance issues.
• Document architecture designs, data flows, and standards.
• Collaborate with enterprise architects, BI teams, and security teams; participate in design reviews. What We're Looking For
• Education: 4 year college degree in computer science or information systems preferred or equivalent experience.
• Experience: 4+ years in enterprise data warehouse; 2+ years cloud data engineering or cloud platform support; 4+ years data architecture and data marts.
• Skills: Understanding of cloud networking basics such as VNet and private endpoints; Snowflake data loading and SQL; Azure Data Factory, Blob Storage and IAM concepts; CI/CD/DevOps familiarity.
• 4+ years of experience writing complex SQL.
• Strong analytical, problem solving, negotiation, issue resolution, and communication skills.
• Experience with data sources including 3rd party RDBMS such as SQL Server and Oracle.
• QA/QC testing experience a plus; project management experience a plus.
• Experience with research data models like OMOP and CAPriCORN a plus.
• Experience with BI tools such as Power BI a plus.
• Healthcare industry familiarity is a plus. Nice to Have
• Healthcare domain knowledge and Power BI experience; OMOP or CAPriCORN familiarity. Compensation & Benefits
• Salary: 41.64 to 64.54 USD per hour.
• Incentive pay for select positions; annual increases based on performance.
• Career pathways and professional development opportunities.
• Medical, Dental, Vision, and Pet insurance options; Tuition reimbursement.
• Free parking; Wellness program savings plan; Health Savings Account options.
• Retirement with company match; Paid time off and holiday pay.
• Community involvement opportunities.