Senior Snowflake Data Engineer

• Design, develop, and maintain scalable, high-performance data pipelines and ETL/ELT workflows using Snowflake and modern data engineering best practices
• Architect and optimize Snowflake data models, including schema design, data clustering, performance tuning, and cost optimization
• Collaborate closely with data analysts, data scientists, product teams, and business stakeholders to convert clear requirements into robust data engineering solutions
• Troubleshoot and resolve issues related to data accuracy, performance, and pipeline reliability
• Contribute to architectural decisions, development standards, and overall platform strategy
• Work independently on complex tasks while also contributing to a collaborative, team-oriented environment

• 7+ years of professional experience in Data Engineering or related fields
• 5+ years of hands-on experience with Snowflake, including Snowflake SQL, Snowflake Tasks, Streams, Warehouses, RBAC, Clustering, and Performance Optimization
• Strong expertise in SQL, modern ETL/ELT frameworks, and data pipeline development
• Experience in building and maintaining enterprise Data Lakes and/or Data Warehouses
• Experience with cloud platforms such as Azure or AWS
• Proficiency in Python for data engineering
• Familiarity with orchestration tools such as Azure Data Factory and/or Airflow
• Solid understanding of data modeling, data warehousing principles, and distributed data systems
• Proven ability to work independently, owning end-to-end solutions from requirement to deployment
• Excellent communication and teamwork skills, with the ability to work across technical and business teams
• Strong problem-solving abilities and critical thinking
• Ability to translate ambiguous or evolving requirements into structured technical solutions
• Collaborative mindset with the ability to mentor junior engineers
• Strong sense of ownership, accountability, and quality

Preferred Qualifications:

• SnowPro certification(s) a plus
• Experience with CI/CD pipelines for data engineering workloads
• Knowledge of Delta Lake, Databricks, Spark, or other big data processing frameworks
• Background in enterprise data platforms with high volumes and strict SLAs
• Experience implementing data governance, metadata management, and quality frameworks

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.