Snowflake Engineer
Listed on 2026-06-27
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IT/Tech
Data Engineering, Data Warehousing
Senior Snowflake Developer
Location:
Boston, Massachusetts (Hybrid)
Open Kyber is seeking a Senior Snowflake Developer on behalf of our client in Boston, MA. We are looking for an experienced data engineering professional to design, develop, and support a cloud-based data warehouse environment that powers critical business operations and data-driven decision‑making. The ideal candidate will bring deep expertise in Snowflake architecture, ETL/ELT development, cloud technologies, SQL optimization, and automation to help build scalable and secure data solutions.
This is an excellent opportunity to work on high‑impact initiatives in a collaborative environment while contributing to the development of modern, enterprise‑grade data platforms.
- Design, develop, and maintain scalable Snowflake data warehouse solutions to support enterprise data initiatives.
- Build, optimize, and manage ETL/ELT pipelines for seamless internal and external data integration.
- Develop Python‑based automation for data ingestion, transformation, validation, and quality control processes.
- Ensure high standards of data quality, integrity, security, and compliance across the data ecosystem.
- Optimize Snowflake performance, scalability, and reliability through best practices and performance tuning.
- Develop reports, dashboards, and analytical solutions leveraging Snowflake and visualization platforms.
- Collaborate closely with business stakeholders, analysts, and technical teams to gather requirements and deliver impactful data solutions.
- Maintain technical documentation and participate in peer code reviews to support development best practices.
- Mentor junior team members and provide technical leadership and guidance.
- 8+ years of experience in Snowflake data warehouse development, management, or data engineering.
- Strong expertise in Snowflake architecture, data modeling, and modern data warehousing concepts.
- Advanced SQL proficiency, including query optimization and performance tuning in Snowflake environments.
- Hands‑on experience with Snowflake capabilities such as cloning, time travel, data sharing, and micro‑partitioning.
- Expertise in Snowflake security, including RBAC, data masking, encryption, and governance best practices.
- Strong experience with ETL/ELT frameworks and data integration tools.
- Proficiency in Python or scripting for automation and data processing.
- Experience working with cloud platforms such as AWS and Azure.
- Familiarity with cloud services including AWS Glue, DMS, S3, and App Flow.
- Experience integrating Snowflake with business intelligence platforms, CRM systems, and third‑party APIs.
- Strong analytical, communication, and problem‑solving skills.
- Ability to thrive in a collaborative, cross‑functional environment.
- Snowflake certifications such as Snow Pro Advanced Architect or Snow Pro Data Engineering.
- Experience building complex data pipelines in multi‑cloud environments.
- Knowledge of CI/CD practices and deployment tools.
- Experience using version control and project collaboration tools such as Git Hub and JIRA.
- Familiarity with data masking strategies and privacy risk reduction methodologies.
- Prior experience supporting highly regulated or public‑sector environments is a plus.
For applications and inquiries, contact:
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