Senior Data Engineer - Snowflake

Architect and deploy end-to-end enterprise data pipelines within the Snowflake cloud ecosystem. Develop high-performance SQL transformation logic to support business intelligence and analytics requirements. Implement near real-time data ingestion workstreams utilizing Kafka-based streaming patterns. Lead the modernization of legacy EDW processes by transitioning workloads to cloud-native Snowflake architectures. Remediate technical debt by optimizing existing Snowflake workloads for enhanced reliability and scale. Design automated observability solutions to improve the transparency and quality of the enterprise data platform. Utilize AI coding agents to accelerate development cycles, testing, and technical documentation production. Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

7+ years of professional experience in data engineering or enterprise data development roles. Proficiency in advanced SQL for architecting complex data transformations and large-scale analytical datasets. Experience with Snowflake production environments including workload optimization and cloud data modeling. Experience in Kafka for implementing near real-time streaming and event-driven data ingestion patterns. Experience with AI-assisted development tools such as Claude Code, Snowflake Cortex, or GitHub Copilot. Experience with CI/CD pipelines, automated testing, and establishing data observability frameworks. Excellent verbal and written communication skills for partnering with business and analytics stakeholders.