Snowflake Data Engineer

DATA ENGINEER Location: Remote | Type: Contract About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIO Review. As a remote-first company, we foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives. Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize. Your Mission As a Snowflake Data Engineer, your mission is to design and implement robust, scalable, and high-performing data pipelines that empower business teams with reliable, timely, and secure data. You’ll work across cloud and on-prem environments to integrate diverse data sources, optimize Snowflake performance, and enable advanced analytics and reporting. Your expertise in SQL, Python/R, and modern ETL frameworks will help transform raw data into actionable insights, driving smarter decisions across the organization. What You’ll Do - Design and implement high-quality ETL/ELT data pipelines in Snowflake using python, R or sql scripting. - Develop and maintain data models, schemas, and warehouse structures optimized for performance and scalability. - Integrate Snowflake with various cloud and on-prem sources via APIs, connectors, and data ingestion frameworks. - Collaborate with Data Scientists, Analysts, and BI teams to provide reliable, timely data for reporting and analytics. - Manage and optimize warehouse compute resources, query performance, and cost efficiency. - Implement robust data governance and quality frameworks, including security, privacy, and compliance standards. - Support and maintain CI/CD pipelines for data workflows (Github). - Troubleshoot complex data issues and recommend process improvements to enhance data reliability. What You Bring - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. - 5-7 years of experience in Data Engineering. - 3+ years of hands-on experience in Snowflake design, development, and optimization. - Strong expertise in SQL, data modelling (3NF, star schema, data vault), and performance tuning. - Proficiency in Python, R or SQL scripting for automation and data transformation. - Experience with ETL/ELT orchestration tools (Airflow, dbt or equivalent). - Familiarity with cloud platforms like AWS, Azure, or GCP, and their native data ecosystems. - Understanding of data governance, access control (RBAC), and encryption in Snowflake. - Strong analytical mindset with the ability to translate business requirements into technical solutions. What We Offer At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer: - A people-first culture – Supportive peers, open communication, and a strong sense of belonging. - Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges. - Balance that lasts – We respect your time and support a healthy integration of work and life. - Room to grow – Opportunities for learning, leadership, and career development, shaped around you. - Meaningful rewards – Competitive compensation that recognizes both contribution and potential. Ready to Apply? Let’s build the future of health together. Apply below or reach out to Shubhi.tiwari@newpage.com with any questions.