Job Description

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.

Skills Required