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.