Senior Data Engineer, Snowflake, AWS

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and manage enterprise-level data pipelines on the Snowflake Data Platform.

• Create and sustain cloud-native AI/ML solutions utilizing AWS and Azure.

• Execute data quality, observability, lineage, and governance practices.

• Integrate biotech systems such as MES, LIMS, SCADA, ERP, and QMS into a unified data platform.

• Collaborate with product managers, product engineers, platform architects, and business stakeholders.

• Support AI functionalities including model deployment, monitoring, and data readiness.

• Enhance the performance, scalability, and cost-effectiveness of the data platform.

• Partner with cybersecurity and compliance teams to ensure compliance with GxP, FDA 21 CFR Part 11, and data privacy regulations.

• Advocate for CI/CD practices, testing, documentation, and peer reviews.

• Monitor emerging technologies like data mesh, real-time streaming, digital twins, and generative AI platforms.

• Provide support for all FUJIFILM Biotechnologies locations worldwide.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, AI/ML Engineering, or a related discipline.

• Over 7 years of professional experience in data engineering, AI/ML engineering, or cloud platform engineering.

• Hands-on experience in designing and developing Snowflake data solutions, including data modeling, performance optimization, and cost-effective usage.

• Experience in constructing and maintaining data pipelines with contemporary frameworks such as Airflow and dbt.

• Proficiency with Airflow or a comparable orchestration tool.

• Familiarity with Docker/Kubernetes for container orchestration, monitoring, and lifecycle management.

• Experience with modern AI technologies, including LLMs, embeddings, and vector databases.

• Strong SQL skills and experience in data modeling for analytics and AI applications.

• Extensive experience with AWS and Azure.

• Proven track record in delivering production-grade data solutions.

• Understanding of biotech or life sciences systems and regulatory compliance frameworks such as GxP, FDA, and EMA.

• Strong programming skills in Python and SQL/dbt.

• Knowledge of data quality management, observability, lineage, and governance.

• Familiarity with biotech IT/OT systems, including MES, LIMS, and SCADA.

• Excellent problem-solving, optimization, and troubleshooting capabilities for large-scale data systems.

• Effective communication skills with both technical and non-technical stakeholders, including the ability to influence at senior levels.

• A passion for emerging technologies, continuous improvement, and fostering innovative engineering cultures.

🏝️ Benefits

• Medical, dental, vision, and prescription drug coverage.

• Health Savings Account with company contributions.

• Industry-leading 401(k) savings plan.

• Insurance coverage.

• Employee assistance programs.

• Various wellness incentives.

• Paid vacation time.

• Sick leave.

• Company holidays.

• A supportive environment for personal and professional growth.

• Benefits and compensation are determined by the employee’s home-site location.