[Hiring] Senior Data Engineer, Snowflake & AWS @Fujifilm

Role Description

The Senior Data/AI Engineer is responsible for designing, building, and maintaining efficient, scalable data pipelines and architectures that power data products, analytics, and AI-driven solutions.

• Apply and advocate for data and AI engineering best practices, including:
  • Idempotent modular pipeline design
  • Version control
  • Automated testing
  • CI/CD
  • IaaS
  • Data quality checks and observability
• Establish and continuously improve standards for data and AI solutions.
• Work closely with cross-functional teams of business and IT peers.
• Lead by example, balancing delivery speed of new features with long-term platform health and technical excellence.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, AI/ML Engineering, or related field.
• 7+ years of professional experience in data engineering, AI/ML engineering, or cloud platform engineering.
• Hands-on experience designing and developing data solutions on Snowflake, including data modelling, performance optimization, and cost-efficient usage.
• Experience building and maintaining data pipelines using modern frameworks (e.g., Airflow, dbt).
• Experience with Airflow or similar orchestration tool.
• Experience 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 with data modelling for analytics and AI use cases.
• Strong experience with cloud platforms (AWS, Azure).
• Proven experience delivering production-grade data solutions.
• Familiarity with biotech or life sciences systems and regulatory compliance frameworks (GxP, FDA, EMA).

Requirements

• Design and implementation of scalable batch and streaming data pipelines.
• Strong programming proficiency in Python and SQL/dbt for data processing, automation, and analytics.
• Containerization and deployment of data and AI workloads using Docker.
• Orchestration and operation of containerized workloads using Kubernetes.
• Data quality management, observability, lineage, and governance.
• Knowledge of biotech IT/OT systems (MES, LIMS, SCADA) and compliance frameworks (GxP, FDA, data privacy).
• Strong problem-solving, optimization, and troubleshooting skills for large-scale data systems.
• Effective communication with both technical and non-technical stakeholders, influencing at senior levels.
• Passion for emerging technologies, continuous improvement, and building innovative engineering cultures.

Benefits

• Medical, dental, vision, and prescription drug coverage with the option of a Health Savings Account with company contributions.
• Industry-leading 401(k) savings plan.
• Insurance coverage and employee assistance programs.
• Various wellness incentives.
• Paid vacation time, sick time, and company holidays.