Senior Data Engineer, Snowflake, AWS

FUJIFILM Corporation

Senior Data/AI Engineer building Snowflake pipelines and cloud AI/ML solutions for Fujifilm Biotechnologies. Supporting global biopharmaceutical manufacturing, analytics, and regulatory data systems.

Posted 8/14/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $120,000 - $198,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining enterprise-scale data pipelines on Snowflake and cloud-native AI/ML solutions using AWS and Azure, while ensuring compliance with GxP and FDA regulations. Proficient in data quality management, observability, and governance practices, with strong programming skills in Python and SQL.

Highest-signal resume keywords

Snowflake Data SolutionsAWS Cloud PlatformAzure Cloud PlatformData Pipeline DevelopmentGxP Compliance

ATS Keywords

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Hard Skills

Data EngineeringAI/ML EngineeringSQLPythonData ModelingPerformance OptimizationAirflowDockerKubernetesData Quality Management

Soft Skills

Effective CommunicationProblem-SolvingCollaborationContinuous ImprovementInfluencing Stakeholders

Tools & Technologies

SnowflakeAWSAzureAirflowDockerKubernetesLIMSMESSCADAQMS

Industry Keywords

BiotechLife SciencesGxPFDAEMAData GovernanceData LineageObservabilityAI TechnologiesEmerging Technologies

Tech Stack

Tools & technologies

AirflowAWSAzureCloudCyber SecurityDockerERPKubernetesPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain enterprise-scale data pipelines on Snowflake Data Platform
Design, build, and maintain cloud-native AI/ML solutions using AWS and Azure
Implement data quality, observability, lineage, and governance practices
Integrate biotech systems including MES, LIMS, SCADA, ERP, and QMS into a centralized data platform
Collaborate with product managers, product engineers, platform architects, and business stakeholders
Support AI capabilities including model deployment, monitoring, and data readiness
Optimize data-platform performance, scalability, and cost efficiency
Partner with cybersecurity and compliance teams to ensure adherence to GxP, FDA 21 CFR Part 11, and data privacy regulations
Promote CI/CD, testing, documentation, and peer reviews
Track emerging technologies such as data mesh, real-time streaming, digital twins, and generative AI platforms
Support all FUJIFILM Biotechnologies sites globally

Requirements

What you’ll need

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 Snowflake data solutions, including data modeling, performance optimization, and cost-efficient usage
Experience building and maintaining data pipelines with modern frameworks such as Airflow and dbt
Experience with Airflow or a 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 data modeling experience for analytics and AI use cases
Strong experience with AWS and Azure
Proven experience delivering production-grade data solutions
Familiarity with biotech or life sciences systems and regulatory compliance frameworks including GxP, FDA, and EMA
Strong programming proficiency in Python and SQL/dbt
Knowledge of data quality management, observability, lineage, and governance
Knowledge of biotech IT/OT systems including MES, LIMS, and SCADA
Strong problem-solving, optimization, and troubleshooting skills for large-scale data systems
Effective communication with technical and non-technical stakeholders, including influencing at senior levels
Passion for emerging technologies, continuous improvement, and innovative engineering cultures

Benefits

Comp & perks

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 time
Company holidays
Supportive environment for personal and professional growth
Benefits and compensation governed by the employee’s home-site location