[Remote] Solution Engineer, Data Engineering (Manager)

Note: The job is a remote job and is open to candidates in USA. Pfizer is a science and innovation-focused pharmaceutical company working to deliver breakthroughs that change patients’ lives. The Solution Engineer, Data Engineering (Manager) will build and operate secure, cloud-native data pipelines and products, collaborating with scientific, engineering, analytics, and product teams to deliver reliable, governed data solutions for analytics and AI/ML use cases.

Responsibilities

• Develop and maintain cloud-native data pipelines for batch and streaming ingestion, ensuring reliability, scalability, and maintainability
• Develop transformation and modeling patterns (e.g., dimensional, wide, and domain-oriented models) that enable analytics and AI/ML use cases
• Build and operate orchestration workflows with strong operational discipline (versioning, testing, promotion, rollback, and runbooks)
• Embed data quality, lineage, and observability into pipelines and datasets (automated checks, monitoring/alerting, and incident response practices)
• Implement secure data access patterns (IAM/RBAC, secrets management, encryption, auditing) aligned to enterprise and regulatory requirements
• Optimize performance and cost across compute and storage through tuning, partitioning/layout strategies, and transparent cost visibility
• Collaborate with stakeholders (scientists, analysts, data scientists, and engineers) to translate requirements into production solutions and iterate based on feedback
• Contribute to reusable standards, templates, and self-service enablement (documentation, examples, onboarding materials) to scale adoption
• Stay current with new technologies and best practices, proactively seeking opportunities for skill development and knowledge sharing

Skills

• **Education:** Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Data Engineering, Bioinformatics, Engineering, or related discipline)
• 4+ years of experience in data engineering, software engineering, or closely related roles
• Strong proficiency in Python and SQL for data processing, automation, and testing
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and cloud-native storage/compute services
• Experience with one or more modern data processing or lakehouse/warehouse technologies (e.g., Spark, Databricks, Snowflake, Redshift, Delta Lake, Iceberg)
• Experience with workflow orchestration and scheduling (e.g., Airflow) and CI/CD using Git-based workflows
• Strong understanding of data modeling, data integration patterns, and software engineering best practices (code review, testing, documentation)
• Working knowledge of security best practices for data platforms (IAM, secrets management, encryption, least privilege) and operating in regulated environments
• Strong problem-solving skills and eagerness to learn in a collaborative environment
• Fluent in English; capable of clear technical communication across scientific and engineering disciplines
• Candidates must be authorized to be employed in the U.S. by any employer
• This position requires permanent work authorization in the United States
• Experience building streaming or event-driven pipelines (e.g., Kafka, Kinesis, Event Hubs)
• Experience with transformation frameworks and automated data quality tooling
• Experience with observability practices for data systems (metrics/logs/traces; OpenTelemetry, Prometheus/Grafana, ELK)
• Experience with Infrastructure-as-Code and platform tooling (Terraform, Helm, Kubernetes) to enable reproducible environments
• Experience working in regulated/compliance frameworks (e.g., GxP, SOC2, HIPAA) and implementing audit-ready delivery practices
• Experience partnering with product and domain teams to deliver ‘data-as-a-product' with clear ownership, documentation, and SLAs/SLOs
• Experience with and strong understanding of the software development lifecycle
• Experience working in team-based environments, either professionally or academically

Benefits

• Eligibility for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary
• Eligibility to participate in Pfizer’s share based long term incentive program
• A 401(k) plan with Pfizer Matching Contributions
• An additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Medical, prescription drug, dental and vision coverage
• Hybrid work location assignment
• Relocation assistance may be available based on business needs and/or eligibility

Company Overview