[Remote] Solution Engineer, Data Engineering (Manager)

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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

  • Pfizer is a biopharmaceutical company that discovers, develops, and delivers medicines and vaccines. It was founded in 1849, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is http://www.pfizer.com.

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