Solution Engineer, Data Engineering (Manager)

Pfizers mission to deliver breakthroughs that change patients lives is rooted in our commitment to science and innovation. Within Discovery Preclinical and Translational Solutions (DP&TS) we work to shorten the path from target identification to clinical translation with better software data and AI.

We are building a modern cloud-native data engineering capability that delivers trusted reusable and compliant data products at scale. As a Solution Engineer Data Engineering you will work hands-on across ingestion transformation and delivery helping scientific and digital teams turn complex data needs into reliable well-governed datasets and pipelines.

You will report to the Principal Engineer Data Engineering and work day to day with platform engineers domain teams data scientists and product partners. The team values ownership and practical engineering and the solutions you ship are expected to be secure by design observable and ready for production in regulated environments.

What Your Typical Day Will Look Like

Your day may include pairing with a domain team to define a new dataset or data product implementing or refining pipelines (batch and/or streaming) reviewing pull requests improving data quality checks and observability dashboards and troubleshooting a production issue with clear runbooks and root-cause follow-up. Youll ship changes through CI/CD document what you build and continuously improve patterns and tooling so others can move faster with less friction.

Key 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

BASIC QUALIFICATIONS

Education: Bachelors 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

PREFERRED QUALIFICATIONS

• 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

Work Location Assignment:Hybrid

Last Date to Apply for Job: 9/2/2026

The annual base salary for this position ranges from $99200.00 to $165400.00.* In addition this position is eligible for participation in Pfizers Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of lifes moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution paid vacation holiday and personal days paid caregiver/parental and medical leave and health benefits to include medical prescription drug dental and vision coverage. Learn more at Pfizer Candidate Site U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa FL or any location outside of the United States. * The annual base salary for this position in Tampa FL ranges from $89400.00 to $149000.00. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply your Talent Advisor will share the local pay information with you during the first interview.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN O-1 H-1B etc.) is not available for this role now or in the future.

To learn more about acceptable and prohibited uses of AI during the recruitment process please review our candidate AI-use guidelines available onPfizer Careers.

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