Solution Engineer, Data Engineering (Manager)

Pfizer’s 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. You’ll 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: 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 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 $99,200.00 to $165,400.00.* In addition, this position is eligible for participation in Pfizer’s 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 life’s 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 | (uscandidates.mypfizerbenefits.com). 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 $89,400.00 to $149,000.00. 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. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected] . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers . 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