Senior associate data engineer - and automation

Role Summary

Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.

Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.

Role Responsibilities

• Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes. Create test plans, test scripts, and perform data validation.
• Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.
• Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.
• Ability to collaborate with contractors to deliver technical enhancements.
• Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.
• Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.
• Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.
• Conduct root cause analysis and address production data issues.
• Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.
• Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.
• Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.
• Document and present findings, methodologies, and project outcomes to various stakeholders.
• Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.
• Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.
  
  

Basic Qualifications

• Applicant must have a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning or a related discipline with at least 2 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations; OR a master's degree with more than 0+ years of experience; OR an associate's degree with 6 years of experience; OR a high school diploma (or equivalent) and 8 years of relevant experience.
• Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.
• Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.
• Strong understanding of data structures, algorithms, and software design principles
• Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.
• Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.
  
  

Preferred Qualifications

• Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
• ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.
• Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.
• AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices
• Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.
• Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.
• Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.
• Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.
• Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.
  
  

Other Job Details:

• Last Date to Apply for Job: November 14, 2025
• Work Location Assignment: Hybrid. Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.
  
  

The annual base salary for this position ranges from $69,400.00 to $115,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7.5% of the base salary. 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 applies to the Tampa, FL location only. The salary range provided does not apply to any other United States location or locations outside of the United States.

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

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 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.

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