Senior Associate, Data Engineer – AI 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.

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.

Qualifications

• Required: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning or related; at least 2 years of experience as a Data Engineer, Data Architect, or in Data Warehousing/Modeling/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 with 8 years of relevant experience.
• Required: Over 1 year of experience in AI, machine learning, and large language models (LLMs) development and deployment.
• Preferred: Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting.
• Required: Strong understanding of data structures, algorithms, and software design principles.
• Required: Programming languages — Python, SQL, and familiarity with Java or Scala.
• Required: Big Data Technologies — familiarity with Hadoop, Spark, and Kafka for big data processing.

Preferred Qualifications

• Data Warehousing experience with Amazon Redshift, Google BigQuery, or Snowflake.
• ETL Tools knowledge such as Apache NiFi, Talend, or Informatica.
• Cloud Platforms experience with AWS, Azure, or Google Cloud Platform (GCP).
• Containerization understanding of Docker and Kubernetes.
• AI and Automation experience with tools like Apache Airflow or Prefect; ability to use GenAI or Agents to augment data engineering practices.
• Data Integration skills across APIs, databases, and external files.
• Data Modeling knowledge including graph technologies like Neo4j or Amazon Neptune.
• Structured data handling in relational databases, data warehouses, and spreadsheets.
• Unstructured data experience (text, images, logs) and tools like Apache Solr or Elasticsearch.
• Data Excellence concepts including data governance, data quality management, and data stewardship.

Education

• N/A

Additional Requirements

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