Senior Associate, Data Engineer – AI and Automation

Pfizer; New York (NY); Hybrid; USD 80,000 - 134,000; Full time

Job summary

An established industry player is seeking a Senior Associate, Data Engineer to join their innovative team. This role involves developing cutting-edge AI models and optimizing data solutions to enhance efficiency in data analytics and supply chain processes. You will collaborate with various teams, utilizing your expertise in data engineering and machine learning to drive impactful results. The position offers a hybrid work environment, competitive salary, and comprehensive benefits, making it an exciting opportunity for those passionate about technology and healthcare innovation. Join this forward-thinking organization to make a difference in patient outcomes!

Benefits

401(k) plan with matching contributions

Paid vacation and holidays

Health benefits including medical, dental, and vision

Paid caregiver/parental leave

Relocation assistance

Participation in performance bonus plan

Qualifications

• 3+ years of experience in Data Engineering and Data Warehousing.
• Experience in AI and machine learning model development is essential.

Responsibilities

• Develop and optimize AI models for data analytics and supply chain solutions.
• Collaborate with teams to enhance data quality and consistency.

Skills

Data Engineering

Artificial Intelligence

Machine Learning

Data Modeling

Python

SQL

Cloud Data Platforms

Big Data Technologies

Data Integration

API Development

Education

Bachelor's or Master's in Computer Science

Degree in Artificial Intelligence or Machine Learning

Tools

AWS

Google Cloud Platform

Apache NiFi

Talend

Docker

Kubernetes

Apache Spark

Kafka

Amazon Redshift

Snowflake

Job description

Senior Associate, Data Engineer – AI and Automation

Senior Associate, Data Engineer – AI and Automation

Apply locations: United States - New York - New York City, United States - Pennsylvania - Collegeville, Ireland - Dublin - Grange Castle, Ireland - Cork - Ringaskiddy

Time type: Full time

Posted on: Posted Today

Job requisition id: 4933119

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. You 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 Pfizer Global Supply 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

• A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.
• Over 3 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.
• Over 1 year 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.

PHYSICAL/MENTAL REQUIREMENTS

NA

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Occasional travel may be required.

Work Location Assignment: Hybrid

The annual base salary for this position ranges from $80,300.00 to $133,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% 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.

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

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.

About Us

Pfizer careers are like no other. In our culture of individual ownership, we believe in our ability to improve future healthcare, and potential to transform millions of lives. We’re looking for new talent to join our global community, to unearth new innovative therapies that make the world a healthier place.