Description

ROLE SUMMARY

The Analytics Engineering team in the Commercial Analytics & AI (CAAI) organization serves as the backbone of our data-driven organization, delivering the foundation upon which transformative insights and innovation thrive. With a focus on integration, curation, and quality assurance across diverse data sources, coupled with our expertise in managing data infrastructure and crafting impactful visualizations, we’re not just enabling analytics – we’re powering world-class solutions that propel Pfizer’s mission forward. Join us in shaping the future of advanced analytics and make a meaningful impact on a global scale.

We are looking for an experienced Data Engineer for our Commercial Analytics Engineering team, who will report to the Director / Team Lead of Commercial Analytics Engineering in an agile engineering team. The Analytics Engineers are responsible for building data products that enables the marketing business for Pfizer, owning deployments to production/release management, ensuring best in class processes and deliverables.

The team charter includes supporting Data Science and Insight & Strategy partner organizations across the entire data journey from Descriptive to Predictive with key responsibilities for data transformation, creation of consumption-ready data products to be used for visualization across the Commercial business.

The ideal candidate is a passionate and results-oriented data engineer with a proven track record of building data pipelines, data products, and tools to craft the future. A self-motived problem solver and team player, you will have software development or data engineering delivery experience in a previous position.

You are skilled in a broad set of ETL/Big Data processing techniques and development workflows with the ability to adapt and learn quickly to evolving platform architecture. You will assist in designing and implementing scalable, optimized, and secure data pipelines on large volume data sets that will enable actionable insights, strategy, and ML workloads across Pfizer’s Commercial business.

Data Pipeline Development

  • Build data pipelines that will churn out reliable and high-quality analytics data products based on specifications from available data sources and can report progress to leadership while proactively mitigating day-to-day issues.

  • You are responsible for code deployments to production and are following agile best practices in the team working agreement.

Collaboration, Partnership, and Mentoring

  • Collaborate with engineers in the team on design, testing and implementation of efficient data systems, compute utilization and code tuning opportunities.

  • Contribute to building test automation tools and frameworks to test pipelines.

  • Partner with enterprise Digital Engineering team to identify or code APIs that need to be instrumented for data analytics and reporting and align with already established data pipelines.

Domain Knowledge and Standards

  • Analyze technical debt, legacy architectures, and work with other leads on optimizing design and re-platforming efforts.

  • Ramp up quickly in understanding data sources required for data products and the goals of Commercial Analytics in a Pharma business.

  • Work hand in hand with the Platform/Digital and DevOps team to follow platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.

Qualifications

  • Bachelor’s degree (Master’s degree a plus) preferably in computer science, engineering, or related field.

  • 5+ years of backend software or data engineering experience with at least 2 years of experience as a data engineer on a development scrum team.

  • Recent Healthcare Life Sciences (pharma preferred) and ecosystem professional industry experience is preferred, commercial/marketing experience is a plus.

Technical Skillset

  • Strong understanding of Agile, SDLC, CI/CD, DevOps, GitOps, and ProdOps is required.

  • Deep expertise in SQL, Python, Scala or similar; other object-oriented programming languages.

  • Experience in data types/formats, data architecture, data modeling, data contracts as required for successful collaboration with data architects and visualization developers.

  • Deep hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, AutoSys or others.

  • Deep professional hands-on experience with data warehousing/RDBMS, ETL scripting tools, and IDEs.

  • Understanding of software engineering security best practices, demonstrate ability to follow requirements defined by the organization, and contribute to design/engineering for SecOps.

  • Mastery of master data management, rules-based data engines, and tools for multi-stage data correlation across large data sets

  • Must have experience managing deployment and release of code to production.

  • Thorough understanding of data visualization tools and requirements.

  • Experience working in agile setting or bring agile best-practice mentorship to the team.

  • Must have experience working in Jira and Confluence, and actively contribute to engineering team documentation and playbooks.

  • Familiarity with data privacy standards, pharma industry practices/FDA compliance is required.

  • Prioritizes excellence in data engineering by following F.A.I.R. principles and adheres to engineering and documentation standards set for by the organization.

Competencies

  • Execution: Ensuring the successful execution of projects, managing timelines, and deliverables.

  • Technical Leadership: Deep understanding of data engineering principles, tools, and practices; influencing the team in technical decisions.

  • Collaboration: Working closely with other departments, understanding their data needs, and delivering solutions that meet these needs.

  • Performance Monitoring: Monitoring team performance, providing feedback, and ensuring high standards of work.

This position is for an individual contributor role.

Work Location Assignment: Flexible

The annual base salary for this position ranges from $93,500.00 to $155,900.00. 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.

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.

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