Pfizer

You are skilled in a broad set of ETL/Big Data processing techniques and will lead the architecture, design and implementation of scalable, extensible, and highly available data ETL pipelines on large volume data sets, which will enable actionable insights and ML workloads across Pfizer’s Commercial business.. Ph. D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team.. Expert-level expertise in SQL, Python, Scala or similar; other object-oriented programming experience a plus Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts – a key requirement for successful collaboration with data architects and visualization developers.. Expert-level professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc.. Expert-level knowledge and experience in implementing software engineering security best practices and contributing to design/engineering for SecOps. Expert-level experience with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets.

data engineer

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 individual contributor Director of Analytics Engineering that will serve as an experienced and dynamic Staff Analytics DataEngineer within our Agile Analytics Engineering team. Tasked with the critical mission of crafting data products that drive Pfizer's Marketing priorities, this role leadsend to end build of data products from deployment to production/release management while upholding 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 for this role will possess a unique combination of technical expertise, strategic vision, and collaborative skills. They will have a proven track record of influencing the technical direction of engineering teams to build data products and solutions that drive business value. With a deep understanding of data engineering principles and technologies, along with a self-motivated problem-solving approach, they will lead software/data engineering projects, and mentoring teams. You are skilled in a broad set of ETL/Big Data processing techniques and will lead the architecture, design and implementation of scalable, extensible, and highly available data ETL pipelines on large volume data sets, which will enable actionable insights and ML workloads across Pfizer’s Commercial business.Data Pipeline Development & OptimizationLead and own end-to-end strategic data projects Architect, design and build scalable data pipelines that will churn out reliable and high-quality analytics data products. Solve complex data challenges to meet the needs of a highly dynamic business.Lead design reviews and contribute to development and design standards.Refine development processes and workflows. Diagnose and resolve complex performance bottlenecks in data processing pipelines and code to enable improved data availability SLAs. Translate business requirements in partnership with product management into data and engineering specifications.Analyze technical debt, legacy architectures, and work with other leads on re-platforming efforts. Collaboration, Partnership, and Mentoring Collaborate with senior leadership, internal and external business partners to align onobjectives and line-level deliverables.Architect, lead and build test automation tools and frameworks to test pipelines. Partner with Pfizer Digital Engineering team and identify server APIs that need to be refactored or customized for data analytics and reporting and align the server events for execution in already established data pipelines.In collaboration with senior leadership, partner with the Platform/Digital and DevOps team to specify platform/tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the commercial analytics engineering organization.Mentor junior engineers on best practices in design, development, and automation.Domain Knowledge and StandardsRamp up quickly in understanding the data sources required for data products and the purpose of commercial analytics in a pharma setting.Prioritize excellence in data engineering by following F.A.I.R. principals and adheres to engineering and documentation standards set in the organization. Agile Practices and DeploymentLead deployments to production and ensure the team is following agile best practices in the team working agreement.Ensure the team adheres to agile principle.QualificationsBachelor’s degree (Master’s or PhD a plus) in computer science, engineering, or related field. Ph.D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team. Recent Healthcare Life Sciences (pharma preferred) and ecosystem professional industry experience is preferred, commercial/marketing experience is a plus. Technical SkillsetExpert-level understanding of Agile, SDCL, CI/CD, DevOps, GitOps, and ProdOps is required.Expert-level expertise in SQL, Python, Scala or similar; other object-oriented programming experience a plus Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts – a key requirement for successful collaboration with data architects and visualization developers. Expert-level professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc. Expert-level professional hands-on experience with data warehousing/RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.Expert-level knowledge and experience in implementing software engineering security best practices and contributing to design/engineering for SecOps. Expert-level experience with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets.Must have experience managing deployment and leading the release of code to production.Expert-level understanding of data visualization tools and requirements for business customers. Expert-level experience working in agile setting or being an agile best-practice mentor. Expert-level experience working in Jira, confluence, and contributing to engineering team documentation/playbooks. Proven experience influencing and partnering with product management, TPMs in translating business requirements into data and engineering specifications. CompetenciesTeam Mentorship: Influencing multiple data engineering teams, mentoring managers, and setting team objectives.Strategic Vision: Ability to shape and steer the data strategy at an organizational level.Influencing without Authority: Leading multiple teams, fostering leadership in others, setting departmental goals, and ensuring alignment with the company's objectives.Innovation Management: Spearheading innovation in data practices, technologies, and methodologies.Stakeholder Management: Engaging with senior stakeholders, negotiating with external partners, and influencing the strategic direction of the business.Budgeting and Forecasting: Managing large budgets, resource allocation, and financial forecasting for data projects.Risk Management: Identifying and mitigating risks at an organizational level.Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.Relocation support availableWork Location Assignment: FlexibleThe annual base salary for this position ranges from $149,200.00 to $248,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% 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 ActPfizer 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 EligibilityPfizer 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.Marketing and Market Research#LI-PFE

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