Job Information
Pfizer Senior Analytics Data Engineer in New York City, New York
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 Senior Analytics 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 senior-level data engineer with a proven track record of building and optimizing data pipelines, data products, and tools to craft the future. A self-motived problem solver and team player, you will have accomplished multiple backend software development or data engineering deliverables working independently 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 leading design and implementation of 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.
ROLE RESPONSIBILITIES
Data Pipeline Development
Build scalable data pipelines that will churn out reliable and high-quality analytics data products.
Design and deliver strategic business projects with complex data challenges to meet the needs of a highly dynamic and data driven business.
Implement scalable data systems, data designs and products based on specifications from available data sources and can report progress to leadership while proactively mitigating day-to-day issues.
Build test automation tools and frameworks to test pipelines.
Drive deployments to production and ensure the team is following agile best practices in the team working agreement.
Collaboration, Partnership, and Mentoring
Collaborate with our internal and external technical and business partners on design and implementation of efficient data systems; compute utilization and code tuning strategies included.
Lead and build 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.
Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify 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.
ROLE QUALIFICATIONS
Qualifications
Bachelor's degree (Master's a plus) preferably in computer science, engineering, or related field.
7+ years of backend software or data engineering experience with at least 2 years' experience as senior 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, SDCL, CI/CD, DevOps, GitOps, and ProdOps is required.
Extensive expertise in SQL, Python, Scala or similar; other object-oriented programming languages.
Experience in data types/formats, data architecture, pipeline optimization, data modeling, data contracts as required for successful collaboration with data architects and visualization developers.
Exceptional professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc.
Extensive professional hands-on experience with data warehousing/RDBMS, ETL scripting tools, and IDEs.
Extensive understanding and practice of Security - must be familiar with software engineering security best practices, demonstrate ability to follow requirements defined by the organization, and contribute to design/engineering for SecOps.
Expertise in 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.
Extensive understanding of data visualization tools and requirements.
Extensive 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
Strong Project Management Skills: Overseeing complex, cross-functional projects, ensuring delivery on time and within budget.
Technical Strategy: Contributing to the technical strategy and architecture decisions, ensuring scalability and performance of data solutions.
Collaboration: Influencing their data engineering team, working closely with other departments, understanding their data needs, and delivering solutions that meet these needs.
Operational Excellence: Ensuring the reliability, efficiency, and quality of data services and pipelines.
Change Management: Leading change initiatives, improving processes, and implementing new technologies.
This position is for an IC (Individual Contributor) role.
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.
Work Location Assignment:Flexible
The annual base salary for this position ranges from $117,300.00 to $195,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% 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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