Solution Engineer, Data Engineering – Manager

Pfizer

Data engineering manager building cloud-native pipelines and governed datasets for Pfizer’s biopharmaceutical research. Enabling scientific, analytics, and AI/ML teams in regulated production environments.

Posted 8/19/2026full-timeNew York City • California, New York, Pennsylvania, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $99,200 - $165,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining cloud-native data pipelines, with strong proficiency in Python and SQL for data processing. Capable of implementing secure data access patterns and optimizing performance across cloud platforms while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Cloud-Native Data Pipeline DevelopmentPython ProficiencySQL ProficiencyWorkflow Orchestration (Airflow)Data Modeling and Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSoftware EngineeringData ProcessingAutomationTestingData Integration PatternsCI/CDData Quality ChecksObservabilityRoot-Cause Analysis

Soft Skills

Problem-SolvingCollaborationTechnical CommunicationEagerness to Learn

Tools & Technologies

AWSGCPAzureSparkDatabricksSnowflakeRedshiftDelta LakeIcebergGit

Industry Keywords

Data QualityData LineageObservabilitySecurity Best PracticesRegulated Environments

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Develop and maintain cloud-native data pipelines for batch and streaming ingestion
Develop transformation and modeling patterns enabling analytics and AI/ML use cases
Build and operate orchestration workflows with versioning, testing, promotion, rollback, and runbooks
Embed data quality, lineage, and observability into pipelines and datasets
Implement secure data access patterns aligned to enterprise and regulatory requirements
Optimize performance and cost across compute and storage
Collaborate with scientists, analysts, data scientists, and engineers to translate requirements into production solutions
Contribute to reusable standards, templates, documentation, examples, and onboarding materials
Stay current with technologies and best practices; support skill development and knowledge sharing
Pair with domain teams to define datasets and data products
Review pull requests and improve data quality checks and observability dashboards
Troubleshoot production issues, maintain runbooks, and perform root-cause follow-up
Ship changes through CI/CD and document delivered solutions
Report to the Principal Engineer, Data Engineering

Requirements

What you’ll need

Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Data Engineering, Bioinformatics, Engineering, or related discipline)
4+ years of experience in data engineering, software engineering, or closely related roles
Strong proficiency in Python and SQL for data processing, automation, and testing
Hands-on experience with cloud platforms (AWS, GCP, Azure) and cloud-native storage/compute services
Experience with one or more modern data processing or lakehouse/warehouse technologies (e.g., Spark, Databricks, Snowflake, Redshift, Delta Lake, Iceberg)
Experience with workflow orchestration and scheduling (e.g., Airflow) and CI/CD using Git-based workflows
Strong understanding of data modeling, data integration patterns, and software engineering best practices (code review, testing, documentation)
Working knowledge of security best practices for data platforms (IAM, secrets management, encryption, least privilege) and operating in regulated environments
Strong problem-solving skills and eagerness to learn in a collaborative environment
Fluent in English; capable of clear technical communication across scientific and engineering disciplines
Candidates must be authorized to be employed in the U.S. by any employer
U.S. work visa sponsorship is not available for this role now or in the future
This position requires permanent work authorization in the United States

Benefits

Comp & perks

Global Performance Plan bonus target of 12.5% of base salary
Share based long term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility