Staff Engineer - Salesforce & Data Engineering

We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.

The Staff Engineer - Salesforce & Data Engineering reports to the Director of Growth and serves as a technical authority bridging Oak Street Health's Salesforce CRM ecosystem with enterprise-grade cloud data platforms.

Key Responsibilities:

• Lead the architecture, design, and deployment of scalable Azure Databricks data pipelines using PySpark, Delta Live Tables, and Medallion Architecture (Bronze, Silver, Gold layers).
• Drive enterprise architecture and custom development across the Salesforce platform, including Lightning Web Components (LWC), Visualforce, Apex (Classes, Controllers, Triggers), and Salesforce Flows.
• Architect and maintain robust enterprise integrations and complex data sync patterns between Salesforce, Azure Data Lake Storage (ADLS), and cloud/on-prem environments.
• Modernize legacy infrastructure by migrating on-prem SQL pipelines into scalable, cloud-native Databricks solutions using configuration-driven framework patterns (YAML, JSON).
• Establish DevOps & CI/CD standards across both Salesforce and Data Engineering domains using Infrastructure as Code (IaC) and Pipeline as Code methodologies.
• Define platform strategy and collaborate with upstream/downstream teams, IT, and BI to drive data quality, eliminate technical debt, and resolve complex architectural bottlenecks.
• Set technical standards and mentor engineers through rigorous design and code reviews, ensuring platform performance, security, and governance standards are met across teams.
• Serve as the highest-tier escalation point for complex production issues, pipeline failures, and system performance optimizations.
• Lead Medicare and payer-focused data initiatives involving member, claims, and operational datasets while ensuring strict PHI/PII compliance and regulatory standards (HIPAA).
• Create and maintain enterprise-grade documentation for platform architecture, data models, integration standards, and operational procedures.

Required Qualifications:

• 8+ years experience in Software Development, Cloud Technology, or Data Engineering building large-scale platforms.
• 5–7+ years of hands-on Data Engineering experience with Azure Databricks, Delta Lake, and Azure Data Lake Storage (ADLS).
• Advanced PySpark development experience, including DataFrames, transformations, joins, aggregations, and performance tuning.
• Experience developing and maintaining Delta Live Tables (DLT) pipelines.
• Strong SQL and relational database background (e.g., SOQL, SOSL, MySQL, SQL Server, Oracle) with experience supporting and migrating legacy SQL environments to modern Python/PySpark architectures.
• Minimum 3+ years working experience with Salesforce custom development (Apex, Visualforce, LWC, web services - SOAP/REST) and Flow automation.
• Strong understanding of Medallion Architecture (Bronze, Silver, Gold) and building ingestion, transformation, and curation pipelines across all layers.
• Experience with Infrastructure as Code (IaC), Pipeline as Code, YAML, JSON, and configuration-driven patterns.
• Experience automating CI/CD deployments using DevOps pipelines across both cloud data and Salesforce environments.
• Strong quantitative and qualitative analytical abilities with a proven ability to manage multiple priorities.
• Excellent interpersonal skills and the ability to work across the organization, mentor junior engineers, and foster a positive team environment.
• Undergraduate degree in Computer Science, Software Engineering, or a related technical field.
• US work authorization.
• Some travel required (10%).

Preferred Qualifications:

• Salesforce Certifications (Highly Preferred): Platform Developer II, Integration Architect, or Data Cloud / Data Architecture certifications.
• Data & Cloud Certifications (Highly Preferred): Databricks Certified Data Engineer (Associate/Professional) or Microsoft Certified: Azure Data Engineer Associate (DP-203).
• Familiarity with Databricks Asset Bundles, Unity Catalog, and Delta Lake preferred.
• Healthcare industry experience preferred (Medicare, payer, member enrollment, or claims data experience strongly preferred).
• Deep understanding of healthcare data quality, PHI/PII handling, and regulatory requirements preferred.

Pay Range: €65,000.00 - €165,000.00