Posted 17 days ago
Senior Software Engineer - Salesforce
AI Summary
Architects and deploys scalable data pipelines and custom Salesforce solutions, bridging the Salesforce CRM with Azure cloud data platforms while mentoring engineers and driving operational efficiency.
About this role
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Company: Oak Street Health
Title: Senior Engineer - Salesforce & Data Engineering
Location: Remote
Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street’s care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients’ health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visithttp://www.oakstreethealth.com.
Role Description and Responsibilities
The Staff Engineer - Salesforce & Data Engineering reports to Data Engineering Leadership and executive engineering management, and serves as a technical authority bridging Oak Street Health’s Salesforce CRM ecosystem with enterprise-grade cloud data platforms. This role is responsible for architecting, designing, and deploying scalable end-to-end data pipelines and custom programmatic Salesforce solutions that optimize workflows and drive operational efficiency across the organization. The Staff Engineer mentors engineering team members at all levels and serves as a primary SME for cloud data architecture, Salesforce data integration patterns, and engineering best practices.
The key responsibilities for this role are as follows:
- 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.
- Other duties as assigned.
What we’re looking for
This is an exciting opportunity to drive process improvement in a high-impact way, and contribute to the continued growth of a value-based care organization that is changing the way healthcare is delivered. We are looking for people that have:
- 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.
- Certifications (Highly Preferred):
- Salesforce: Platform Developer II, Integration Architect, or Data Cloud / Data Architecture certifications.
- Data & Cloud: Databricks Certified Data Engineer (Associate/Professional) or Microsoft Certified: Azure Data Engineer Associate (DP-203).
- 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%).
- 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.
Why Oak Street?
Oak Street Health offers our coworkers advantages that can’t be found in other healthcare companies, including:
The opportunity to be part of a hyper-growth company focused on changing the future of healthcare. High levels of responsibility and opportunities for rapid advancement Generous retirement options, paid vacation/sick time, as well as health, vision and dental benefits Supportive and fun culture HQ (the “Treehouse”) is located in the heart of Downtown, close to many public transit options and great restaurants
Why does Oak Street Health offer all of these benefits? Because we know what it takes to deliver the highest level of care, and our team deserves the best resources to succeed and enjoy their work. In return, we expect the best out of our co-workers.
Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply tooakstreethealth.com/careers
Pay Range
The typical pay range for this role is:
€50,000.00 - €125,000.00We anticipate the application window for this opening will close on: 30/11/2026Skills
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