Data Engineer

Salesforce Data EngineerSeeking a highly skilled Senior Salesforce Integration & Data Engineer to lead a critical digital transformation initiative. The role will focus on decommissioning a legacy SQL database intermediate layer and establishing direct, modern integration paths between core source systems and Salesforce. The ideal candidate will have strong experience bridging traditional database architecture with modern cloud ecosystems while designing scalable real-time and batch data integrations.Location: Phoenix, AZWork Arrangement: Hybrid – 3 days onsite per weekDuration: 2 months 27 days initially; contract through 12/31/2026, with possible extensionWork Hours: 8:00 AM – 5:00 PMClosing Date: 09/14/2026 at 4:00 PMEligibility: Local Phoenix candidates onlyRequired Skills:4+ years of Salesforce Data Engineer experienceHands-on experience with migration from SQL databases to SalesforceExperience with decommissioning SQL databasesStrong Salesforce integration and data engineering experienceExperience with data mapping, transformation, ETL, and data modelingExperience with REST/SOAP APIsExperience with SQL databases, stored procedures, and relational databasesStrong understanding of data integrity, governance, reconciliation, and exception handlingExperience with Apex development, triggers, and Salesforce data intakeExperience handling large data volumes (LDV) and Salesforce performance considerationsExperience with middleware/integration platforms such as MuleSoft, Dell Boomi, Celigo, or Azure Data FactoryPreferred Skills:Salesforce Administrator CertificationSalesforce Platform Developer I CertificationMuleSoftAzure Data FactorySalesforce ApexLightning Web Components (LWC)Event-driven integration architectureAPI optimization and governor-limit managementKey Responsibilities:Analyze and decommission legacy SQL relational databases currently used as staging layers between source systems and Salesforce.Establish direct REST/SOAP API and event-driven connections between upstream systems and Salesforce.Configure and maintain middleware platforms for data orchestration, transformation, and traffic management.Convert complex SQL stored procedures, views, and ETL logic into Apex, middleware logic, or Salesforce flows.Design scalable Salesforce data models capable of handling large data volumes.Develop exception logging, reconciliation, and synchronization failure mechanisms.Develop clean, asynchronous, and tested Apex code, triggers, and LWC where required.Optimize integrations for API limits, governor limits, row locking, batching, and queuing.Primary Skills: Salesforce Data Engineering, Salesforce Integration, SQL, Data Migration, SQL Database Decommissioning, Data Governance, Data Integrity, Data Mapping, Data Modeling, ETL, Stored Procedures, APIs, REST, SOAP, MuleSoft, Azure Data Factory, Apex, LWC, Middleware, Data Pipelines, Exception Handling, Data Reconciliation, Large Data Volume, Relational Databases, Salesforce.com, Data Architecture.Flexible work from home options available.