Salesforce Data Engineer

Job Title:

Salesforce Data Engineer Job Code: AZ 13609 Client:
Arizona Department of Economic Security (AZDES) – Department of Technology Services (DTS)

Location:

Phoenix, AZ

Work Location:

1400 W. Washington St., Phoenix, AZ 85007 Work Arrangement:
Hybrid – 3 days onsite per week Duration: 2 months 27 days initially; contract through 12/31/2026, with possible extension

Work Hours:

8:00 AM – 5:00 PM Closing Date: 09/14/2026 at 4:00 PM Eligibility:
Local Phoenix candidates only

Seeking 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.

• 4+ years of Salesforce Data Engineer experience
• Hands‑on experience with migration from SQL databases to Salesforce
• Experience with decommissioning SQL databases
• Strong Salesforce integration and data engineering experience
• Experience with data mapping, transformation, ETL, and data modeling
• Experience with REST/SOAP APIs
• Experience with SQL databases, stored procedures, and relational databases
• Strong understanding of data integrity, governance, reconciliation, and exception handling
• Experience with Apex development, triggers, and Salesforce data intake
• Experience handling large data volumes (LDV) and Salesforce performance considerations
• Experience with middleware/integration platforms such as Mule Soft, Dell Boomi, Celigo, or Azure Data Factory

• Salesforce Administrator Certification
• Salesforce Platform Developer I Certification
• Mule Soft
• Azure Data Factory
• Salesforce Apex
• Lightning Web Components (LWC)
• Event‑driven integration architecture
• API optimization and governor‑limit management

• 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.

• 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
• Mule Soft
• Azure Data Factory
• Apex
• LWC
• Middleware
• Data Pipelines
• Exception Handling
• Data Reconciliation
• Large Data Volume
• Relational Databases
• Data Architecture

Flexible work from home options available.