Salesforce Data Engineer
Cirrius Solutions Inc.
- United States, United States
- Remote
- $115,000 - $135,000 a year
- Posted Aug 11, 2026
Job description
About the role
The Salesforce Data Engineer owns enterprise‑scale Salesforce data migrations, building ETL/ELT pipelines, managing data cleansing, validation and load cycles, and collaborating with architects, delivery pods and clients to ensure accurate, repeatable migrations.
About the company
Cirrius Solutions Inc. is a rapidly growing Salesforce Summit Consulting Partner that specializes in Revenue Cloud, Agentforce, and Field Service solutions, operating in the information technology and telecom/communications sector.
Requirements
- 4+ years of hands‑on Salesforce data migration experience on enterprise‑scale implementations
- Salesforce Certified Administrator; Data Architect or Application Architect certification a plus
- Strong working knowledge of Salesforce data modeling – standard/custom objects, relationships, and impact on migration
- Practical ETL/ELT experience building and running data load pipelines, source‑to‑target mapping, cleansing, deduplication, and validation at scale
- Experience with Salesforce data load tooling (Data Loader, Bulk API, Bulk API 2.0) and troubleshooting large‑volume load issues
- Understanding of Large Data Volume (LDV) considerations – indexing, selective queries, batching strategy, and governor limits
- Working knowledge of SQL and data transformation logic
- Exposure to cloud data platforms or lakehouse environments (Databricks preferred) and moving data between Salesforce and external systems
- Familiarity with integration patterns (REST/Bulk APIs, Platform Events, Change Data Capture) as they relate to migration and data sync
- Strong attention to detail and comfort owning validation and sign‑off on data accuracy before and after cutover
- Clear communicator able to explain data quality issues and migration status to technical and non‑technical stakeholders
- Ability to support one or more concurrent migration workstreams across engagements
- Experience with ETL/data pipeline tooling (e.g., MuleSoft, Informatica, Talend, dbt, or Fivetran)
- Familiarity with Databricks (Delta Lake, notebooks, Spark) or other cloud data warehouse/lakehouse platforms
- Experience with data governance or MDM concepts (stewardship, survivorship rules, reference data)
- Salesforce Certified Data Architect or Data Cloud Consultant
- Experience with Shield Platform Encryption or regulatory/compliance‑driven migrations (GDPR, CCPA, HIPAA)
- Scripting experience (Python, Apex) for custom transformation or validation logic