Salesforce Data Engineer

Techgene Solutions

Nashville (TN)

On-site

USD 100,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A technology solutions provider is seeking a mid-senior level Data Engineer to design and maintain scalable data pipelines and ETL processes. The role requires Salesforce expertise, including certifications in MuleSoft and data architecture. Candidates should have significant experience in Salesforce platforms and data governance. This contract position offers benefits including medical and vision insurance, along with a 401(k).

Qualifications

4-6 years of experience as a Salesforce Platform Developer II.
4-6 years in Salesforce Certified MuleSoft development.
7-9 years as Salesforce Certified Platform Data Architect.
7-9 years in MuleSoft Platform Architecture.

Responsibilities

Design and develop scalable data pipelines and ETL processes.
Optimize data ingestion and transformation processes for Salesforce.
Lead data modeling strategy across Salesforce Clouds.
Collaborate with AI/ML specialists for Salesforce integrations.
Support data governance frameworks and best practices.

Skills

Salesforce Platform Developer II

Salesforce Certified MuleSoft Developer

Salesforce Certified Platform Data Architect

Salesforce Certified MuleSoft Platform Architect

Job description

Direct message the job poster from Techgene Solutions

Responsibilities

Design, develop, and maintain scalable data pipelines, extract transform and load (ETL) processes, integrations, and APIs between Salesforce and external systems
Optimize data ingestion and transformation processes in alignment with best practices for Salesforce data architecture.
Define and implement data storage, normalization, and performance strategies across Salesforce instances.
Lead the data modeling strategy across Salesforce Clouds, including Public Sector Cloud, Service Cloud, and Experience Cloud.
Monitor and manage data migration, deduplication, and cleansing efforts to ensure system consistency and integrity.
Design and deploy AI-powered agents that interact with Salesforce data for dynamic decision support, customer service, and workflow automation.
Collaborate with AI/ML specialists to integrate predictive models and generative AI assistants within Salesforce environments (e.g., Einstein GPT or other LLM-based tools).
Coordinate the implementation of data governance frameworks and best practices across client organizations, with a focus on Salesforce data ecosystems.
Work with the Salesforce product owner, business units, and stakeholders to align data governance requirements and strategies.
Support the development and enforcement of data standards, naming conventions, data ownership, and stewardship models including business glossaries, data dictionaries, and metadata for key Salesforce data assets.
Provide documentation and guidance for Salesforce data integrations, data cleansing initiatives, and deduplication strategies.