Salesforce Data Engineer

Ethereum Technologies LLC; Nashville (TN); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology solutions company in Nashville is seeking a Salesforce Developer to design and maintain data pipelines, optimize ETL processes, and implement data strategies within Salesforce. Ideal candidates will have over 4 years of Salesforce Platform Developer experience and certifications in MuleSoft and Salesforce data architecture. This role emphasizes collaboration with AI/ML teams to enhance data-driven decision-making and customer service automation.

Qualifications

• 4+ years of experience as a Salesforce Platform Developer II.
• Salesforce Certified MuleSoft Developer with 4 years experience.
• Salesforce Certified Platform Data Architect with 7 years experience.
• Salesforce Certified MuleSoft Platform Architect with 7 years experience.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Define and implement data storage and normalization strategies.
• Monitor and manage data migration and cleansing efforts.
• Collaborate with AI specialists for Salesforce integrations.

Skills

Data pipeline design

ETL processes

Salesforce development

API integration

Data architecture

Tools

MuleSoft

Salesforce

Job description

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 duplication strategies.

Required Skills / Experience

• Experience designing, developing and maintaining data pipelines, ETL processes, and integrations
• 4+ years of experience as a Salesforce Platform Developer II
• Salesforce Certified MuleSoft Developer (4 years)
• Salesforce Certified Platform Data Architect (7 years)
• Salesforce Certified MuleSoft Platform Architect (7 years)

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract