Salesforce Data Engineer

We’re a boutique web development agency seeking a Data Engineer with extensive experience working with Salesforce. This role combines responsibilities typically associated with a Salesforce Admin and an ETL Developer, with a strong focus on supporting our internal go-to-market (GTM) operations.

This is not a generalist admin role. We’re looking for someone who specializes in the data side of Salesforce, lead ingestion, field mapping, deduplication, attribution tracking, and cross-system syncs. Your work will help ensure our CRM remains clean, connected, and actionable as we scale.

• Ingesting lead data from APIs, forms, CSVs, and third-party partners into Salesforce

• Standardizing, validating, and mapping incoming data to the correct fields

• Managing deduplication using rules, fuzzy matching, or tools like DemandTools

• Supporting lead source and UTM attribution for accurate marketing reporting

• Improving object relationships across Leads, Contacts, Accounts, and Opportunities

• Diagnosing and fixing data quality issues across Salesforce objects

• Troubleshooting sync and integration problems (e.g., Zapier, Make.com webhooks)

• Analyzing and optimizing our Salesforce architecture for long-term scalability

• Recommending new tools, automations, or workflows to improve data operations

• You’ve worked directly with outbound SDR and AE teams in a Salesforce environment

• You’ve built or maintained ETL workflows to ingest and normalize lead data

• You’ve managed datasets with 1M+ records and understand how to maintain CRM health at scale

• You can investigate why a lead didn’t convert and trace it through multi-step logic

• You’re comfortable building and adjusting attribution models (first/last touch, source UTM, campaign)

• You care about data integrity and catch small issues before they become big ones

• Bonus: You’ve worked with tools like Clearbit, Apollo, Unify, LinkedIn Ads, Zapier, or Make