Data Engineer

Role Overview

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

What You Will Do

Own and optimize the marketing data operations layer across Salesforce, Pardot, Marketing Cloud Next, Salesforce Data Cloud, RingLead, ZoomInfo, 6sense, and related tools that support segmentation, activation, enrichment, and campaign execution.

Why It Might Be a Fit

The ideal candidate is a hands-on marketing data operations, marketing systems, or martech professional who understands how audience, account, lead, contact, and campaign data are structured and activated across the marketing technology stack.

Requirements

• Strong hands-on experience working in Salesforce and marketing automation platforms that support campaign execution, segmentation, and lead management.
• Hands-on experience with Pardot is strongly preferred.
• Familiarity with one or more of the following is preferred: Marketing Cloud Next, Salesforce Data Cloud, RingLead, ZoomInfo, 6sense, or similar enrichment and activation tools.
• Ability to build and manage audience, account, lead, and contact segments directly in platform to support campaign execution.
• Strong understanding of Salesforce data structures, including accounts, contacts, leads, campaigns, and related activity data.
• Experience improving data quality, completeness, field governance, and process consistency across connected marketing systems.
• Experience with platform configuration, field mapping, data flow troubleshooting, and operational support across connected marketing systems.
• Experience supporting data enrichment, deduplication, acquisition, or data hygiene processes.
• Understanding of segmentation governance, contact policy, or communication controls that help prevent over-messaging and improve audience experience is preferred.
• Working knowledge of SQL or other query-based troubleshooting is preferred but not required.
• Ability to partner effectively with technical teams, business stakeholders, and campaign teams and adjust solutions based on feedback.
• Experience using AI-enabled tools, copilots, or automation to improve workflow efficiency, documentation, segmentation analysis, or productivity.
• Strong attention to detail, comfort working hands on in systems, and a practical mindset toward continuous improvement and innovation.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or retirement plan
• Paid time off
• Paid holidays
• Life insurance
• Disability insurance