Hybrid Data Engineer - Client-Facing ETL & Data Migration

Intapp; Charlotte (NC); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Wellness programs

Volunteer time off

Job summary

Intapp is seeking a Data Engineer to drive data integration and migration projects from client data sources into the DealCloud platform. The role emphasizes proactive client collaboration and accurate data transitions, guiding go-live activities with ownership and accountability.

You will lead data mapping, validation, ETL tasks, and QA, while supporting configuration and integration tasks aligned with best practices.

Qualifications

• 3+ years experience in ETL processes and data integration or technical delivery.
• Familiarity with CRM platforms or financial services tech.
• Proficiency with Excel, SQL, or similar data manipulation tools.
• Strong understanding of data structures, normalization and mapping techniques.
• Experience with cloud platforms and APIs is preferred.
• Excellent communication and client-facing skills.

Responsibilities

• Lead end-to-end migration of data into the DealCloud platform.
• Gather client data migration requirements and translate into technical solutions.
• Perform ETL tasks including extraction, transformation, mapping and loading.
• Validate and reconcile client data to ensure accuracy during migration.
• Support platform configuration and data integration tasks per best practices.
• Lead QA and testing for successful deployments.
• Participate in project management activities including documentation and reporting.
• Serve as a secondary resource for client-facing initiatives such as requirements and design.

Skills

ETL

Data integration

SQL

Client-facing

Analytical thinking

Education

Bachelor’s degree in Computer Science or related field

Tools

DealCloud

Excel

Job description

Intapp is seeking a Data Engineer to drive data integration and migration projects from client data sources into the DealCloud platform. The role emphasizes proactive client collaboration and accurate data transitions, guiding go-live activities with ownership and accountability.

You will lead data mapping, validation, ETL tasks, and QA, while supporting configuration and integration tasks aligned with best practices.