Data Engineer (CRM)

Accountabilities:
The Data Engineer will be responsible for designing, developing, and maintaining scalable data solutions that support CRM operations, analytics, and business intelligence initiatives. This role requires strong collaboration with technical teams and business stakeholders to ensure data accuracy, availability, and performance. Build, optimize, and maintain reliable ETL/ELT data pipelines across Snowflake, Salesforce Data Cloud, and cloud platforms. Develop and maintain Go-To-Market (GTM) data models, including advertiser identity resolution, lead enrichment, customer relationships, and revenue analytics datasets. Write, optimize, and troubleshoot complex SQL queries and domain-specific queries to support reporting and analytics requirements. Implement data quality processes, schema management practices, and governance standards across enterprise data environments. Collaborate with data engineering teams and product managers to deliver technical requirements within agile project workflows. Support CRM data architecture initiatives, ensuring efficient integration between business systems and analytical platforms. Continuously improve pipeline performance, scalability, and reliability through engineering best practices. Requirements: The ideal candidate has strong experience in data engineering, cloud-based data platforms, and CRM-related data environments. They should be comfortable working with modern data stacks while collaborating effectively with distributed teams. Advanced proficiency in SQL with extensive hands-on experience using Snowflake. Strong Python programming skills for data processing, transformation, and automation. Experience developing ETL/ELT pipelines using tools such as dbt, Apache Airflow, or equivalent orchestration frameworks. Practical experience working with cloud data platforms, preferably Google Cloud Platform (GCP) or AWS. Solid understanding of CRM data structures, including leads, contacts, accounts, and opportunities. Experience with data modeling, analytics engineering, and enterprise data management practices. Ability to communicate clearly in English, as interviews, documentation, meetings, and daily collaboration will be conducted in English. Availability to work aligned with US Central Time business hours, maintaining at least six hours of overlap with distributed teams. Nice-to-have qualifications: Experience with Salesforce Data Cloud, Salesforce standard data models, and SOQL queries. Familiarity with data enrichment platforms such as ZoomInfo or Dun & Bradstreet. Previous experience working with revenue analytics, Go-To-Market data, or sales operations analytics. Experience supporting global teams in remote and distributed environments. Benefits: Fully remote work model from Brazil and other LATAM locations. Full-time contractor engagement with a long-term opportunity. Opportunity to work on impactful data initiatives for a global technology environment. Collaboration with international engineering and product teams. Exposure to modern data platforms, cloud technologies, and enterprise-scale solutions. Flexible remote environment with distributed team collaboration.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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