This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Salesforce & Jira Integration) based in Brazil.
This role is focused on building and optimizing enterprise-grade data pipelines that connect critical business systems into a centralized analytics ecosystem.
You will play a key role in transforming raw operational data from platforms like Salesforce and Jira into structured, high-quality datasets used for executive reporting and business intelligence.
The position involves designing scalable ETL/ELT workflows within Snowflake, ensuring performance, reliability, and strong governance standards.
You will collaborate closely with cross-functional teams including BI developers, analysts, and platform administrators to enable accurate and fast data-driven decision-making.
A strong emphasis is placed on data quality, security, and architectural best practices in a complex enterprise environment.
This is a highly collaborative and international role, working closely with US-based stakeholders in a fast-paced, Agile setting.
It is an excellent opportunity for a data engineer passionate about cloud platforms, SaaS integration, and modern analytics architectures.
Based on 1,466 disclosed Data & ML salaries on RoleSuite, the role pays a median of $161K/year, with most offers between $127K and $203K (10th–90th percentile: $102K–$244K).
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