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.
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.
Accountabilities:
- Design, build, and maintain scalable ETL/ELT pipelines to ingest data from Salesforce, Jira, and other enterprise SaaS systems into Snowflake.
- Develop and optimize Snowflake data models, including staging layers, transformations, and reporting-ready structures.
- Implement robust data ingestion processes leveraging Salesforce APIs and Jira workflows, ensuring accurate mapping of business objects and processes.
- Monitor pipeline performance, implement data validation checks, and ensure end-to-end data quality and reliability.
- Enforce data governance policies, security controls, and role-based access mechanisms within enterprise environments.
- Collaborate with Power BI developers, analysts, and business stakeholders to ensure data availability and consistency for reporting.
- Document data flows, architectural decisions, and technical implementations in alignment with Agile delivery practices.
- Participate in sprint ceremonies and contribute to continuous improvement of data engineering standards and practices.
- 5+ years of experience as a Data Engineer working with cloud-based data platforms and pipelines.
- Strong hands-on expertise with Snowflake, including ingestion strategies, transformations, and performance optimization.
- Advanced SQL skills for complex transformations, data modeling, and analytical performance tuning.
- Solid experience integrating Salesforce data, including understanding of its data model, APIs, and commercial objects.
- Experience working with Jira or similar workflow/ticketing systems and modeling their data structures.
- Strong understanding of ETL/ELT concepts and modern data engineering practices.
- Experience working with distributed teams and communicating effectively in English with technical and business stakeholders.
- Knowledge of data governance, security principles, and enterprise-level access control models.
- Familiarity with modern data stack tools such as dbt, Airflow, Fivetran, or similar (nice to have).
- Experience supporting BI tools such as Power BI, including data modeling and dashboard enablement (nice to have).
- Experience with Git, CI/CD pipelines, and collaborative engineering workflows (nice to have).
- Strong analytical thinking, attention to detail, and problem-solving mindset.
- Competitive compensation aligned with international market standards
- Fully remote role within LATAM with stable long-term engagement
- Exposure to large-scale enterprise data environments and global stakeholders
- Opportunity to work with modern cloud technologies such as Snowflake and SaaS ecosystems
- Collaborative, Agile-driven engineering culture
- Continuous learning and professional development opportunities
- Participation in impactful data initiatives supporting business-critical decisions
- Flexible work environment with cross-time-zone collaboration.