Job Description

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.

Requirements:

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.

Benefits:

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.

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.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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About Jobgether

Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals.

We flip the hiring model by connecting talent only to roles that truly match, reducing noise for employers and eliminating wasted effort for candidates. Jobgether combines AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database to help people land opportunities faster and with less bias.

Our purpose is to make remote job search guided and intentional.

Our mission is to become the world’s reference platform for remote talent, ensuring no professional remains invisible and every match is meaningful.

Industry

Retail & Ecommerce

Company Size

201-500 employees

Headquarters

Brussels, BE

Year Founded

2020

Website

jobgether.com

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