Analytics Engineer at FBS - Remote Role in Brazil — Columbus
Traveler-Friendly Insight
Remote Flexibility: This role explicitly offers flexible work arrangements (remote and/or office-based), making it viable for location-independent professionals. However, since the Employer of Record is Capgemini Brazil, you will likely need to be legally based in Brazil to receive payroll and benefits — meaning true nomadic freedom across countries is limited.
Timezone Considerations: The role is embedded in a US-linked organization (Farmers/FBS), so expect some overlap with US business hours (likely EST or CST). This typically means afternoon/evening availability in Brazil (GMT-3), which aligns naturally with Brasília time and also works well from nearby time zones like Argentina or Uruguay.
Visa & Legal Notes: Employment is channeled through Capgemini Brazil as EOR, which strongly implies you need Brazilian residency or a valid Brazilian work authorization. Digital nomad visas from other countries would not satisfy this requirement.
Cost of Living Context: Brazil-based tech salaries for senior data engineers typically range from BRL 10,000–20,000/month. Compared to popular nomad hubs:
- São Paulo / Florianópolis: Mid-to-high cost by Brazilian standards, but very affordable vs. US/EU markets.
- Medellín, Colombia: Not applicable — you'd need Brazilian legal status.
- Lisbon, Portugal: Not applicable for this role's EOR structure.
Perks for Remote Workers: Training & development with renowned partners is a valuable async-friendly benefit. No explicit coworking or equipment stipend mentioned — worth clarifying during the interview process.
FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today's competitive marketplace.
We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.
Since we don't have a local legal entity, we've partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.
What to expect on your journey with us:
- A solid and innovative company with a strong market presence
- A dynamic, diverse, and multicultural work environment
- Leaders with deep market knowledge and strategic vision
- Continuous learning and development
Seeking a highly skilled and motivated data engineer to join the Analytics Engineering team within the Service Analytics and AI organization. This role is pivotal in designing, building, and maintaining scalable data pipelines and analytics solutions that empower Advanced Analytics, Business Intelligence, and Data Science initiatives. You will play a crucial role in building a semantic data layer, defining and implementing cutting-edge data products, and delivering innovative AI-driven solutions that fuel business growth and enhance customer experience.
Responsibilities
- Data Pipeline Development: Lead the design, development, and deployment of scalable and robust data pipelines, ensuring seamless data integration and processing across diverse systems.
- Analytics Engineering Best Practices: Establish and uphold best practices for data engineering, including coding standards, data governance, performance optimization, and automation strategies.
- Code Quality and Review: Participate in code reviews, provide constructive feedback, and contribute to the team's continuous improvement in coding practices and methodologies.
- ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines, reusable frameworks, and libraries to process and transform data from diverse sources, ensuring accuracy, quality, and consistency.
- Automation and CI/CD: Implement CI/CD pipelines to streamline the deployment, testing, and maintenance of analytics engineering processes.
- Cross-functional Collaboration: Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand requirements.
- Stakeholder Communication: Articulate complex technical concepts to non-technical stakeholders, fostering alignment and ensuring a shared understanding of data initiatives across teams.
- SQL & Data Engineering: Advanced SQL development, query optimization, complex transformations, and large-scale data processing.
- Hands-on experience designing and developing enterprise-scale data solutions using Snowflake, including performance tuning, data sharing, tasks, streams, and modern platform capabilities.
- Experience building scalable transformation frameworks, reusable business logic, testing, documentation, and deployment pipelines using dbt.
- Star schemas, conformed dimensions, historical tracking, KPI frameworks, and analytical data models.
- Data quality, lineage, metadata management, testing, observability, and model lifecycle management.
- Experience delivering data products within Agile product teams and modern cloud environments.
Requirements
- 3+ years of experience working as an Analytics Engineer or equivalent
- Hands-on experience with SQL, SQL Server, Python, Snowflake, and dbt
- Experience in version control systems such as Git, and workflow management tools such as Airflow
- Proven experience in designing and building scalable data pipelines
- Expertise in ETL/ELT processes, data modeling, and integration of data from multiple sources into a data warehouse
- Experience with CI/CD workflows and tools for data engineering
- Strong problem-solving and analytical skills, with the ability to work effectively in a collaborative environment
Benefits
- A competitive salary and performance-based bonuses
- Comprehensive benefits package
- Flexible work arrangements (remote and/or office-based)
- A dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Paid Time Off
- Training & Development opportunities in partnership with renowned companies
Frequently Asked Questions
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