Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop and sustain dependable data pipelines utilizing Airbyte, Snowflake, and dbt.

• Create and refine scalable data models for analytics, reporting, search, and AI-driven applications.

• Construct and uphold dbt models, testing frameworks, documentation, and deployment procedures.

• Guarantee data quality, reliability, governance, and operational excellence throughout the data platform.

• Build and improve AI-driven applications that securely access, interpret, and summarize business information.

• Design methods for retrieval, context management, prompt engineering, and tool invocation.

• Develop workflows for multi-step business processes utilizing agent-based designs.

• Create APIs, services, and integrations that connect AI applications with internal platforms and business systems.

• Comprehend the business application of AI agents and provide insights to enhance user value.

• Monitor system health, application performance, data quality, AI utilization, and operational expenses.

• Diagnose issues within data pipelines, warehouse transformations, software services, and AI workflows.

• Implement best practices in security, access control, testing, logging, and governance.

• Collaborate with business stakeholders to translate requirements into scalable, maintainable solutions.

• Utilize AI-assisted development tools while ensuring code quality, testing, and documentation standards.

• Follow guidance from senior staff to learn and support standard practices and best workflows.

⛳️ Requirements

• Background in software engineering, data engineering, analytics engineering, or a related technical field.

• Proficient in SQL.

• Knowledgeable in at least one programming language, ideally Python.

• Experience in constructing and maintaining cloud-based data warehouses and production data pipelines.

• Practical experience with Snowflake and dbt.

• Familiarity with data integration or ingestion tools like Airbyte.

• Experience in developing applications using LLMs, RAG, tool invocation, or agent-based workflows.

• Acquainted with AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, Codex, or similar platforms.

• Understanding of APIs, source control, automated testing, CI/CD, and contemporary software engineering practices.

• Strong problem-solving abilities for diagnosing interconnected systems.

• Capable of effective communication and collaboration with both technical and business stakeholders.

• Preferred: Experience with Snowflake Cortex or other enterprise AI/LLM platforms.

• Preferred: Background in designing semantic layers, metadata systems, or governed retrieval architectures.

• Preferred: Familiarity with LLM evaluation frameworks, observability tools, token-cost optimization, and response quality assessment.

• Preferred: Experience in implementing role-based access controls, data governance standards, and data privacy measures.

• Preferred: Experience in supporting internal applications from prototypes to enterprise-scale production implementation.

🏝️ Benefits

• Access to personal development resources, coaching, and support through Accruent’s “Grow Without Limits” program.

• Opportunities for skill exploration and professional advancement.

• Flexible remote work options.

• Commitment to equal opportunity employment.

• Reasonable accommodations available for applicants with disabilities.