Data Engineer

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

📋 Description

• Construct and uphold dependable data pipelines utilizing Airbyte, Snowflake, dbt, and comparable tools.

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

• Develop and sustain dbt models, testing frameworks, documentation, and deployment procedures.

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

• Follow guidance from senior staff to acquire knowledge and support standard practices and best methods.

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

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

• Develop agent-based workflows for multi-step business processes utilizing authorized tools and systems.

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

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

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

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

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

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

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

⛳️ Requirements

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

• Excellent SQL proficiency.

• Competence in at least one programming language, with a preference for Python.

• Experience in building and maintaining cloud-based data warehouses and operational data pipelines.

• Practical experience with Snowflake and dbt.

• Familiarity with data integration or ingestion tools like Airbyte.

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

• Knowledge of AI-assisted software 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 analytical and problem-solving abilities.

• Capability to troubleshoot across interconnected systems.

• Effective communication and collaboration skills with both technical and business stakeholders.

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

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

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

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

• Preferred: experience in supporting internal applications from prototypes through to large-scale enterprise production adoption.

🏝️ Benefits

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

• Commitment to being an equal opportunity employer.

• Provision of reasonable accommodations for applicants with disabilities.