Senior Data Engineer (AI)

Location: Brazil (Remote)

Company

hirify.global operates an AI-native platform for charter transportation, shuttle, and transit programs, connecting enterprises and event organizers with bus operators and enabling intelligent routing, pricing, dispatch, and optimization.

What you will do

• Design, build, and operate scalable data pipelines, models, and data products for analytics, operational decision-making, and AI.
• Own data architecture and modeling across quoting, booking, trips, operators, customers, and payments.
• Integrate transactional, application, and third-party data into trusted, reusable sources of truth.
• Ensure data quality, lineage, reliability, and performance through automated testing, observability, and production SLAs.
• Lead the near-term migration from Redshift to Snowflake and evolve the data platform, warehouse, infrastructure, and transformation workflows.
• Set data engineering standards and partner with engineering, product, analytics, and business teams on scalable solutions.

Requirements

• 5+ years of experience in data engineering, software engineering, or a similar role operating production data systems.
• Strong SQL and Python skills with hands-on experience building scalable ETL/ELT pipelines, data models, and transformations using dbt or similar frameworks.
• Experience owning data solutions end to end, including architecture, modeling, development, testing, deployment, monitoring, and documentation.
• Experience with dimensional modeling, data quality, lineage, and orchestration using Airflow, Prefect, or similar tools.
• Strong experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Databricks; platform migration experience is beneficial.
• Ability to collaborate in English across technical and business teams.

Culture & Benefits

• Remote-first work model for this Brazil-based role.
• International benefits aligned with local standards, including health and wellness support where applicable.
• Paid time off and region-specific financial savings programs where applicable.
• Fast-moving, collaborative, performance-driven environment.
• Mac or PC plus monitor, keyboard, and mouse provided.

Hiring process

• Talent Acquisition video interview.
• Hiring Manager video interview followed by team interviews.
• Offer and reference check.