Senior Data Engineer (Brazil)
About the Role
CharterUP is seeking a Senior Data Engineer to design, build, and operate the data systems that power analytics, decision-making, and AI across our two-sided transportation marketplace. You'll own scalable data pipelines and models that transform data across quoting, booking, trips, operators, customers, and payments into trusted, accessible data products. You'll be CharterUP's data engineering SME, setting the architecture, quality standards, and engineering practices for data across the company. Near term that includes leading our migration from Redshift to Snowflake; longer term it means building the platform that carries analytics and AI/ML as we grow. Working closely with engineering, product, analytics, and business teams, you'll shape how CharterUP builds, operates, and uses trusted data at scale.
Title: Senior Data Engineer
Reports to: Engineering Manager
Location: Brazil (Remote)
What You’ll Do
Design, build, and operate scalable data pipelines, models, and data products that power analytics, operational decision-making, and AI across CharterUP
Own data architecture and modeling for key business domains, integrating transactional, application, and third-party data into trusted, reusable sources of truth
Ensure data quality, lineage, reliability, and performance through automated testing, observability, and clear SLAs for production pipelines and datasets
Evolve the data platform as CharterUP scales, warehouse, infrastructure, transformation frameworks, and development workflows, leveraging AI-assisted engineering and automation where appropriate
Operate as CharterUP's primary data engineering owner, setting engineering practices and standards while partnering with engineering, product, analytics, and business teams to translate operational needs into scalable end-to-end solutions
What You’ll Bring
5+ years of experience in data engineering, software engineering, or a similar role designing and operating production data systems
Strong proficiency in SQL and Python, 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
Hands-on experience with dimensional modeling, data quality, lineage, and orchestration using Airflow, Prefect or similar, and depth in a modern cloud data warehouse such as Snowflake, BigQuery, or Databricks; experience leading a platform migration is a plus
Strong technical judgment and communication skills, with the ability to translate complex business and operational requirements into trusted, scalable solutions, collaborate effectively in English across technical and business teams, and operate as the senior data engineering voice in the room.
Recruiting Process
Step 1 - Video call: Talent Acquisition interview
Step 2 - Video call: Hiring Manager interview
Step 3 - Video call: Team interviews
Step 4 - Offer & reference check
Welcome aboard!
Compensation
$6,000 - $7,000 USD per month