Senior Data Engineer (Brazil)

Brazilsenior

Data EngineerData

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Requirements Summary

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,

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Data EngineerData

What We Offer

~3 min read

✓Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change.

✓Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there’s no better time to join our dynamic, growth-stage organization.

✓Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX.

✓Funding and Stability: Our $60 million Series A funding was just the start—we’re poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability.

✓Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states.

✓Comprehensive Health & Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards.

✓Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country.

✓Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available.

✓Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together.

✓Referral Rewards: Earn bonuses for bringing top talent to the team.

✓Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable.

✓Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.

About the Role

~1 min read

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.

Responsibilities

~1 min read

→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

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.

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!