Job Overview
Date Posted
Posted on 6th December 2025
Expiration Date
Expires on 4th February 2026
Salary
Negotiable
Job Categories
Дизайнер продуктуSenior Data-EngineerSenior Staff-Data-EngineerSenior Principal-Data-EngineerSenior Data-Management-EngineerSenior Data-Analytics-EngineerSenior Data-Platform-EngineerSenior Data-Engineer-JobsSenior Data-Engineer-PositionsLead Data-Engineer
Info on the Senior Data Engineer roleWant to get to the next step in your international career?
Info on the Senior Data Engineer role
Want to get to the next step in your international career? We can support you!
Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their development footprint. Ubi custom-curates Brazilian top 5% talent for their LATAM strategy, offering a unique combo of staff augmentation and employer-of-record services.
Ubiminds is assisting a global leader in hiring and assessment technology. They are scaling a brand-new integrations team responsible for transforming high-volume customer data into reliable, analytics-ready outputs.
Challenge
We're looking for a Senior Data Engineer (5+ years) with strong backend and ETL experience to help build the next generation of the customer data architecture.
This role is ideal for someone who thrives in large-scale data environments, understands high-volume ingestion patterns, and enjoys designing reliable, reusable, and well-structured data pipelines.
You won’t be working on frontend tasks — this is a highly technical backend/data role focused on ETL pipelines, ingestion systems, BI-ready delivery, and cloud-native integrations. You’ll join a brand-new, highly-skilled team where engineering excellence, autonomy, and ownership are key.
Responsibilities
- Design, build, and maintain high-volume ETL pipelines and ingestion systems.
- Architect reusable data integrations to replace legacy, bucket-based custom reporting.
- DeliverBI-ready datasets consumed by tools such as Snowflake, Tableau, Looker, or internal platforms.
- Build logging, auditing, and monitoring tools to ensure reliability and visibility across pipelines.
- Support the migration to a next-generation data platform with strong emphasis on scalability.
- Debug complex data flows across AWS services, Postgres, SQL Server, RDS, DynamoDB, and custom ATS integrations.
- Collaborate closely with the TPM, Full-Stack Engineer, and other Data Engineers on architecture and design.
- Ensure data quality, consistency, and proper handling of massive customer datasets with many custom fields.
- Work hands-on with AWS-native components such as Lambda, SQS, Fargate, S3, containerization, and ingestion orchestration.
Mandatory Skills
- 5+ years of experience as a Data Engineer with backend/ETL focus.Strong experience designing and maintaining large-scale ETL pipelines.
- Advanced SQL (query optimization, analytical queries, debugging).
- Experience with high-volume data ingestion and cloud-native data processing.
- Proficiency with AWS services: S3, Lambda, SQS, Fargate, DynamoDB.
- Experience integrating external systems, APIs, or ATS-like environments.
- Strong understanding of data modeling, data validation, and operational data best practices.
- Experience with containerized workloads.
- Excellent communication skills in English (written and verbal).
- Comfort working in ambiguous, early-stage team environments.
Nice to Have
- Familiarity with BI tools such as Snowflake, Tableau, Looker, Power BI.
- Experience with Python-based ETL frameworks.
- Previous experience migrating data from legacy pipelines to platform-level solutions.
- Understanding of observability patterns (metrics, tracing, structured logs).
- Light familiarity with React (preferred but not required).
- Experience working in newly formed engineering teams or undefined-scope projects.
Team & Environment
New team forming: TPM + Full-Stack Engineer + multiple Senior Data Engineers.
Work on a massive customer dataset with many custom fields and high ingestion throughput.
Strong focus on reliability, auditability, and reusable architecture.
High autonomy, close collaboration, and a strong engineering culture.
About UbimindsOur Culture
People First. We are all about people!
Challenge Yourself. Continuous improvement is in our essence.
Make it Happen. We value attitude, ownership, and commitment.
Averaging on Awesome. We deliver high-quality services and exceed expectations.
Keep it Real. Honesty, transparency, and openness — always.
Perks and Benefits
As a Senior Data Engineer @Ubiminds, you:
Are placed in a product-based company, treated like a full-time team member.Count on our full back-office support: career guidance, HR, and concierge services.
Enjoy our remote-first policy.Get your own MacBook (no BYOD here!).
Access tech talks, chapter meetings, and a strong community of top engineers.
Earn a referral bonus when recommending new Ubiminders.
Want office vibes sometimes? Our Florianópolis HQ is open — snacks, massages, drinks, and games included.
How our process works
Interview with Tech Recruiter – chat about the role + your experience.
Tech Assessment – behaviour and code assessment
Assessment Review – Ubiminds CS Manager reviews.
30-min Interview with Hiring ManagerOffer (yay!)