Posted at: 3 December
Senior Data Engineer (427)
Company
CompanyUbiminds
Ubiminds is a B2B service provider specializing in technical recruiting and staff augmentation for American companies in the IT and SaaS industries, with a focus on software and AI engineering.
Remote Hiring Policy:
Ubiminds supports remote work and hires for various roles, with opportunities for candidates based in regions such as Brazil, aligning with U.S. business hours.
Job Type
Job TypeFull-time
Allowed Applicant Locations
Allowed Applicant LocationsBrazil
Salary
Salary$100,000 to $130,000 per year
Job Description
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.
- Deliver BI-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
- 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 Ubiminds
Our 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!)
Background check required over the process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.