What are the responsibilities and job description for the Data Engineer, Data Platform position at Jobgether?
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer, Data Platform based in Brazil.
This is an opportunity for a Data Engineer to join a high-impact Data Platform team building the foundation that powers analytics, AI, and machine learning at scale.
You will work on a modern and evolving data ecosystem, contributing to the design and evolution of large-scale data infrastructure.
The role is hands-on and ownership-driven, covering the full lifecycle of data — from ingestion and processing to storage and consumption.
You will help shape a next-generation data platform transitioning toward a modern lakehouse architecture.
The environment is highly technical, fast-evolving, and strongly focused on impact, quality, and scalability.
You will collaborate with experienced engineers while having autonomy to own meaningful initiatives end-to-end.
This is a role for someone who enjoys solving complex data problems and building systems that others rely on.
- Design, build, and evolve scalable data pipelines supporting ingestion, transformation, and consumption across the platform.
- Own end-to-end data engineering initiatives, from architecture design to production deployment and monitoring.
- Support the migration and evolution toward a modern data lakehouse architecture using open table formats.
- Develop and optimize batch and streaming data processing systems for large-scale event ingestion.
- Contribute to the design and improvement of data modeling, storage strategies, and consumption layers.
- Work with cloud-based infrastructure to ensure performance, reliability, and scalability of data systems.
- Collaborate with cross-functional teams to define data needs, standards, and best practices.
- Participate in on-call rotation and support operational stability of critical data platform components.
Requirements:
- Strong experience as a Data Engineer, Analytics Engineer, Data Platform Engineer, or similar role.
- Proficiency in Python and SQL, with experience in building production-grade data pipelines.
- Experience working with modern cloud data platforms (AWS preferred; GCP or Azure also valued).
- Solid understanding of data architectures such as data warehouses, data lakes, and lakehouse models.
- Experience with distributed data processing and large-scale data systems.
- Ability to design and build reliable, idempotent, and well-documented data workflows.
- Strong problem-solving skills with the ability to handle ambiguous technical challenges independently.
- Experience working in cross-functional engineering environments with strong communication skills.
- Nice to have: experience with Kafka, Kinesis, Flink, Spark, Kubernetes/EKS, Terraform, and open table formats like Apache Iceberg, Delta Lake, or Hudi.
- Familiarity with data governance, observability, and building data APIs is a plus.
- Strong written communication skills for technical documentation, specifications, and design notes.
Benefits:
- Competitive compensation with potential equity participation
- Health, dental, and life insurance coverage
- Annual budget for professional development in technology
- Language learning support (English, Spanish, Portuguese)
- Flexible meal allowance
- Extended parental leave and childcare assistance
- Remote-first culture with flexible work schedule
- Home office financial support and setup assistance
- Wellness and employee support programs
- Annual profit-sharing program.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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