Senior Data & Platform Engineer – Veterinary Technology

BrazilFull-timePosted Jul 1, 2026

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data & Platform Engineer – Veterinary Technology based in Brazil.

This role sits at the core of a mission-critical data platform powering veterinary clinical software and AI-driven decision support systems used globally. You will take end-to-end ownership of a modern, cloud-native data ecosystem that supports ingestion, transformation, orchestration, and delivery of high-volume, high-integrity healthcare data. Working in a fully remote, high-ownership engineering environment, you will design and operate scalable data infrastructure that directly impacts clinical workflows and analytics used by veterinary professionals. The role requires a strong blend of data engineering, platform engineering, and DevOps expertise, with significant responsibility over reliability, performance, and cost efficiency. You will work across distributed systems, infrastructure-as-code, and orchestration tools while collaborating closely with product, analytics, and engineering teams. This is an opportunity to build and scale a production-grade data platform in a regulated, high-accuracy domain where data quality is critical.

Accountabilities:

Take full ownership of the data platform’s reliability, ensuring robust performance across ingestion pipelines, transformations, storage layers, and observability systems.

Design, build, and maintain scalable data pipelines using Apache Airflow, supporting both batch and near-real-time processing workflows.
Manage and optimize Snowflake data warehouse architecture, including schema design, clustering strategies, access control, and cost governance.
Develop and maintain dbt transformation models, including incremental processing strategies, dependency management, and documentation standards.
Deploy and operate platform services on Kubernetes (EKS), managing workloads, debugging production issues, and optimizing resource utilization.
Provision and manage infrastructure using Terraform across Snowflake, Airflow, and supporting cloud services.
Write high-quality SQL and Python code for ETL processes, data modeling, and platform automation.
Manage PostgreSQL operational databases, including query optimization, indexing, replication, and schema migrations.
Lead implementation of CDC-based ingestion pipelines using tools such as Debezium for real-time data streaming.
Build and maintain observability, alerting, and SLA monitoring using Datadog across the entire data platform.
Maintain CI/CD pipelines for data workflows, including DAG deployments, dbt runs, and infrastructure updates.
Collaborate with engineering, analytics, and product teams to deliver well-structured, high-quality data products.
Work within AWS environments (RDS, S3) to manage data-adjacent services and operational scaling.

Requirements:

5+ years of experience in data engineering or combined data/platform engineering roles, with a proven track record of building and operating production-grade data platforms.

Deep expertise in Snowflake, including performance tuning, schema design, access control, and cost optimization.
Strong hands-on experience with dbt and Apache Airflow, including DAG development, modeling patterns, testing, and troubleshooting.
Advanced proficiency in SQL and strong Python programming skills for ETL and automation workflows.
Working knowledge of Kubernetes (EKS), including deployment, debugging, and resource management.
Strong experience with Terraform for infrastructure provisioning in cloud-based data environments.
Hands-on experience with Datadog for monitoring, observability, and SLA tracking.
Familiarity with AWS services such as RDS and S3.
Experience with CI/CD practices for data engineering workflows and production deployments.
Strong understanding of data quality, lineage, and cataloging practices.
Familiarity with streaming and modern data architecture concepts (Kafka, Flink, Iceberg, Delta Lake) is highly valued.
Experience with CDC tools such as Debezium is a strong plus.
Exposure to healthcare, veterinary, or regulated data environments is preferred.
Bonus: experience with Redshift, Elixir/Erlang, Spot instances on EKS, or AI-assisted development tools.
Strong problem-solving skills, ownership mindset, and ability to work autonomously in a remote environment.

Benefits:

Fully remote role with flexibility to work from anywhere in Brazil.
Competitive USD-based compensation aligned with senior engineering expertise.
Paid time off to support rest, balance, and long-term performance.
High autonomy with a focus on outcomes rather than hours worked.
Opportunity to work on high-impact, production-grade data platforms used in the veterinary technology space.
Exposure to leading U.S.-based clients and globally distributed engineering teams.
Collaborative environment with senior-level engineers across multiple countries.
Long-term career growth in a global network of technical professionals.

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