Senior Data & Platform Engineer – Veterinary Technology

About This Opportunity

Our talent team is representing a confidential veterinary technology organization in their search for a Senior Data & Platform Engineer. This fully remote role offers the opportunity to take end-to-end ownership of a rapidly scaling data platform that delivers critical analytics to veterinary clinics worldwide.

As the senior technical leader for the data infrastructure, you'll architect and maintain complex pipelines, optimize cloud data warehouses, and establish robust data quality standards. This position is ideal for a battle-tested builder who has previously constructed data platforms from the ground up and can seamlessly combine deep data warehousing expertise with hands-on infrastructure management.

Responsibilities

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability
• Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads
• Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance
• Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation
• Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests
• Provision and manage data platform infrastructure utilizing Terraform for infrastructure-as-code practices
• Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery
• Manage PostgreSQL as an operational database, focusing on query optimization, indexing, replication, and migrations
• Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes
• Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog
• Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds
• Collaborate with analytics, product, and development teams to model clean, well-documented data products
• Navigate AWS environments (including RDS and S3) to manage data-adjacent services and adjust scaling parameters

What We're Looking For

• 5+ years of experience in data engineering or a combined data and infrastructure role, with a proven track record of building production-grade data platforms from the ground up
• Deep expertise in Snowflake, including schema design, performance tuning, access control, and advanced cost optimization
• Strong, hands-on experience with dbt (modeling patterns, incremental strategies, testing) and Airflow (writing DAGs, managing dependencies, debugging)
• Advanced proficiency in SQL and solid programming skills in Python for ETL and automation
• Working knowledge of Kubernetes, with the ability to deploy workloads, read pod logs, and manage Helm charts independently
• Extensive experience using Terraform for infrastructure provisioning, specifically for managing data platform components
• Hands-on experience with Datadog for observability, monitoring, and SLA visibility
• Familiarity with AWS data-adjacent services like RDS and S3
• Fluency in utilizing AI-based development assistants to write, review, and debug code efficiently
• Prior experience with Amazon Redshift is a plus
• Familiarity with streaming infrastructure (Kafka, Flink) or open table formats (Iceberg, Delta Lake) is highly preferred
• Experience with Elixir or Erlang is advantageous
• Knowledge of data quality, cataloging, or lineage tooling (Great Expectations, Soda, Monte Carlo, DataHub, OpenMetadata) is a strong plus
• Hands-on experience with Debezium or comparable CDC tooling, particularly in production deployments, is a strong bonus
• Experience managing EKS Spot instances at scale is a plus
• Background in healthcare, veterinary medicine, or similarly regulated domains requiring strict data accuracy and auditability is preferred

How We Work with You

When you apply through Get A Job.ai, our recruiting team will conduct an initial screening to understand your background and career goals. We'll then submit qualified candidates to our client for consideration. Throughout the process, we serve as your advocate and main point of contact. Please do not contact the client directly, as all communication should flow through our team to ensure the best experience for everyone involved.

This is a 100% remote position open to candidates based in Latin America. You'll work with autonomy, managing your time and focusing on results rather than hours logged. The role offers the opportunity to collaborate with a high-ownership engineering team and contribute to transformative projects in the veterinary technology space.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive environment. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristics.