Senior Data & Platform Engineer – Veterinary Technology

Truelogic · LATAMRemotosenior

En corto

▸Ingeniero de datos y plataforma senior que construye y gestiona plataformas de datos escalables para una empresa de tecnología veterinaria.
▸Día a día: diseño de pipelines con Airflow, gestión de Snowflake, dbt, Kubernetes (EKS), Terraform y observabilidad con Datadog.
▸Lo destacado: lidera la transición a CDC con Debezium y tiene autonomía total sobre infraestructura y plataformas.

No se requiere inglés.

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¿Qué piden?

✓5+ años de experiencia en ingeniería de datos o rol combinado de datos e infraestructura.
✓Experiencia comprobada en construir plataformas de datos en producción desde cero.
✓Experto en Snowflake: diseño de esquemas, optimización de rendimiento y control de costos.
✓Experiencia sólida con dbt (modelos, estrategias incrementales, pruebas) y Airflow (DAGs, dependencias, depuración).
✓Habilidades avanzadas en SQL y Python para ETL y lógica de pipelines.
✓Experiencia en infraestructura como código con Terraform y operación en Kubernetes (EKS).

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Apache AirflowSnowflakedbtKubernetesEKSTerraformPostgreSQLDebeziumDatadogAWS

¿A quién escribirle en Truelogic?

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About Truelogic At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. Our Client A leading innovator in the veterinary technology space, providing a comprehensive ecosystem of practice management software, AI tools, and clinical decision support used by professionals worldwide. Job Summary As a Senior Data Engineer, you will take end-to-end ownership of a rapidly scaling data platform, driving the ingestion, transformation, storage, and delivery of critical analytics for veterinary clinics. Working within a high-ownership, fully remote engineering team, you will ensure the health and reliability of complex pipelines, leverage modern infrastructure-as-code practices, and establish robust data quality standards. The ideal candidate is a battle-tested builder who has previously constructed data platforms from the ground up, seamlessly combining 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, including Snowflake resources and Airflow , utilizing Terraform . Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery. Manage PostgreSQL as a source-of-truth 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 full-stack development teams to model clean, well-documented data products. Navigate AWS environments (including RDS and S3 ) to manage data-adjacent services, read logs, and adjust scaling parameters. Qualifications and Job Requirements 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).

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