Senior Data & Platform Engineer – Veterinary Technology

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Assume full responsibility for the reliability of the data platform, which includes managing pipelines, warehousing, transformations, and observability.

• Architect, develop, and sustain resilient data pipelines utilizing Apache Airflow, orchestrating intricate workflows across both batch and near-real-time workloads.

• Oversee and enhance the main Snowflake data warehouse, focusing on schema design, clustering keys, materialized views, access controls, and stringent cost management.

• Construct and uphold the dbt transformation layer, covering model design, incremental methodologies, dependency management, and comprehensive documentation.

• Deploy and maintain data platform services on Kubernetes (EKS), independently managing workloads, resolving pod issues, and optimizing resource requests.

• Provision and oversee data platform infrastructure, encompassing Snowflake resources and Airflow, through the use of Terraform.

• Develop high-quality SQL and Python code for ETL processes, pipeline logic, and data product delivery.

• Manage PostgreSQL as the definitive operational database, concentrating on query optimization, indexing, replication, and migrations.

• Spearhead the shift towards change data capture (CDC) for data ingestion, leveraging tools like Debezium to stream database modifications.

• Implement thorough observability, SLA monitoring, and alerting across the data platform using Datadog.

• Maintain CI/CD pipelines for DAG deployments, dbt operations, schema migrations, and container image building.

• Collaborate with analytics, product, and full-stack development teams to create clean, well-documented data products.

• Navigate AWS environments (including RDS and S3) to manage data-related services, review logs, and adjust scaling parameters.

⛳️ Requirements

• Over 5 years of experience in data engineering or a combined data and infrastructure role, demonstrating a proven ability to build production-grade data platforms from scratch.

• In-depth knowledge of Snowflake, covering schema design, performance tuning, access control, and advanced cost management.

• Strong, practical experience with dbt (modeling patterns, incremental strategies, testing) and Airflow (writing DAGs, managing dependencies, debugging).

• Advanced SQL proficiency and solid programming skills in Python for ETL and automation tasks.

• Familiarity with Kubernetes, capable of deploying workloads, reading pod logs, and managing Helm charts autonomously.

• Extensive experience with Terraform for infrastructure provisioning, particularly for data platform components.

• Practical experience with Datadog for observability, monitoring, and SLA tracking.

• Knowledge of AWS data-related services such as RDS and S3.

• Proficiency in using AI-based development assistants for efficient code writing, reviewing, and debugging.

• Experience with Amazon Redshift is an advantage.

• Preference for familiarity with streaming infrastructure (Kafka, Flink) or open table formats (Iceberg, Delta Lake).

• Experience with Elixir or Erlang is beneficial.

• Understanding of data quality, cataloging, or lineage tools (e.g., Great Expectations, Soda, Monte Carlo, DataHub, OpenMetadata) is a significant plus.

• Hands-on experience with Debezium or similar CDC tools, especially in production environments, is a strong advantage.

• Experience managing EKS Spot instances at scale is beneficial.

• A background in healthcare, veterinary medicine, or similarly regulated sectors that demand rigorous data accuracy and auditability is preferred.

🏝️ Benefits

• 100% Remote Work: Enjoy the flexibility to work from a location that suits you best. All you need is a laptop and a stable internet connection.

• Highly Competitive USD Pay: Receive an outstanding, market-leading salary in USD, exceeding standard market offerings.

• Paid Time Off: We prioritize your well-being. Our paid time off policies ensure you have the opportunity to relax and recharge as needed.

• Work with Autonomy: Experience the freedom to manage your schedule as long as the work is completed. Focus on results rather than the clock.

• Work with Top American Companies: Enhance your skills by engaging in innovative, high-impact projects with leading U.S. companies.