Senior Data & Platform Engineer – Veterinary Technology

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 35 minutes agoStatus: Live

Job Summary

Lead end-to-end data platform initiatives for a veterinary technology client, owning pipelines, warehousing, and observability. Build robust data workflows with Airflow, manage Snowflake, dbt transformations, and deploy on Kubernetes with Terraform. Collaborate across analytics, product, and full-stack teams to deliver scalable data products, ensure data quality, and enable near-real-time analytics in a fully remote team.

Location: Latin America

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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.

Key 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).
•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.

Experience:5+ yearsVeterinary technologyData engineeringRemote

Skills:AirflowSnowflakeDbtSQLPythonKubernetesTerraformDatadogAWSRDSS3DebeziumPostgreSQLGitCI/CD

Tech Stack:AirflowSnowflakeDbtSQLPythonKubernetesEKSTerraformDatadogAWSRDSS3DebeziumPostgreSQLRedshiftKafkaFlinkIcebergDelta LakeElixir

Company Brief

TrueLogic

TrueLogic builds custom web and mobile applications, offering product engineering, UX/UI design, and team augmentation services. They partner with startups and enterprises to deliver scalable software solutions, cloud integrations, and ongoing technical support.

Industry: Professional Services

Website

Loading job details...

Preparing the role view and application actions.

TrueLogic

4 weeks ago

Senior Data & Platform Engineer – Veterinary Technology

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 35 minutes agoStatus: Live

Job Summary

Location: Latin America

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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.

Key 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).
•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.

Experience:5+ yearsVeterinary technologyData engineeringRemote

Skills:AirflowSnowflakeDbtSQLPythonKubernetesTerraformDatadogAWSRDSS3DebeziumPostgreSQLGitCI/CD

Tech Stack:AirflowSnowflakeDbtSQLPythonKubernetesEKSTerraformDatadogAWSRDSS3DebeziumPostgreSQLRedshiftKafkaFlinkIcebergDelta LakeElixir

Company Brief

TrueLogic

Industry: Professional Services

Website