Senior Data Engineer – Veterinary Technology

🕒 June 29

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Truelogic Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

📋 Description

• 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.

🎯 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. • 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 (e.g., 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.

🏖️ Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.