About the role
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.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.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).
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.
What We Offer
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
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.
Why You’ll Like Working Here
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!