Data Engineer

Summary

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. As a Data Engineer focused on AI/ML, you will build and optimize the data infrastructure that supports Tebra’s intelligent features, working closely with various teams to ensure high-quality datasets for machine learning models.

Responsibilities

• Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring
• Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies
• Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness
• Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation
• Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks
• Translate business requirements into scalable data solutions that enable analytics and machine learning use cases
• Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability
• Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility
• Break down technical work into manageable tasks and deliver high-quality solutions within an agile team

Skills

• 3+ years of professional experience in Data Engineering, Software Engineering, or a related field
• 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads
• Strong proficiency in Python and SQL with experience developing production-quality data pipelines
• Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms
• Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies
• Understanding of data modeling, data warehousing, and data governance best practices
• Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts
• Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices
• Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams
• Excellent communication skills and a desire to continuously learn new technologies and engineering practices

Qualifications

Must Haves

• 3+ years of professional experience in Data Engineering, Software Engineering, or a related field
• 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads
• Strong proficiency in Python and SQL with experience developing production-quality data pipelines
• Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms
• Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies
• Understanding of data modeling, data warehousing, and data governance best practices
• Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts
• Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices
• Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams
• Excellent communication skills and a desire to continuously learn new technologies and engineering practices

Benefits

• Variable pay
• Work from home basics
• Discount through Dell
• Gympass
• TelusEmployee Assistance Program to find mental health resources
• Costa Rica: wellness and childcare subsidy
• Costa Rica: University/Education discount
• Gympass for access to health and fitness apps
• Telus Employee Assistance Program to find mental health resources