[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. Tebra is an all-in-one EHR+ platform designed for independent healthcare practices. They are seeking a Data Engineer focused on AI/ML to build and optimize data infrastructure, collaborating with various teams to support machine learning models and ensure high-quality data.

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

Benefits

• United States: In addition to our healthcare benefits, we also offer amazing perks!
• Need work from home basics? We offer a discount through Dell!
• We also offer a number of resources to help you keep your mind and body healthy.
• Check out Gympass for a great workout, or TelusEmployee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
• Costa Rica: To assist with all of life’s needs, Tebra also offers a wellness and childcare subsidy and a University/Education discount!
• We also offer a number of resources to help you keep your mind and body healthy.
• Check out Gympass for access to health and fitness apps, or Telus Employee Assistance Program to find mental health resources, along with other resources for everyday occurrences.

Company Overview

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