Remote opportunity at
TebraData Engineer
Tebra seeks a Data Engineer to focus on artificial intelligence and machine learning within its remote engineering team. This position involves building, maintaining, and optimizing the…
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About This Role
Tebra seeks a Data Engineer to focus on artificial intelligence and machine learning within its remote engineering team. This position involves building, maintaining, and optimizing the underlying data infrastructure that powers intelligent product features. The person in this role will collaborate directly with software engineers, data scientists, and machine learning engineers to turn complex healthcare data into dependable datasets and real-time features for machine learning models. Tebra operates as an…
Job Description
Tebra seeks a Data Engineer to focus on artificial intelligence and machine learning within its remote engineering team. This position involves building, maintaining, and optimizing the underlying data infrastructure that powers intelligent product features. The person in this role will collaborate directly with software engineers, data scientists, and machine learning engineers to turn complex healthcare data into dependable datasets and real-time features for machine learning models.
Tebra operates as an all-in-one platform built for independent healthcare practices, combining electronic health records, billing, automation, marketing, and telehealth solutions to help clinicians streamline operations. This hands-on engineering position suits professionals who want to design scalable pipelines, improve data quality, and support production inference on modern platforms.
The base compensation for Zone 1 falls between $128,000 and $145,200 USD, with specific pay determined by experience, qualifications, and geographic location. Eligible team members also have access to variable pay, healthcare benefits, and wellbeing perks.
Responsibilities
- Design, build, and maintain scalable data pipelines for model monitoring, feature extraction, and training data generation
- Develop and enhance data systems supporting analytics and machine learning workloads, including lakehouse and feature store technologies
- Monitor production pipelines to identify failures and data quality issues while implementing reliability and freshness improvements
- Engage in engineering design discussions to help drive technical choices regarding data architecture
- Create reusable components like automated quality checks, schema validation, and testing frameworks
- Translate business needs into scalable data solutions supporting analytics and machine learning use cases
- Optimize Spark workloads, SQL queries, and data processing pipelines for better performance and scalability
- Cooperate with machine learning engineers on MLOps practices encompassing data versioning, lineage, and reproducibility
- Deconstruct technical workloads into manageable tasks for delivery within an agile team
Requirements
- Minimum 3 years of professional background in software engineering, data engineering, or a related domain
- At least 2 years of practical experience creating and supporting production data pipelines for reporting, analytics, or machine learning
- Solid proficiency in Python and SQL for developing production-grade data pipelines
- Experience utilizing distributed data platforms and modern processing technologies like Spark, Airflow, or Kafka
- Familiarity with cloud data platforms including Snowflake, Databricks, Delta Lake, or equivalent lakehouse systems
- Knowledge of data modeling, governance, and warehousing best practices
- Understanding of machine learning data workflows such as feature engineering and training datasets
- Background in deploying production pipelines equipped with monitoring, testing, and CI/CD procedures
Core Skills
Benefits
- Variable pay eligibility
- Healthcare benefits
- Dell discounts for work-from-home basics
- Gympass fitness access
- Telus Employee Assistance Program for mental health resources
- Wellness and childcare subsidies as well as education discounts for Costa Rica employees
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the role is remote within the United States.
What is the salary range for this role?
For Zone 1 (National Average), the base pay ranges from $128,000 to $145,200 USD. Compensation for other zones is determined by geographic location and experience.
What experience is required to apply?
Applicants must have at least 3 years of professional experience in data engineering, software engineering, or a related field, along with 2 or more years of hands-on experience building and maintaining production data pipelines.
Sample Interview Questions
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