Tebra: Data Engineer
Headquarters: United States - Remote
Important Security Notice: Tebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging.
About the Role
As a Data Engineer focused on AI/ML, you’ll build, maintain, and optimize the data infrastructure that powers Tebra’s intelligent features. You’ll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.
This is a hands-on engineering role where you’ll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You’ll work on modern data platforms and gain experience building solutions that support both model training and production inference.
Your Area of Focus
- 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.
Your Professional Qualifications
- 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.
Compensation
Zone 1 (National Average): $128,000 – $145,200 USD
Note: Your specific compensation is thoughtfully determined by your experience, qualifications, the specific requirements of the role, and your Geo Zone. The specific compensation range applicable to your Geo Zone will be shared during your initial talent screen.
About Tebra
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. Designed to replace the clunky, fragmented tools built for corporate systems, Tebra connects EHR software, billing, automation, telehealth solution, and marketing — so providers can spend less time on admin and more time with patients. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout. Learn more at www.tebra.com.
Our Values
- Start with the Customer: We get to know our customers - and their patients - and look at the world through their lens.
- Keep It Simple: Healthcare is too complex. We aim to simplify it for everyone.
- Stay Entrepreneurial: We reject the status quo and solve problems with creativity, perseverance, and a bias to action.
- Better Together: We are diverse, humble, and collaborative. We put the team first and win together.
- Celebrate Success: Life is short and joy is underrated. We take time to have fun and celebrate success.
Perks & Benefits
- United States: In addition to our healthcare benefits, we offer amazing perks including work-from-home basics (Dell discount), Gympass for fitness, and the Telus Employee Assistance Program for mental health resources.
- Costa Rica: We offer a wellness and childcare subsidy, a University/Education discount, Gympass, and the Telus Employee Assistance Program.
Compliance & Privacy Disclosures
- Equal Opportunity: Tebra is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
- California Privacy: California residents should review our California-specific Privacy Notice.
- Fraud Prevention: If you would like to report a fraudulent Tebra job posting, please contact talentacquisition@tebra.com.
- Interview Process: Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings. By applying for this position, you acknowledge that your interview may be recorded.
To apply: Click here to apply via We Work Remotely