Data Engineer

About the role

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.

Pay and benefits

We are dedicated to attracting and retaining top talent with competitive and fair compensation. For this position, this range reflects our Zone 1 (National Average) pay band. Your specific compensation is thoughtfully determined by your experience, qualifications, the specific requirements of the role, and your Geo Zone. Our geo-zone system ensures your pay is competitive for your location, recognizing varying costs of labor across regions.

Our four geo zones are designed to reflect this

• Zone 1: National Average
• Zone 2: Moderately Higher Cost Regions
• Zone 3: High-Cost Regions
• Zone 4: Lower-Cost Regions

Beyond base compensation, Tebra offers eligible employees the opportunity for variable pay and a robust benefits package, reflecting our commitment to your overall well-being. In compliance with California pay transparency laws, the specific compensation range applicable to your Geo Zone will be shared during your initial talent screen.

Zone 1 (National Average) $128,000—$145,200 USD

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 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.

Note

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• As part of our commitment to a fair and efficient hiring process, Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings.
• This technology records and transcribes interviews to help us ensure consistency, reduce bias, and make more informed hiring decisions.
• By applying for this position, you acknowledge that your interview may be recorded.