Data Engineer, Tebra
$128-145.2k
+ Variable pay opportunity
Complete operating system for modern healthcare
Be an early applicant
Complete operating system for modern healthcare
1001+ employees
Be an early applicant
$128-145.2k
+ Variable pay opportunity
1001+ employees
Company mission
To unlock better healthcare by helping independent practices bring modernized care to patients everywhere.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
The digital age has demanded that healthcare providers offer services that are more modern but human. Tebra – a marriage of Kareo and PatientPop – offers cloud-based clinical and practice management software for independent healthcare practices that strive to achieve this goal.
Its genesis, a company merger between clinical and financial software and a leader in practice growth technology, has led to an all-in-one platform that is the first of its kind to serve a complete operating system for practices. Whilst competition among similar infrastructure grows, it remains a huge market in which both patients and practitioners are clamouring for solutions, allowing space for new and existing companies to build.
Tebra serves over 150,000 providers , and plans to use its lastest funding to deepend the role of AI across its EHR+ platform. By embedding intelligent capabilities into everything from clinical documentation and revenue cycle management to patient experience and practice marketing, the company aims to reduce administrative burden while helping practices operate more efficiently and profitably at scale.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2025
$125m
EARLY VC
Jul 2022
$72m
EARLY VC
Total funding: $262m
Company benefits
- Competitive compensation packages
- Employee referral program
- Stock options
- Hybrid work model
- Equipment stipend when hired
- Monthly work-from-home subsidy
- Indoor-outdoor workspaces
- Flexible, paid time off
- 10 paid holidays
- Employee recharge days
- Financial health tools
- Gympass
- Fun Express
- Annual fitness challenge
- Obé Fitness
- Competitive medical, dental, and vision insurance
- 401k
- Employer-funded HSA
- Life and disability insurance
- Employee assistance program
- Accident insurance, critical illness insurance, legal & identity theft protection, pet discount program
- Mentorship program
- Professional development training
- Employee resource groups
- Dedicated DE&I
- Special events and speakers
- Community volunteer events
- Sponsored team events and sports
- Recognition Program
Company HQ
Corona Del Mar, Newport Beach, CA
Leadership
Dan Rodrigues
(Co-Founder & CEO)Previously co-founded Scout and Kareo, serving as CEO for both. Experience as a Software Engineer for RealNetworks and a Managing Partner for Skematix.
Mike Doktorczyk
(CFO)Mike joined Tebra in 2023 as a VP of Finance & Rev Ops, moving into the role of CFO in 2024. Prior to this, he spent nearly 4 years at USerTesting as a Senior VP of Finance.
Kyle Ryan
(CPO & CTO)Prior to joining Tebra in 2018, Kyle was a Director of Deals Strategy at Strategy& and a VP of Product Development at Intuit. He also spent over 13 years at Sony Online Entertainment as a Director/VP of Technology.
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