Searching for remote data engineering roles? Tebra is looking for a skilled Data Engineer to help build and optimize their data infrastructure, enabling advanced AI and machine learning features.
About the Role
As a Data Engineer focused on AI/ML at Tebra, you'll be responsible for designing, building, and maintaining scalable data pipelines that transform complex healthcare data into actionable insights. This hands-on role requires collaboration with cross-functional teams to ensure high-quality data solutions.
About the Company
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. Designed to streamline operations and reduce clinician burnout, Tebra connects various healthcare solutions to enhance patient care. Over 42,000 private practices trust Tebra to improve their workflows.
Why This Job Stands Out
- Join a leading healthcare technology company focused on improving patient care
- Work remotely and enjoy a flexible work environment
- Contribute to innovative AI and machine learning projects in healthcare
- Collaborate with a diverse team of professionals dedicated to simplifying healthcare
Job Insights
Work TypeRemote work from home job
Who This Job Is For
- Professionals seeking remote data engineering jobs in the healthcare sector
- Candidates with experience in building production data pipelines for analytics or machine learning
- Individuals who want to work from home while collaborating with cross-functional teams
- Data engineers looking for remote roles that emphasize AI and machine learning solutions
- Filipino remote workers passionate about optimizing data systems and processes
What You Will Do
- Design, build, and maintain scalable data pipelines for feature extraction and model monitoring
- Develop and enhance data systems that support analytics and machine learning workloads
- Monitor production data pipelines and implement improvements for reliability and freshness
- Participate in engineering discussions and contribute to data architecture decisions
- Build reusable data engineering components, including automated data quality checks
What They Are Looking For
Skills & Experience
- 3+ years of experience in Data Engineering or Software Engineering
- Strong proficiency in Python and SQL for developing production-quality data pipelines
- Experience with modern data processing technologies like Spark, Airflow, and Kafka
- Familiarity with cloud-based data platforms such as Databricks and Snowflake
- Understanding of data modeling, warehousing, and governance best practices
What They Expect
- Strong problem-solving skills and attention to detail
- Ability to collaborate effectively across engineering and product teams
- Excellent communication skills and a desire to learn new technologies
- Experience deploying and supporting production data pipelines with CI/CD practices
What They Offer
- Competitive salary range: $128,000 , $145,200 USD
- Healthcare benefits and wellness resources
- Discounts through Dell for work-from-home essentials
- Access to Gympass for health and fitness
- Telus Employee Assistance Program for mental health support
Tips for Applicants
- Highlight your experience with data pipelines and relevant technologies in your application
- Demonstrate your problem-solving skills and attention to detail in your resume
- Prepare examples of past projects where you optimized data systems or improved data quality
- Showcase your ability to collaborate with cross-functional teams in your cover letter
Frequently Asked Questions
What technologies should I be familiar with for this role?
You should have experience with Python, SQL, Spark, Airflow, and cloud platforms like Databricks or Snowflake.
Is remote work fully supported for this position?
Yes, this is a fully remote position, allowing you to work from home.
What is the salary range for this Data Engineer role?
The salary range for this position is $128,000 to $145,200 USD, depending on experience.
