Description:

Build, maintain, and optimize data infrastructure for AI/ML features at Tebra.
Collaborate with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.

Requirements:

3+ years of experience in Data Engineering or related field.
2+ years of experience with production data pipelines for analytics or machine learning.
Proficiency in Python and SQL; experience with Spark, Airflow, Kafka.
Familiarity with cloud-based data platforms like Databricks, Snowflake, or Delta Lake.
Understanding of data modeling, warehousing, and governance best practices.
Experience with CI/CD practices and monitoring production data pipelines.
Strong problem-solving skills and effective collaboration abilities.

Competitive salary range of $128,000 - $145,200 USD based on geo zone.
Robust benefits package including healthcare, wellness resources, and discounts for work-from-home essentials.

Skills

Benefits