Senior Databricks Engineer: Healthcare Data Pipelines

Tixy; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Tixy is seeking a Senior Databricks Engineer with healthcare domain experience to design, develop, and optimize scalable data pipelines on Databricks and cloud platforms. You will work with healthcare data such as claims, member and provider data, implementing data quality and governance while collaborating with data architects and stakeholders.

Ideal candidates have hands-on Databricks, Spark, PySpark, and SQL skills, plus Delta Lake expertise and knowledge of HIPAA privacy requirements.

Qualifications

• 5+ years of data engineering experience in a healthcare setting.
• Hands-on Databricks, Spark, PySpark, and SQL expertise.
• Experience with Delta Lake and Lakehouse concepts.
• Knowledge of HIPAA and data privacy requirements.
• Cloud platform experience across Azure/AWS/GCP is preferred.

Responsibilities

• Design, develop and maintain scalable data pipelines on Databricks.
• Build and optimize ETL/ELT pipelines for healthcare data.
• Develop data solutions using Delta Lake and Lakehouse architecture.
• Work with healthcare datasets such as claims and member data.
• Implement data quality, monitoring, and security controls.
• Collaborate with data scientists, architects, and stakeholders.
• Participate in CI/CD and Databricks governance practices.

Skills

Databricks

Apache Spark

PySpark

SQL

Delta Lake

Cloud platforms

HIPAA knowledge

Healthcare domain experience

Education

Bachelor's degree

Tools

Databricks Workflows

Databricks Jobs

Databricks notebooks

Azure Data Lake Storage

Azure Synapse

Terraform / IaC

Job description

Tixy is seeking a Senior Databricks Engineer with healthcare domain experience to design, develop, and optimize scalable data pipelines on Databricks and cloud platforms. You will work with healthcare data such as claims, member and provider data, implementing data quality and governance while collaborating with data architects and stakeholders.

Ideal candidates have hands-on Databricks, Spark, PySpark, and SQL skills, plus Delta Lake expertise and knowledge of HIPAA privacy requirements.