Senior Data Engineer - Databricks, PySpark & Healthcare

G2O; Cleveland (OH); Hybrid; USD 120,000 - 180,000; Full time

Job summary

G2O in Ohio is seeking a Senior Data Engineer to design, develop, and optimize scalable data integration pipelines and data solutions. This hands-on role focuses on Databricks, Spark/PySpark, Python, SQL, Delta Lake, and Unity Catalog to deliver reliable data products for healthcare stakeholders.

You will work on-site 3 days a week in a hybrid setting, collaborating with technical teams and business partners to translate needs into effective data solutions and support analytics and reporting.

Qualifications

• Hands-on data engineering experience with ETL/ELT and pipelines.
• Advanced experience with Databricks, Spark/PySpark, Python, and SQL.
• Experience with Delta Lake and Unity Catalog.
• Strong data modeling and data quality skills.
• Healthcare payer data experience preferred (claims, membership, eligibility, provider data).
• Experience with mainframe technologies is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize batch-oriented data workflows using Databricks and PySpark.
• Profile data to improve quality, reliability, and performance.
• Design data models and troubleshoot complex data issues.
• Partner with stakeholders to translate business needs into data solutions.
• Support reporting and analytics with a data engineering focus.

Skills

ETL/ELT pipelines

Data integration pipelines

Problem-solving

Communication with stakeholders

Tools

Databricks

Spark/PySpark

Python

SQL

Delta Lake

Unity Catalog

Snowflake

JCL/COBOL/DB2/OS390

Job description

G2O in Ohio is seeking a Senior Data Engineer to design, develop, and optimize scalable data integration pipelines and data solutions. This hands-on role focuses on Databricks, Spark/PySpark, Python, SQL, Delta Lake, and Unity Catalog to deliver reliable data products for healthcare stakeholders.

You will work on-site 3 days a week in a hybrid setting, collaborating with technical teams and business partners to translate needs into effective data solutions and support analytics and reporting.