Data Engineer, Lakehouse & Databricks

National Black MBA Association; Columbus (OH); Hybrid; USD 118,000 - 222,000; Full time

Benefits offered by this job

Medical/dental/vision

Life insurance

Disability coverage

Paid time off

Holidays

Unity Day

401(k) match

Pension plan

Business casual

Job summary

Nationwide is seeking a Data Engineer to join the Altoids line within the Enterprise Data Office in Columbus, OH. You will design Databricks pipelines and Delta Lake layers, develop Python/SQL transformations, and ensure data quality across a scalable data lakehouse architecture.

You will collaborate with engineers, product managers, architects and business stakeholders in an Agile environment to deliver reliable data products and support ITDM modernization initiatives.

Qualifications

• 3+ years of hands-on experience with Databricks, Delta Lake, Python and SQL.
• Experience building enterprise data pipelines and lakehouse/data-platform solutions.
• Understanding of data quality, data modeling, performance optimization and production operations.
• Clear communication, collaborative Agile teamwork, and translating data needs into maintainable solutions.

Responsibilities

• Design and build Databricks and Delta Lake data pipelines for ITDM data into Enterprise Data Lakehouse layers.
• Develop Python and SQL transformations, data models, and data-quality checks.
• Establish scalable lakehouse patterns for ingestion, harmonization, curation, and downstream consumption.
• Partner with engineers, product managers, architects, analysts and stakeholders to translate ITDM needs into technical solutions.

Skills

Databricks

Delta Lake

Python

SQL

Data pipelines

Data quality

Agile teamwork

Education

Undergraduate studies in computer science / MIS / related field

Tools

JIRA

Jenkins

Confluence

Job description

Nationwide is seeking a Data Engineer to join the Altoids line within the Enterprise Data Office in Columbus, OH. You will design Databricks pipelines and Delta Lake layers, develop Python/SQL transformations, and ensure data quality across a scalable data lakehouse architecture.

You will collaborate with engineers, product managers, architects and business stakeholders in an Agile environment to deliver reliable data products and support ITDM modernization initiatives.