Consultant, Data Engineer | Databricks

Nationwide; Columbus (OH); Hybrid; USD 105,000 - 160,000; Full time

Job summary

Nationwide is seeking a Consultant, Data Engineer to join the Altoids line within the Enterprise Data Office. You will design and implement Databricks-based data pipelines and Delta Lake layers to support the Enterprise Data Lakehouse initiative in Columbus, OH.

You will develop Python/SQL transformations, partner with engineers and stakeholders, ensure data quality, and contribute to production support and scalable patterns in a hybrid in-office model (Columbus, OH, two days per week).

Qualifications

• At least 3+ years of hands-on Databricks/Delta Lake/Python/SQL experience.
• Experience building enterprise data pipelines and lakehouse or data-platform solutions.
• Understanding of data quality, modeling, performance, and production operations.

Responsibilities

• Design and build Databricks and Delta Lake data pipelines.
• Develop Python and SQL transformations, data models, and data-quality checks.
• Establish scalable lakehouse patterns for ingestion and consumption.
• Partner with Altoids engineers, PMs, architects, analysts and stakeholders.
• Troubleshoot pipeline and data-quality issues; support monitoring and production.
• Create reusable engineering patterns and documentation for the EDL.

Skills

Databricks

Delta Lake

Python

SQL

Data pipelines

Data quality

Job description

If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide’s Technology team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

The Consultant, Data Engineer will join the Altoids line within the Enterprise Data Office to support ITDM Modernization and the associated Enterprise Data Lakehouse (EDL) being created to enable it.

What you will do

• Design and build Databricks and Delta Lake data pipelines that move ITDM data into reliable, reusable EDL layers.
• Develop Python and SQL transformations, data models, and data-quality checks that support IT demand, capacity, cost, and related reporting needs.
• Help establish scalable lakehouse patterns for ingestion, harmonization, curation, incremental processing, and downstream consumption.
• Partner with Altoids engineers, product managers, architects, analysts, and business stakeholders to translate ITDM needs into technical solutions and sprint-ready work.
• Troubleshoot pipeline, data-quality, and performance issues and contribute to monitoring, documentation, and production support.
• Create reusable engineering patterns and documentation that strengthen the EDL foundation and accelerate future ITDM delivery.

What you bring

• At least 3+ years of strong hands-on experience with Databricks (, Delta Lake, Python, and SQL.
• Experience building and supporting enterprise data pipelines and lakehouse or data-platform solutions.
• Understanding of data quality, data modeling, performance optimization, and production operations.
• Ability to communicate clearly, work collaboratively in an Agile team, and turn complex data needs into maintainable solutions.

Success in this role means helping Altoids deliver a trusted, scalable Enterprise Data Lakehouse.

Work Authorization:

This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the STEM OPT Extension program.

Work Arrangement:

This role follows a hybrid schedule and requires in-office presence in our Columbus OH two days per week. Candidates must be based within a commutable distance to Columbus, Ohio.

For the full job description visit: https://nationwide.wd1.myworkdayjobs.com/en-US/Nationwide_Career/job/Consultant--Data-Engineer---Databricks_099719