Consultant, Data Engineer (Tech Lead)

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.

This role will work a hybrid schedule coming into the Columbus, Ohio office 2 days (Wednesday & Thursday) per week.

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

Be at the forefront of building our new cloud-native Annuity Data Platform. If you’re passionate about modern data platforms and leading strong data engineers, we invite you to apply for this role in the Annuity Modernization program.

Responsibilities and Required Skills

• Lead the design and delivery of scalable, production-grade data products across cloud and hybrid environments, with deep hands-on expertise in Snowflake, Python, and modern data engineering practices.

• Provide technical leadership to a global team of 5–6 data engineers, collaborating with analysts, QA, and business partners to translate requirements into robust, high-quality data solutions.

• Develop and optimize complex ETL/ELT workflows and SQL workloads across Postgres, Oracle, SQL Server, and Snowflake, ensuring reliability, performance, and maintainability at scale.

• Engineer and deploy containerized data applications using Kubernetes and cloud platforms (AWS preferred), and design/manage orchestration workflows using UAC or similar tools.

• Drive data quality, lineage, observability, and engineering best practices, contributing to and enforcing standards, frameworks, and repeatable patterns across the broader engineering team.

• Deep experience writing, tuning, and optimizing complex SQL across multiple RDBMS systems.

• Strong troubleshooting skills with the ability to solve complex data pipeline and performance issues.

• Excellent communication, collaboration, and problem‑solving skills.

• Experience in financial services or insurance.

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Job Description Summary

Nationwide’s industry leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future forward data enabled culture, we want to hear from you.

As a Data Engineer you’ll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready-to-use data can be for both real time and batch data processes and may include unstructured data. Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks. You’ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.

Job Description

Key Responsibilities: 

• Consults on complex data product projects by analyzing moderate to complex end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.

• Responsible for producing data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration.

• Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint.

• Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology so