Consultant, Data Engineer

Nationwide•Columbus, OH

1d•Hybrid

About The Position

If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive 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 does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program. This role will work a hybrid schedule coming into the Columbus, Ohio or Des Moines, Iowa office 2 days per week As the Data Engineer Lead for the PnC Data organization, this role is responsible for designing, building, and operationalizing end-to-end data solutions that enable advanced pricing capabilities. The position blends hands-on engineering with strategic execution, ensuring data products are performant, governed, and aligned with business and analytical needs. The role involves leading the development of data pipelines and architecture that support the full lifecycle of Enhanced Rate Making, from raw data ingestion to business value enablement. It requires designing and building scalable pipelines using Databricks, Spark, and other Databricks-native features, while applying best practices in data partitioning, performance tuning, and cost optimization to ensure efficient processing and storage. Solutions must be production-ready, incorporating monitoring, alerting, and cost-efficient design. A key responsibility is enforcing standards for data quality, lineage, and metadata management to ensure transparency and trust across stakeholders. The role also demands close collaboration with data scientists, actuaries, product owners, and platform teams to translate business requirements into technical deliverables. Finally, the position includes driving deployment and support of data products in production environments, ensuring they are reliable, maintainable, and scalable. 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.

Requirements

Five to eight years of relevant experience with data quality rules, data management organization/standards and practices.
Solid experience with software development on large and/or concurrent projects.
Experience in data warehousing, statistical analysis, data models, and queries.
Advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby).
Strong problem solving, oral and written communication skills.
Ability to influence, build relationships, negotiate and present to senior leaders.

Nice To Haves

Graduate studies in business, statistics, math, computer science or a related field are a plus.
Insurance/financial services industry knowledge a plus.

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.
Creates business user access methods to structured and unstructured data by such techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations and validation of data content.
Builds data cleansing, imputation, and common data meaning and standardization routines from source systems by understanding business and source system data practices and by using data profiling and source data change monitoring, extraction, ingestion and curation data flows.
Facilitates medium to large-scale data using cloud technologies – Azure and AWS (i.e. Redshift, S3, EC2, Data-pipeline and other big data technologies).
Collaborates with enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity
Writes and performs data unit/integration tests for data quality
With input from a business requirements/story, creates and executes testing data and scripts to validate that quality and completeness criteria are satisfied.
Can create automated testing programs and data that are re-usable for future code changes.
Practices code management and integration with engineering Git principle and practice repositories.
Participates as an expert and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.
May perform other responsibilities as assigned.

Benefits

medical/dental/vision
life insurance
short and long term disability coverage
paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
company-paid pension plan
business casual attire