Consultant, Data Engineer | Databricks

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, 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.

About the role

This 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.

Responsibilities

• 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.
• Consult 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.
• Produce 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.
• Translate business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint.
• Apply secure software and systems engineering practices throughout the delivery lifecycle to ensure data and technology solutions are protected from threats and vulnerabilities.
• Create business user access methods to structured and unstructured data through 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.
• Build 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.
• Facilitate medium to large-scale data using cloud technologies – Azure and AWS (i.e., Redshift, S3, EC2, Data-pipeline, and other big data technologies).
• Collaborate with the enterprise DevSecOps team and other internal organizations on CI/CD best practices using tools like JIRA, Jenkins, Confluence, etc.
• Implement production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.
• Develop and maintain scalable data pipelines for both streaming and batch requirements and build out new API integrations to support continuing increases in data volume and complexity.
• Write and perform data unit/integration tests for data quality.
• Create and execute testing data and scripts to validate quality and completeness criteria with input from business requirements/stories. Create automated testing programs and data that are reusable for future code changes.
• Practice code management and integration with engineering Git principles and repositories.
• Participate as an expert and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.

Requirements

• 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.
• 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.
• One to three years’ experience with developing compelling stories and distinctive visualizations.
• Insurance/financial services industry knowledge is a plus.

Qualifications

• Undergraduate studies in computer science, management information systems, business, statistics, math, a related field, or comparable experience and education strongly preferred.
• Graduate studies in business, statistics, math, computer science, or a related field are a plus.
• Certifications are not required but encouraged.

Skills

• Data application and practices knowledge.
• 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.

Work Authorization

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

Schedule

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

Pay

The national salary range for Consultant, Data Engineer: $118,000.00-$222,000.00.

The expected starting salary range for Consultant, Data Engineer: $118,000.00 - $178,000.00.

Benefits

• Medical, dental, and vision insurance.
• 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.