Consultant, Data Engineer | Databricks

Nationwide Mutual Insurance Company; United States; Hybrid; USD 118,000 - 222,000; Full time

Benefits offered by this job

Medical/dental/vision

Life insurance

Disability coverage

Paid time off

Holidays

401(k) match

Pension plan

Business casual attire

Job summary

Nationwide Mutual Insurance Company in Columbus, OH is seeking a Data Engineer to support ITDM Modernization and the Enterprise Data Lakehouse. This hybrid role requires in-office presence two days per week and candidates must be within a commutable distance to Columbus.

You will design and optimize Databricks pipelines, write Python/SQL data transformations, and ensure data quality across a scalable lakehouse while collaborating with engineers, product managers, architects, and stakeholders to

Qualifications

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

Responsibilities

• Design and build Databricks and Delta Lake data pipelines for ITDM data into the Enterprise Data Lakehouse.
• Develop Python and SQL transformations, data models, and data-quality checks.
• Establish scalable lakehouse patterns for ingestion, harmonization, and downstream consumption.
• Collaborate with Altoids engineers, product managers, architects, analysts, and stakeholders to translate ITDM needs into solutions.
• Troubleshoot pipeline and data-quality issues and contribute to monitoring and production support.
• Create reusable engineering patterns and documentation to strengthen the EDL foundation.

Skills

Databricks

Delta Lake

Python

SQL

Education

Bachelors in CS or related field

Tools

Azure

AWS

Redshift

S3

EC2

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.

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.

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.

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 solutions are protected from threats and vulnerabilities.
• 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.

Reporting Relationships:

Reports to Director or AVP Data Leader.

Typical Skills and Experiences:

Education:

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.

License/Certification/Designation:

Certifications are not required but encouraged.

Experience:

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 a plus.

Knowledge, Abilities and 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.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring manager's leader and HR Business Partner.

Values:

Regularly and consistently demonstrates the Nationwide Values.

Job Conditions:

Overtime Eligibility:

Exempt (Not Eligible)

Working Conditions:

Normal office environment.

ADA:

The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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
• and more.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

NOTE TO EMPLOYMENT AGENCIES:

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.

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