Nationwide
Specialist, Data Engineer
Nationwide invites you to apply for the Specialist, Data Engineer role. At Nationwide® “on your side” goes beyond just words. Our customers are at the center of everything we do, and we are looking for associates who are passionate about delivering extraordinary care.
This is a hybrid position with expectations to be in the Columbus, Ohio office 2 days a week on Wednesdays & Thursdays.
The Ideal Candidate
Technical Skills
Proficiency in data engineering concepts, including data pipelines, data management, and data quality
Experience with Extract, Transform, Load (ETL) processes and tools
Strong programming skills, especially in Python and SQL
Hands‑on experience with cloud platforms, particularly Amazon Web Services (AWS)
Data modeling and data architecture expertise
Familiarity with data governance and controls
Knowledge of business intelligence (BI) tools and dashboard/reporting solutions
Understanding of machine learning concepts and their application in data engineering
Soft Skills
Strong communication skills, both written and verbal
Critical thinking and problem‑solving abilities
Agility and adaptability in a fast‑paced, collaborative environment
Business acumen and the ability to translate business needs into technical solutions
Innovation and continuous learning mindset
Ability to work effectively within Agile methodologies
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.
Key Responsibilities
Provides basic to moderate technical consultation on data product projects by analyzing end‑to‑end data product requirements and existing business processes to lead design, development and implementation of data products.
Produces 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.
Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
Creates simple to moderate business‑user access methods to structured and unstructured data by 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.
Assists the 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 reusable for future code changes.
Practices code management and integration with engineering Git principle and practice repositories.
May perform other responsibilities as assigned.
Reporting Relationships: Reports to Manager/Director Data Leader.
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 Three to five years of relevant experience with data quality rules, data management organization/standards, practices and software development. Experience in data warehousing, statistical analysis, data models, and queries. One to three years’ experience with cloud technology and infrastructure including security and access management. Insurance/financial services industry knowledge a plus.
Knowledge, Abilities and Skills Data application and practices knowledge. Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Good problem solving, oral and written communication skills.
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: 18 days for new associates, 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
More benefits available
Equal Opportunity Employer 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.
Salary Information National salary range for Specialist, Data Engineer : $95,500.00 – $177,500.00
Expected starting salary range for Specialist, Data Engineer : $95,500.00 – $143,500.00
Seniority Level Mid-Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Insurance
#J-18808-Ljbffr
This is a hybrid position with expectations to be in the Columbus, Ohio office 2 days a week on Wednesdays & Thursdays.
The Ideal Candidate
Technical Skills
Proficiency in data engineering concepts, including data pipelines, data management, and data quality
Experience with Extract, Transform, Load (ETL) processes and tools
Strong programming skills, especially in Python and SQL
Hands‑on experience with cloud platforms, particularly Amazon Web Services (AWS)
Data modeling and data architecture expertise
Familiarity with data governance and controls
Knowledge of business intelligence (BI) tools and dashboard/reporting solutions
Understanding of machine learning concepts and their application in data engineering
Soft Skills
Strong communication skills, both written and verbal
Critical thinking and problem‑solving abilities
Agility and adaptability in a fast‑paced, collaborative environment
Business acumen and the ability to translate business needs into technical solutions
Innovation and continuous learning mindset
Ability to work effectively within Agile methodologies
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.
Key Responsibilities
Provides basic to moderate technical consultation on data product projects by analyzing end‑to‑end data product requirements and existing business processes to lead design, development and implementation of data products.
Produces 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.
Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
Creates simple to moderate business‑user access methods to structured and unstructured data by 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.
Assists the 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 reusable for future code changes.
Practices code management and integration with engineering Git principle and practice repositories.
May perform other responsibilities as assigned.
Reporting Relationships: Reports to Manager/Director Data Leader.
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 Three to five years of relevant experience with data quality rules, data management organization/standards, practices and software development. Experience in data warehousing, statistical analysis, data models, and queries. One to three years’ experience with cloud technology and infrastructure including security and access management. Insurance/financial services industry knowledge a plus.
Knowledge, Abilities and Skills Data application and practices knowledge. Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Good problem solving, oral and written communication skills.
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: 18 days for new associates, 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
More benefits available
Equal Opportunity Employer 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.
Salary Information National salary range for Specialist, Data Engineer : $95,500.00 – $177,500.00
Expected starting salary range for Specialist, Data Engineer : $95,500.00 – $143,500.00
Seniority Level Mid-Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Insurance
#J-18808-Ljbffr