Sr Analyst, Data Engineer

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.

If you are passionate about the importance of data engineering and delivering clean, automated, integrated, and governed data required to fulfill our company’s most critical strategic objectives, then we have a great opportunity for you.  As a member of the Enterprise Data Office, the Data Engineer works closely with our Dev Line partners, Data Architects, business stakeholders, platform owners, and a host of other internal actors in the designing, building, and operationalizing of end-to-end data delivery solutions. 

This position combines hands-on data engineering, along with understanding both the strategic goals and desired capabilities of the business units we support.  It involves the development of data pipelines and application architecture spanning the gamut of data ingestion, harmonization, and curation to enable business value realization across numerous consumer tiers.  As new solutions are developed as part of Build activities, this role is also critical in working with application teams and other key business and IT stakeholders to aid them in the production hand-off, adoption, and ongoing management of new technologies, processes, and best practices. 

A successful candidate should possess the following skills and/or experience: 

• 2+ years of hands-on experience building data pipelines across common platforms and tools (e.g., Informatica, Databricks, Snowflake, Python based solutions). 
• Experience working with AWS cloud technologies, preferably including storage, compute, security, or automation components. 
• Proficiency with Python, SQL, and Unix, including the ability to write clear SQL queries and understand data integration and ETL/ELT concepts. 
• Familiarity with using AI‑enabled development tools to support coding, testing, and documentation activities. 
• Understanding of reusable engineering practices, such as standardized automation, secure data handling, and quality checks, and willingness to apply them in day-to-day work. 
• Experience contributing to application monitoring and alerting, and exposure to DevOps or CI/CD tools as part of regular development activities. 
• Interest in designing scalable solutions and contributing ideas to improve data engineering capabilities and patterns. 
• Basic understanding of data governance concepts, tools, and policies, with the ability to apply guidance in project work. 
• Strong communication and collaboration skills, with the ability to work effectively across business and technology teams. 
• Experience partnering with stakeholders or SMEs to clarify requirements and help shape solution designs. 
• Insurance or financial services domain knowledge is a plus. 
• Experience working in Agile teams, including familiarity with Lean, Kanban, or Scrum methodologies.

This role will work a hybrid schedule coming into the Columbus, Ohio office 2 days per week and current remote associates will also be considered.

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

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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: 

• Provides technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to assist in the design, development and implementation of data products.

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

• Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.

• Develops and maintains scaleable data pipelines for both streaming and batch requirements.

• Assists in building out new API integrations to support continuing increases in data volume and complexity.

• 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.

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:  One to three years of relevant experience with data quality rules, data management organization/standards or practices.  Experience with query languages, statistical software and data wrangling and provisioning tools. Experience analyzing trends and patterns in structured and unstructured data to support business problem solving. Insurance/financial services industry knowledge a plus.

Knowledge, Abilities and Skills:  Data application and practices knowledge. Skilled with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Good oral and written communication skills.

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

We have an array of benefits to fit your needs, including: 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. To learn more about the benefits we offer, click here.

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 Sr Analyst, Data Engineer : $76,000.00-$143,000.00

The expected starting salary range for Sr Analyst, Data Engineer : $76,000.00 - $115,000.00