Sr Analyst, Data Engineer

Nationwide•Columbus, OH

7h•Hybrid

About The Position

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. 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

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.
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.
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.

Nice To Haves

Insurance or financial services domain knowledge is a plus.
Experience working in Agile teams, including familiarity with Lean, Kanban, or Scrum methodologies.
Insurance/financial services industry knowledge a plus.
Graduate studies in business, statistics, math, computer science or a related field are a plus.

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.

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