Specialist, Data Engineer

Nationwide•Columbus, OH

4d•Hybrid

About The Position

If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive 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 is a hybrid position with expectations to be in the Columbus, Ohio office 2 days a week on Wednesdays & Thursdays. This position will support the Nationwide Financial Life Solution Area by providing data engineering capabilities for the ongoing support of the Life Data Lakehouse. This role is part of a highly motivated and exceptional team focused on delivering high quality outcomes in support of the Nationwide mission. The ideal candidate possesses the following characteristics and/or experiences: 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 #LI-AC1 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.

Requirements

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
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
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.
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.

Nice To Haves

Graduate studies in business, statistics, math, computer science or a related field are a plus.
Insurance/financial services industry knowledge a plus.

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 in the 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 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.
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 re-usable for future code changes.
Practices code management and integration with engineering Git principle and practice repositories.

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