We9re looking for a motivated Data Engineer to join the NF Data Warehouse/Lakehouse team within Digital Back Office (DBO). This role involves the delivery of data solutions and managing data integration across various Nationwide Financial products. This is a great opportunity to work on impactful data solutions that support a wide range of Nationwide Financial products, including Annuities, Life, Retirement, and Corporate Solutions. In this role, you9ll help drive data integration efforts across platforms, working with a modern Snowflake based data Lakehouse. You9ll be responsible for acquiring, curating, and publishing data for both analytical and operational use cases, while also helping to shape the future of our data ecosystem.The ideal candidate will possess the following skills and experience:- Proficient in SQL.
- Strong proficiency in Snowflake (or equivalent) is essential
- Experience in ETL/ELT processes including Python
- Experience working in Lean, Agile, DevOps, and Cloud hosting environments.
- Excellent collaboration and communication skills.
This role will work a hybrid schedule coming into the Columbus, Ohio office 2 days per week on Mondays & Tuesdays. However, on occasion, applications from internal candidates working remotely who bring critical industry skills and relevant experience may be considered.This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.Job Description SummaryNationwide9s 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 you9ll 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. You9ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.
Job DescriptionKey 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.
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: 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 years9 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.
Other criteria, including leadership skills, competencies and experiences may take precedence.
Staffing exceptions to the above must be approved by the hiring manager9s 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.
BenefitsWe 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 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 Specialist, Data Engineer : $95,500.00-$177,500.00
The expected starting salary range for Specialist, Data Engineer : $95,500.00 - $143,500.00
