Consultant, Data Engineer - Reference Data Management
OhioX
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Job summary
Nationwide Financial is seeking a data engineer/consultant to configure, integrate, and operate the Semarchy reference data platform. You’ll translate business requirements into models, rules, and workflows while collaborating with data owners and governance teams.
Responsibilities include building data loads, maintaining views and APIs, and ensuring data quality and security across Snowflake, Azure, and related systems. Hybrid work requires 2 days in-office weekly.
Qualifications
- Six to ten years of relevant experience with data quality rules and data management.
- Experience in data warehousing, data models and queries.
- Strong knowledge of SQL, Python, and modern data tooling.
Responsibilities
- Lead data product design and implementation for reference data.
- Build and operate data pipelines and integrations for product and fund data.
- Ensure data quality, lineage, metadata, and governance across platforms.
- Collaborate with data owners, stewards, and governance teams.
- Develop and maintain APIs and data access patterns for downstream apps.
Skills
Education
Tools
Job description
Are you passionate about being part of a team at a Fortune 100 company with nearly $70 billion in annual sales that delivers extraordinary care to help individuals and businesses prepare for and protect their future? If so, then Nationwide Financial could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers and partners are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.
This role is an individual contributor with a hybrid work expectation (2 days per week in the office). It is our intention to fill this role in Columbus, Ohio or Scottsdale, Arizona, however, on occasion, applications from internal candidates that are working remotely who bring critical industry skills and relevant experience may be considered.
Product and fund data supports important business processes across Nationwide. In this role, you’ll help develop a governed reference data capability that makes this information easier for teams and systems to use consistently. You’ll help establish trusted data definitions, clear stewardship practices, and reliable ways to share updates across the organization.
You’ll also contribute to Nationwide’s broader enterprise data strategy by helping extend this capability to additional data domains. Your work will support high-quality, traceable data and help teams deliver dependable insights and services.
Embedded within Nationwide Financial’s business organization, this is a hands‑on technical role focused on configuring, integrating, and operating the Semarchy reference data management platform. You’ll work close to the business while serving as the technical practitioner who turns business requirements into platform models, workflows, data loads, integrations, and maintained views and APIs. Semarchy is designed to be configured around business data and stewardship needs; you’ll ensure the resulting data is reliable, secure, and easy to use. Direct Semarchy experience is valuable, alongside practical data engineering and governance skills.
You’ll work with business data owners and stewards, who define the meaning of each data set, identify authoritative sources, and make business decisions about what is correct. You’ll configure and support the solution based on those decisions, including business rules and access controls, and stay engaged as data changes and issues arise. Business ownership stays with the domain; your contribution is the technical implementation and operation of the capability.
- Partner with business data owners and stewards to understand reference data needs, then translate their decisions into Semarchy models—for example, product and fund entities, attributes, relationships, and hierarchies.
- Configure validation and match/merge rules, along with authoring and approval workflows, so updates follow agreed business rules and stewardship practices.
- Recommend practical role and access patterns for people who create, review, and approve data; support new domains and users as they adopt the platform.
- Build and operate data loads and integrations that bring product and fund reference data from source systems into Semarchy and deliver approved data to Snowflake, the primary consumption path for most downstream applications, while supporting other required integrations.
- Maintain views and APIs that provide governed access where needed, without coupling consumers to the platform’s internal tables—for example, supporting an application that retrieves current, approved fund codes.
- Monitor pipelines, investigate failures, and reconcile records across sources, Semarchy, and destinations; add checks for accuracy, completeness, and timeliness.
- Break requirements into technical work, estimate delivery, and apply secure engineering practices as data flows and integrations are built and maintained.
- Work with data owners and stewards to document definitions and identify critical data elements—for example, clarifying what a product or fund code represents and the rules it must meet.
- Support quality profiling, lineage, metadata, and documentation so users can understand where reference data comes from, what it means, and how it should be used.
- Help embed governance standards in Semarchy workflows and quality checks, and partner with governance teams to address data issues and support adoption.
Business and technology teams can rely on well‑defined, governed product and fund data; updates are more controlled and traceable; and data can be shared across systems with fewer manual steps and less dependence on individual knowledge.
This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.
#LI-KD1
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, AI engineering, 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 of 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 including big data, relational and SQL databases, unstructured data technology, and programming languages.
- Consults on complex data product projects by analyzing moderate to complex end-to-end data product requirements and existing business processes to lead the design, development and implementation of data products.
- Responsible for producing 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 and exploration.
- Translates business data stories into a technical story breakdown structure and work estimate so value and fit can be assessed for a schedule or sprint.
- Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
- Creates business user access methods to structured and unstructured data by using 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.
- Builds data cleansing, imputation, and common data meaning and standardization routines from source systems by understanding business and source system data practices and by using data profiling and source data change monitoring, extraction, ingestion, and curation data flows.
- Facilitates medium- to large-scale data engineering using cloud technologies – Azure and AWS (i.e. Redshift, S3, EC2, Data-pipeline and other big data technologies).
- Collaborates with the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience and use of 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 business requirements and stories, creates and executes test data and scripts to validate that quality and completeness criteria are satisfied. Creates automated testing programs and reusable test data for future code changes.
- Practices code management and integration with engineering Git principle and practice repositories.
- Participates as an expert, leader, and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.
- Leads design decisions for complex data pipelines, integration patterns, and reusable engineering components within a product, platform, or domain.
May perform other responsibilities as assigned.
Reports to Director or AVP Data Management leader.
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.
Certifications are not required but encouraged.
Six to ten years of relevant experience with data quality rules, data management organization/standards and practices. Solid experience with software development on large and/or concurrent projects. Experience in data warehousing, statistical analysis, data models, and queries. One to three years’ experience with developing compelling stories and distinctive visualizations. Insurance/financial services industry knowledge a plus.
Data application and practices knowledge. Advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Strong problem-solving, verbal and written communication skills. Ability to influence, build relationships, negotiate and present to senior leaders.
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.
Regularly and consistently demonstrates the Nationwide Values.
Exempt (Not Eligible)
Hybrid to normal office environment.
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.
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.
We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from 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 Consultant, Data Engineer : $118,000.00-$222,000.00The expected starting salary range for Consultant, Data Engineer : $118,000.00 - $178,000.00
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