As a Sr Consultant, Data Engineer on the Partner Activation team you will be expected to be the expert on how to build trusted data products, using the proper engineering practices, platforms, and architecture. A master of your craft, you will help lead the way by supporting major data initatives across the enterprise. Activities may range from high level data design, to solving tough problems related to data pipelines, or maybe helping with DevOps/Data Ops best practices.
A successful candidate should possess the following skills and/or experience:
Successful history of end-to-end data solution delivery, with first-hand experience scoping, sizing, and leading complex engineering initiatives, accountable for milestones, SLAs, and production outcomes.
Expert level experience with cloud data platforms, frameworks, and lakehouse technologies (e.g. AWS, Databricks, Snowflake, Spark, Delta Lake/Iceberg).
Hands-on building robust data pipelines using tools such as Spark, Talend, Informatica, or native solutions such as Delta Live Tables, or Snowpark. With experience implementing robust data quality and observability practices defines SLOs and data contracts, implements data validation, profiling, anomaly detection, lineage, and alerting.
Strong software engineering in Python or similar. Applies TDD, modular design, and rigorous code reviews to produce maintainable, reusable components.
Implements and matures DevOps practices for data. Builds automated testing, environment strategies, versioned data, and pipeline releases using infrastructure as code, and utilizes modern automated deployment patterns
Demonstrated leadership and mentoring: uplifts team technical and soft skills, establishes engineering standards/patterns.
Ongoing innovation: identifies and evaluates opportunities to apply DataOps accelerators, and Generative AI to improve developer productivity (e.g., code/test generation), data curation, and delivery efficiency.
Proven stakeholder communication skills to clearly convey status, risks, architecture decisions, and trade-offs to both technical and non-technical audiences; influences outcomes without formal authority.
Supports maturing Nationwide IT capabilities and promotes reusable processes and work products; demonstrates standardized automation, secure data practices, and quality routines in data pipelines and information products.
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.Job Description
Key Responsibilities:
Consults on the most complex data product projects by analyzing complex end to end data product requirements and existing business processes to lead in 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 & exploration.
Translates business data stories into a technical story breakdown structure and work estimate so value and fit 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.
Effective in team processes such as scrum, Kanban, and other agile processes, and communication of progress, blockers, and translation of the code being created to the story or business requirements.
Creates 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.
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.
Leads large-scale data using cloud technologies – Azure and AWS (i.e. Redshift, S3, EC2, Data-pipeline and other big data technologies).
Collaborates with 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.
Participate as leader, mentor and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.
May perform other responsibilities as assigned.
Reporting Relationships: Reports to AVP or above 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: Ten or more years of relevant experience with database management, data centric applications. Extensive experience with software development on large projects/initiatives. Experience in structuring and leading complex analysis across one or more lines of business. Experience in working with large customers and/or prospect databases and sources. Three years’ experience with developing compelling stories and distinctive visualizations. Insurance/financial services industry knowledge a plus.
Knowledge, Abilities and Skills: 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, oral 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.
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.
Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247.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.
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