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Nationwide · 9 hours ago

Specialist, Data Engineer

Columbus, OH

Full-time

Hybrid

Mid Level

$96K/yr - $178K/yr

3+ years exp

Nationwide is a company focused on creating innovative data solutions for the underwriting field. As a Data Engineer, you will be responsible for acquiring, curating, and publishing data for analytical or operational uses, ensuring data is ready-to-use for various stakeholders.

BankingFinancial ServicesInsuranceLife Insurance

No H1B

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

Qualification

SQLPythonData AnalysisData EngineeringAWSAzureDatabricksSparkCuriosityCommunication SkillsMentorshipProblem Solving

Required

Excels in Data Analysis and Profiling: Has a strong ability in source to target mappings and data profiling

Possesses Strong Technical Skills: Demonstrates programming skills for creating reusable coding frameworks using environment variables, parameters, and metadata. Has experience resolving data issues in the data pipeline. Is proficient in SQL, Python and/or PySpark, and has experience using Databricks or Spark, and the AWS or Azure ecosystems

Effectively Bridges the Gap: Communicates effectively with business stakeholders on requirements, data quality issues, and the utilization of data in the products produced by our team

Demonstrates Curiosity and Partnership: Shows a strong curiosity to understand data and its implications. This curiosity is not limited to technical aspects but extends to an organic partnership with the business to develop a deeper understanding over time

Exhibits Mentorship Excellence: Elevates team competency by imparting both technical acumen and insights to less experienced associates

Adapts and Learns Continually: Continually learns new tools, technologies, and practices to maintain the usage of best practices in analytics

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

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

Preferred

Experience creating streaming data would be considered a plus

Graduate studies in business, statistics, math, computer science or a related field are a plus

Insurance/financial services industry knowledge a plus

Certifications are not required but encouraged

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

Company

Nationwide

Glassdoor3.9

Nationwide, a Fortune 100 company based in Columbus, Ohio, is one of the largest and strongest diversified insurance and financial services organizations in the United States.

Founded in 1925

Columbus, Ohio, USA

10001+ employees