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Nationwide · 1 day ago

Specialist, Data Engineer

Columbus, OH

Full-time

Hybrid

Mid Level

$96K/yr - $144K/yr

3+ years exp

Nationwide is a company passionate about innovation and delivering extraordinary care to its customers. The Data Engineer role involves acquiring, curating, and publishing data for analytical or operational uses, ensuring that data is in a ready-to-use form for various consumers, including business users and data scientists.

BankingFinancial ServicesInsuranceLife Insurance

H1B Sponsor Likely

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

Data engineering conceptsETL processesToolsPythonSQLAmazon Web Services (AWS)Data modelingData architectureData governanceBusiness intelligence toolsMachine learning conceptsAgilityBusiness acumenInnovation mindsetAgile methodologiesCommunication skillsCritical thinkingAdaptability

Required

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

Preferred

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

Certifications are not required but encouraged

Insurance/financial services industry knowledge a plus

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

And more.

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

http://nationwide.com

H1B Sponsorship

Nationwide has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (8)

2022 (2)