128 applicants
Nationwide · 2 days ago
Consultant, Data Engineer
Ohio, United States
Full-time
Onsite
Mid, Senior Level
5+ years exp
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Responsibilities
Consults on complex data product projects by analyzing moderate to 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.
Creates business user access methods to structured and unstructured data by 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 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.
Participates as an expert and learner in team tasks for data analysis, architecture, application design, coding, and testing practices.
May Perform Other Responsibilities As Assigned.
Qualification
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Required
Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred
Five to eight 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
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
Preferred
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
Nine paid holidays
401(k) with company match
Company-paid pension plan
Business casual attire
Company
Nationwide
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.
10,001+ employees
Funding
Current Stage
Late StageLeadership Team
Jim Fowler
Chief Technology Officer
Ramon Jones
Executive Vice President and Chief Marketing Officer
Company data provided by crunchbase
