If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Nationwide’s Information Technology team could be the place for you!
This is an individual contributor lead developer position within the NF RADS (Datawarehouse) area, expected to play a key leadership and delivery role in planning, developing, and deploying solutions across multiple lines and platforms/products for one of our most impactful business units.
If you are looking for an opportunity to lead the adoption and implementation of next generation technologies and capabilities and help grow and further develop high performing teams in the process - we want to talk to you!
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We are looking for someone who is a top-level technical expert in one or more highly specialized phases of applications programming. Provides technical consulting on complex projects. Devises or modifies procedures to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results. Responsible for program design, coding, testing, debugging, and documentation. Has full technical knowledge of all phases of applications programming.
Qualifications for this role include (but not restricted to):
6-8+ years of application development and maintenance experience
Ability to work in a fast-paced team environment
Solid communication, people interaction, and self-leadership skills
Learning Agility with a self-driven learning approach
Thought Leadership with strong ability to influence/lead Continuous Improvement
Experience developing software via Agile software development methodologies
Proven ability to document and share knowledge effectively
Proven ability to develop and drive results with standard Software engineering processes such as TDD/ATDD, paired programming, etc.
Cloud migration / development (AWS, Azure, etc.) experience
Technology depth and experience with systems integration, Batch Processing, APIs, Informatica (or similar ETL) development
Financial Services / Investments industry acumen (and/or data experience) is a plus
Eagle Investment Management systems experience (or ERP vendor software experience that includes accounting and finance related modules) is a plus
Technical skills:
AWS Products / Cloud Development / DevOps
Strong relational database / SQL experience
Strong Unix/Linux O/S skills and PERL (or similar) scripting ability
ETL Development and Implementation experience (PowerCenter / IICS)
Data Warehouse (or similar data centric asset) build and maintenance experience
Python scripting is a plus
Compensation Grade: G4
This role is currently working in a hybrid capacity. It collaborates in office with the team a few days every other week. Subject to change.
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.
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 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 from big data, relational and SQL databases, unstructured data technology, and programming languages.
Job Description
Key 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.
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.
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.
Reporting Relationships: Reports to Director or AVP 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: 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. 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.