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Specialist, Data Engineer
National Black MBA Association
- United States
- United States
Über
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.
This role will work a hybrid schedule coming into the Columbus, Ohio office 2 days per week and current remote associates will also be considered.
This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.
Qualifications
Minimum of 3 years performing complex data pipeline development across numerous platforms (e.g. Informatica, Databricks, Snowflake, native Python).
Minimum of 2 years development experience utilizing AWS cloud technologies (storage, container, compute, security, and automation).
Fluency in Python, SQL, and Unix. High proficiency with generating complex SQL queries is required. Ability to understand and explain complex data integration and extraction / transformation / load processes.
Demonstrated proficiency in utilizing AI tools to perform automated code development and testing tasks as part of typical daily work routine.
Actively promotes reusable processes, engineering patterns, and work products. Demonstrated success at applying standardized automation, secure data practices, and quality routines to data pipelines and information reporting solutions.
Routine development and deployment of application monitoring and alerting capabilities as part of standard pipeline build activities. Extensive experience utilizing DevOps and CI/CD tools as part of regular development activities.
Demonstrated history of converting innovative ideas into scalable, production ready solutions.
Knowledge of data governance tools, processes and policies, as well as influencing their adoption on projects driven by our IT and business partners.
Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations.
Demonstrated skill working directly with stakeholders, business partners, SMEs, systems peers, and cross‑functional teams to collaborate and gain agreement on target solution designs.
Experience providing skill coaching to junior resources, resources transitioning into newer skills and technologies, and mentees.
Insurance and Financial domain experience is highly desired.
Experience working in an Agile environment using Lean, Kanban and Scrum practices.
Key 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 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 reusable for future code changes.
Practices code management and integration with engineering Git principles and practice repositories.
May perform other responsibilities as assigned.
Reporting Relationships Reports to Manager/Director 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 : 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. Insurance/financial services industry knowledge a plus.
Knowledge, Abilities and Skills : Data application and practices knowledge. Moderate to advanced skills with modern programming and scripting languages (SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Good problem solving, oral and written communication skills.
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.
Equal Opportunity Employer 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.
Salary Range National salary range for Specialist, Data Engineer : $95,500.00 – $177,500.00
Expected starting salary range for Specialist, Data Engineer : $95,500.00 – $143,500.00
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Sprachkenntnisse
- English
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