Consultant, Data Engineer (Annuity Data Platform)

If youre passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results then Nationwides Information Technology team could be the place for you! At Nationwide on your side goes beyond just words. Our customers are at the center of everything we do and were looking for associates who are passionate about delivering extraordinary care.

This role will work a hybrid schedule coming into the Columbus Ohio (preferred) Des Moines Iowa or Scottsdale Arizona office 2 days (Wednesday & Thursday) per week.

Annuity Modernization team is looking for a highly experienced and technically proficient Consultant Data Engineer to design build and optimize scalable data solutions across cloud and hybrid environments. This is a hands-on individual contributor role focused on engineering excellence innovation and delivering high-quality data products.

Key Responsibilities

Implement robust data pipelines and lakehouse solutions using Snowflake and other cloud-native technologies.

Develop and maintain ETL / ELT workflows using tools like Talend Python ensuring performance scalability and reliability.

Write and optimize complex SQL queries across multiple RDBMS platforms (Postgres Oracle SQL Server).

Build containerized data applications using Kubernetes and cloud services (AWS).

Design and manage data orchestration workflows using tools like UAC.

Collaborate with data analysts data testers and business stakeholders to understand data needs and deliver solutions.

Ensure data quality lineage and observability across the data lifecycle.

Contribute to technical standards best practices and reusable frameworks.

Required Qualifications

7 years of hands-on experience in data engineering or related roles.

Deep expertise in Snowflake platform SQL and ETL tools (Talend preferred).

Strong programming skills in Python and / or Java.

Experience with Kubernetes and containerized application development.

Familiarity with cloud platforms (AWS).

Proven ability to solve complex data problems and optimize performance.

Excellent communication and collaboration skills.

Preferred Qualifications

Experience in financial services insurance or other regulated industries.

Knowledge of medallion architecture and data harmonization frameworks.

Exposure to data governance lineage tracking and SLA monitoring.

#LI-AC1

Job Description Summary

Nationwides 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 youll 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. Youll 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.

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 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 managers 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. To learn more about the benefits we offer click here.

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.

Smoke-Free Iowa Statement : Nationwide Mutual Insurance Company its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act individuals may contact the Smokefree Air Act Helpline at .

NOTE TO EMPLOYMENT AGENCIES :

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Required Experience :

Contract

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1