About Park National
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Company size
1,001 - 5,000 Employees
Headquarters location
Newark, OH, US
Year founded
1992
$105.20K - $126.40K/yr
Other
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Job description
Description
Education High School (required)
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
*Flexible Work Arrangement:1 day a week on-site in Newark, Ohio & 4 days remote. Must have transportation to our headquarters in Newark, Ohio to be considered for the role.
RESPONSIBILITIES #Ll-Hybrid
- Builds and maintains data semantic models to support analytics and business intelligence use cases.
- Designs, develops, and manages data pipelines using DBT to ensure reliable data transformation and delivery.
- Collaborates with data scientists, Data Engineers, and business stakeholders to translate business requirements into technical solutions.
- Builds and maintains strong cross-functional relationships to support strategic data and technology initiatives.
- Provides support for developing and optimizing scripts and data workflows integrated into banking applications.
- Demonstrates proficiency in SQL/Python and experience with enterprise reporting tools such as Tableau or Power BI for data validation and insights.
- Transforms and prepares raw data into structured formats suitable for analysis and building AI Agents.
- Ability to pick up NLP based coding in Snowflake and DBT.
EDUCATION - CERTIFICATIONS - WORK EXPERIENCE
- High School Diploma or equivalent required
- 2yr associate degree in IT, Computer Programming, Computer Science or other related discipline required
- Project or professional experience with basic programming relative to scripting language in reporting software, experience with SQL required.
- Python language scripting skills required.
SCHEDULE
Typical office hours are M-F 8a-5p. This position is non-exempt and full time (40 hours per week.)
This position must be able to remain in a stationary position a minimum of 75% of the time, constantly operate a computer, and be able to be in constant communication with coworkers and stakeholders to discuss and exchange accurate information.
QualificationsEducation High School (required)
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
parknationalcorp.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Software Engineer?
A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.
Q: What is the career path for a Data Software Engineer?
A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.