Sr. Data Engineer (Hybrid)
Selective Insurance
Charlotte, NC · Posted November 9, 2026
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November 2026
- #2Best cities for manufacturing and industrial jobs645 openings · of 100
- #2Cities with the most jobs that do not need a four-year degree in the Southeast298 jobs · of 72
- #3Best cities for software and engineering jobs in the Southeast654 openings · of 65
- #5Best cities for financial services jobs726 openings · of 90
- #6Cities hosting the most business conferences in the Southeast13 conferences · of 21
- #8Best cities for healthcare pay after cost of living$143k · of 24
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- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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About the job
About Us
At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work® in 2025 for the sixth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.
Overview
Selective Insurance is seeking an energetic and collaborative Sr. Data Engineer to work on data and analytics projects supporting the Customer Analytics team within the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for the Marketing, Customer Experience and Contact Center business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. The candidate must be hands-on with very good technical skills and a proven track record of project delivery.
Responsibilities
Hands on development and support of new or existing data applications.
Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design
Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.
Provide technical guidance to the team for implementing complex data solutions.
Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
Maintain detailed documentation to support downstream integrations
Provide support for production issues
Performs activities of a scrum master
Identify technology trends and explore opportunities for use within the organization
Qualifications
Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects
Ability to effectively work well with people in other departments and/or outside of the enterprise.
Proficient in SQL.
Experience working within Azure ecosystem
Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers
Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse
Experience using Python or Scala.
Experience in Azure DevOps and Github is preferred
P&C Insurance experience is preferred
Possesses excellent communication skills.
Bachelor’s degree in computer science or related engineering field preferred.
Total Rewards
Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page .
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.
Pay Range
USD $106,000.00 - USD $146,000.00 /Yr. Additional Information
Selective is an Equal Employment Opportunity employer. That means we respect and value every individual’s unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences – and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.
For Massachusetts Applicants
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Hands on development and support of new or existing data applications.
Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design
Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.
Provide technical guidance to the team for implementing complex data solutions.
Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
Maintain detailed documentation to support downstream integrations
Provide support for production issues
Performs activities of a scrum master
Identify technology trends and explore opportunities for use within the organization
Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects
Ability to effectively work well with people in other departments and/or outside of the enterprise.
Proficient in SQL.
Experience working within Azure ecosystem
Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers
Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse
Experience using Python or Scala.
Experience in Azure DevOps and Github is preferred
P&C Insurance experience is preferred
Possesses excellent communication skills.
Bachelor’s degree in computer science or related engineering field preferred.