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Data Engineering Specialist (Hybrid)

Selective Insurance Group

Charlotte, NC
Full Time
Senior
106k-146k
4 days ago

Job Description

About the Role

Selective Insurance is seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. The group is responsible for all Data Engineering, Machine Learning Engineering, Analytics and Reporting for the Claims business area. The company is a midsized U.S. domestic property and casualty insurance provider with nearly 100 years of strong financial performance, recognized as a Great Place to Work and in Forbes Best Midsize Employers in 2024. Employees are encouraged to be their true, unique selves and contribute diverse talents and perspectives to shared success.

Key Responsibilities

  • Hands on development and support of new or existing data applications.
  • Work closely with the lead to create/review low level implementation designs and understand high level data flow designs developed by Data Architects.
  • Provide technical guidance to the team and work on implementing complex data solutions.
  • Support the design, development, code reviews, testing, deployment, and documentation of Data Engineering and Data Integration Applications.
  • Scale and optimize schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments.
  • Provide technical leadership and mentor junior data engineers.
  • Collaborate with Product Owners, Product Managers, Program Managers, Scrum Masters, and Team Members in a Scaled Agile framework.
  • Monitor the health of data pipelines and develop contingency plans for failures.
  • Maintain detailed documentation to support downstream integrations.
  • Provide support for production issues.

Requirements

  • 5-7 years of experience in Data Warehousing, Data Integration, or Data Engineering projects.
  • Expert-level proficiency in Python, SQL, and Spark.
  • Strong experience with cloud platforms (Azure, AWS, or GCP).
  • Expert level experience in Databricks and Delta Lake.
  • Proven track record of building enterprise-scale data platforms supporting analytics and machine learning.
  • Experience with streaming architectures (Kafka, Kinesis) and event-driven data processing.
  • Strong knowledge of data security, encryption, and access control in regulated environments.
  • Advanced working knowledge of SQL and query optimization.
  • Experience developing and managing CI/CD pipelines.
  • Good understanding of Data Structures and Data Models.
  • Experience with analytical platforms like PowerBI, AzureML, or Synapse.
  • Excellent communication skills.

Nice to Have

  • P&C Insurance experience.
  • Bachelor's degree in computer science or related engineering field.
  • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
  • Understanding of GenAI, LLMs, and their implementation for business use cases.

Qualifications

  • Relevant education, qualifications, and experience as specified in the requirements.

Benefits & Perks

  • Competitive base salary with incentive plan eligibility.
  • Comprehensive health care plans.
  • Retirement savings plan with company match.
  • Discounted Employee Stock Purchase Program.
  • Tuition assistance and reimbursement programs.
  • Paid time off plans.

Working at Selective Insurance Group

Selective is committed to promoting a welcoming culture that celebrates diversity, equity, and inclusion. The company values individual opinions, beliefs, abilities, and perspectives, and encourages employees and partners to embrace acceptance, address biases, and foster diverse viewpoints to support continued success.

Apply Now

Job Details

Posted AtJul 19, 2025
Job CategoryData Engineering
Salary106k-146k
Job TypeFull Time
Work ModeHybrid
ExperienceSenior

Job Skills

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About Selective Insurance Group

Website

selective.com

Company Size

1001-5000 employees

Location

Charlotte, NC

Industry

Direct Insurance (except Life, Health, and Medical) Carriers

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