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Data Engineer

Buena Park, California, United StatesHybridFull TimePosted 2 months ago

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Role summary

LaBarre Oksnee Insurance Agency is seeking an experienced Data Engineer for a full-time, hybrid role in Aliso Viejo, CA. The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and solutions, managing the data infrastructure, and ensuring data is organized, secure, and efficiently utilized. Key responsibilities include data modeling, ETL processes, database management (SQL and NoSQL), and implementing analytics to support business decisions. The role requires proficiency in programming languages like Python, R, or Java, experience with cloud platforms (AWS, Azure, GCP), and strong SQL skills. Collaboration with various teams is essential for this role.

Company Description

LaBarre Oksnee Insurance Agency, headquartered in Aliso Viejo, CA, specializes in providing insurance solutions for homeowners associations and condominium associations. Renowned for its 'customer first' approach, LaBarre Oksnee has grown into one of the largest independent agencies in its niche across the United States. Since its establishment in the 1980s, the agency has drawn on decades of experience to help clients secure optimal insurance coverage at competitive rates. Their dedication to expertise and personalized service sets them apart in the industry.

Role Description

We are seeking an experienced Data Engineer for a full-time, on-site/hybrid role in Aliso Viejo, CA. As a Data Engineer, you will design, develop, and maintain robust data pipelines and solutions to ensure the effective management of our data infrastructure. Your responsibilities will include organizing raw data, developing and maintaining database systems, ensuring optimal data flow, and implementing analytics to drive business decisions. This critical role will collaborate with multiple teams to ensure data is accessible, secure, and efficiently utilized.

Qualifications

  • Proficiency in data engineering concepts, including data pipeline creation, data modeling, and ETL (Extract, Transform, Load) processes.
  • Strong familiarity with SQL, databases (SQL and NoSQL), and data architecture design.
  • Expertise in programming languages such as Python, R, or Java for data processing and analysis.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for data storage and computing.
  • Knowledge of data visualization tools such as Tableau, Power BI, or similar platforms.
  • Excellent problem-solving skills and the ability to analyze and interpret complex data sets.
  • Attention to detail, strong organizational skills, and the ability to work collaboratively in a team environment.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. A Master’s degree is a plus.
  • Prior experience in the insurance industry or knowledge of related data is beneficial.
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