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REMOTE Data Engineer

75% Flex
Full Remote
  • Remote from:United States
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REMOTE Data Engineer

75% Flex
Remote: Full Remote

Offer summary

Qualifications: Bachelor's Degree in Computer Science, Engineering, MIS or related field, Experience with relational SQL databases, Python, PowerBI, and cloud-based data platforms.

Key responsabilities:

  • Collaborate with various teams to develop and implement data solutions impacting underwriting, claims, and operations.
  • Build, automate, and optimize data processes, ETL infrastructure, and analytics tools for actionable insights.
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Insight Global
Human Resources, Staffing & RecruitingLarge

https://www.insightglobal.com

1001 - 5000 Employees

Job description

Logo JobgetherYour missions

JOB DESCRIPTION

Insight Global is seeking a Data Engineer to join our client on their quest to deliver insights and advanced analytic solutions to the E&S Segment. We are seeking a data professional who will be a part of a team that's building data and analytical tools and frameworks to exploit advantages from the latest developments in technology, data engineering, and data science. You'll have the opportunity to engage with partners across functional areas such as underwriting, marketing, claims, technology, actuarial, and operations.

  • Collaborate with and across business and technical teams to design, develop, test, and implement data and analytic solutions that enhance our underwriting, claims, and operational processes through the application of predictive modeling, data engineering and data management
  • Assemble large, complex data sets that meet business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery/dataOps
  • Build the infrastructure required for optimal ETL of data from a wide variety of data sources
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with a team of subject matter experts, data scientists and data analysts to identify ways to transform operational processes, enhance data assets, and manage organizational change as we implement solutions that leverage data and analytics in new ways
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities.
Collaborate with insurance product managers, and deliver robust solutions that help protect millions of businesses and workers through our diverse portfolio of insurance products. Create and maintain optimal data pipeline architecture.

MINIMUM REQUIREMENTS

  • Bachelor's Degree in Computer Science, Engineering, MIS or related field
  • Experience with relational SQL databases
  • Experience with object-oriented/object function scripting languages like Python
  • Experience with PowerBI
  • Strong analytic skills
  • Creative problem solving
  • Ability to learn new skills quickly
  • Knowledge of cloud-based data platforms
  • Preferred: prior experience in the commercial insurance industry

DESIRED SKILLS

  • Prior experience in the commercial insurance industry
  • Experience with developing APIs
  • Experience with Azure
  • Experience with Data Bricks
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Required profile

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Hard Skills
Soft Skills
  • Strong analytic skills and creative problem-solving abilities.
  • Ability to quickly learn new skills and stay updated on technology trends.

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