Data Engineer-Mid (Night Shift)

Data Engineer-Mid (Night Shift)

Have you ever wondered how insurance companies calculate the price of insurance policies?

The Corporate Actuarial Data & Technology Team is a dynamic, growing team at Arch. This team implements innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products.

The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources. As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.

Responsibilities:

  • Work with strategic partners to solve business problems by developing best-in-class data solutions
  • Perform data manipulation using SQL and Python to develop data assets
  • Leverage technology to automate data ingestion, transformation and integration
  • Provide the appropriate level of documentation of sources and technical solutions
  • Evaluate data quality and completeness
  • Build strong partnerships with peers across the organization to support data-related goals
  • Explore new technologies and data sources with curiosity and creativity
  • Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
  • Create and maintain optimal data pipeline architecture

Qualifications:

  • The ideal candidate has 1-2+ years of experience to 3-4+ years of experience of data/software engineering experience working with SQL, Python, and relational databases.
  • Understanding and experience with dimensional data modeling (star schema)
  • Familiarity with the MLOps framework
  • Strong data manipulation skills for analytics
  • Excellent critical thinking skills to tackle complex data challenges
  • Strong organizational skills and very detail oriented
  • Exceptional collaboration and relationship building skills
  • Comfortable working in a fast paced, highly collaborative environment
  • Ability to effectively communicate to different target audiences
  • Resilient problem solving and critical thinking skills
  • Flexibility - able to meet changing requirements and priorities

Additional Information:

  • BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent
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