Senior Data Engineer

Hartford, Connecticut
US$130000 - US$160000 per annum + Additional Benefits

Senior Data Engineer

Hartford, CT (or remote)

$130,000-$160,000 base salary

THE COMPANY

This global insurance conglomerate business is looking to bring on a motivated self-starter who is a subject matter expert in all things data engineering and back-end to join their CT headquarters or work remotely on their Analytics team!

If you are someone who enjoys thinking critically about data optimization and usage and coming up with creative solutions for complex business data challenges, this could be the role for you! Read additional details below to see if you would be a fit!

THE ROLE

As the Senior Data Engineer, you will be playing a key role in bridging the gap between data and the business while putting your hands-on code to the test. Specifically, your key duties will resemble the following:

  • Collaborating closely and regularly with Data Scientists/Actuaries to understand key business requirements
  • Building data pipelines in a centralized Azure data lake environment using Python, Databrick, and SQL
  • Advising stakeholders and professionals on best practices for data analysis
  • Coming up with out of the box recommendations on future projects and technical implementation

YOUR SKILLS AND EXPERIENCE

In order to be considered for the Senior Data Engineer role, you are someone with the following prerequisites:

  • Seasoned commercial experience in data engineering
  • Have professional career experience using the following technologies: Python, SQL, Azure, Databricks
  • Are an innovative thought leader
  • Preferably have a BS degree in Computer Science or related field
  • Preferably have experience with R Shiny or Tableau
  • Preferably come from an insurance or financial services background
  • Are self-motivated

THE BENEFITS

  • $130,000-$160,000 base annual salary depending on experience level
  • Annual performance-based bonus
  • Flex working hours
  • Medical, dental, vision insurance
  • 401 K
  • Paid sick days/vacation days

***This client will be able to consider candidates already in the US who require sponsorship or transfer of sponsorship***

HOW TO APPLY

Please register your interest by sending your résumé to Kavya Kannan via the Apply link on this page.

KEYWORDS

Data, data analytics, data engineer, data engineering, data science, data pipelines, data lake, engineering best practices, cloud, Microsoft Azure, Databricks, Python, R Shiny, SQL

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96800/KK2
Hartford, Connecticut
US$130000 - US$160000 per annum + Additional Benefits
  1. Permanent
  2. Big Data

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