Senior Data Engineer

Rosemont, Illinois

Open to Remote

Full Time

$135k - $160k

Job Description In this Senior Data Engineer role, you will utilize SQL Server, Azure, and ETL/ELT pipelines to manage and optimize data systems, ensuring data accuracy, integrating data from various sources, and protect data within an ever-evolving technological environment.

Enjoy a remote schedule or get moving with a hybrid environment in offices across the United States! In this role, your expertise will not only be instrumental in supporting new business relationships and consumer products but shaping the data landscape in triggering sustainable growth at leading insurance companies by collaborating with other teams and across offices to recommend new tools and techniques to the organization. Required Skills & Experience
  • Bachelor’s degree in computer science, information systems, computer engineering or related field; or an equivalent combination of education and experience.
  • Extensive experience with Microsoft SQL Server 201x, Azure SQL DB, Azure Managed Instance, and general Azure environment management.
  • Expertise in relational and dimensional database modeling, data development, and administration
  • Extensive experience with ETL/ELT pipelines including any combination of modern tools such as SSIS, Azure Data Factory, Function Apps, Logic Apps, etc
  • Analytical and problem-solving skills/experience
  • Excellent written and oral communication skills.
Desired Skills & Experience
  • Exposure/experience with data mesh and event streaming
  • Practical experience with structured, semi-structured, and unstructured data.
  • Practical experience with the Azure data development stack.
  • Practical experience with Visual Studio, Azure DevOps, Git
  • Practical experience with data privacy practices and regulations, especially in a highly regulated industry, is a plus.
What You Will Be Doing Tech Breakdown
  • 55% Microsoft SQL Server
  • 35% Azure environment management
  • 10% ETL/ELT pipelining
Daily Responsibilities
  • 60% Hands-On
  • 35% Collaboration
  • 15% Analysis
#LI-CA1
Job Description In this Senior Data Engineer role, you will utilize SQL Server, Azure, and ETL/ELT pipelines to manage and optimize data systems, ensuring data accuracy, integrating data from various sources, and protect data within an ever-evolving technological environment.

Enjoy a remote schedule or get moving with a hybrid environment in offices across the United States! In this role, your expertise will not only be instrumental in supporting new business relationships and consumer products but shaping the data landscape in triggering sustainable growth at leading insurance companies by collaborating with other teams and across offices to recommend new tools and techniques to the organization. Required Skills & Experience
  • Bachelor’s degree in computer science, information systems, computer engineering or related field; or an equivalent combination of education and experience.
  • Extensive experience with Microsoft SQL Server 201x, Azure SQL DB, Azure Managed Instance, and general Azure environment management.
  • Expertise in relational and dimensional database modeling, data development, and administration
  • Extensive experience with ETL/ELT pipelines including any combination of modern tools such as SSIS, Azure Data Factory, Function Apps, Logic Apps, etc
  • Analytical and problem-solving skills/experience
  • Excellent written and oral communication skills.
Desired Skills & Experience
  • Exposure/experience with data mesh and event streaming
  • Practical experience with structured, semi-structured, and unstructured data.
  • Practical experience with the Azure data development stack.
  • Practical experience with Visual Studio, Azure DevOps, Git
  • Practical experience with data privacy practices and regulations, especially in a highly regulated industry, is a plus.
What You Will Be Doing Tech Breakdown
  • 55% Microsoft SQL Server
  • 35% Azure environment management
  • 10% ETL/ELT pipelining
Daily Responsibilities
  • 60% Hands-On
  • 35% Collaboration
  • 15% Analysis
#LI-CA1

Posted by: CJ Avino


Specialization: Data Engineering