Spring Venture Group

Data Engineer III

Req No
2020-1844
Category
Information Technology
Type
Regular Full-Time
Location
US-MO-Kansas City

Company Overview

With the continued impact of COVID-19 and social distancing measures, Spring Venture Group fully supports remote interviewing and onboarding procedures. This is a permanently remote opportunity.

 

Who We Are:

 

Spring Venture Group is a leading digital direct-to-consumer sales and marketing company with product offerings focused on the senior market. We specialize in distributing Medicare Supplement, Medicare Advantage, and related products via our family of brands and dedicated team of licensed insurance agents. Powered by our unique technologies that combine sophisticated marketing, comparison shopping, sales execution, and customer engagement – we help thousands of seniors across the country navigate the complex world of Medicare every day.

Job Specific

What We Want:

 

Spring Venture Group is hiring for a new senior-level Data Engineer. We are looking for someone who can come in with momentum and intention, a self-motivated Engineer whose passion is analyzing and implementing new technologies.  Our data engineering team is responsible for data integrity and availability for crucial systems at Spring Venture Group, and serves as a primary resource for data expertise. Our Data Engineer is a hybrid of DevOps engineering, Software engineering, and Database engineering, focused on building advanced data warehousing and transformation systems.

 

What You’ll Do:

 

Part of your responsibilities as a Data Engineer will be provisioning advanced data transformations through batch and streaming ETL systems.  You will build and scale data warehouse systems while maintaining security standards and you will analyze and develop data architecture requirements, determine the feasibility of designs, and implement software solutions best suited for SVG’s processes.You will also support processes to allow automated deployment of schema changes in conjunction with DevOps deployment model.

 

As a senior-level Data Engineer, you will develop a mastery of the SVG business model and perform data integrity analysis to answer specific business questions.  You will also be responsible for authoring high-performance ETL software and providing mentorship & development to other team members. 

 

What You’ll Bring to the Role:

 

  • Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
  • 6+ years of Data Engineering experience
  • Strong knowledge of the Python language; it’s design, base libraries, built-in features, and how it compares to other languages
  • Skilled with popular Python data engineering libraries, including pandas and pyspark
  • Experience with SQL and data warehouse tools such as AWS Athena
  • Experience with batch processing tools such as AWS Batch or AWS Glue, or other DAG systems
  • Real-time processing tools such as AWS Kinesis and AWS Firehose

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