A Place for Mom

Sr. Big Data Engineer

Job Location(s) US-KS-Overland Park
Job ID
2020-4406
# of Openings
1
Category
Information Technology

Overview

Join our growing team!

A Place for Mom is a mission driven transformational company, helping families with Senior Living options. We are looking for talented individuals who want to quickly have an impact on our business  Come join our growing team!

 

A Place for Mom is an online platform connecting families searching for senior care services with a team of experienced advisors providing insight-driven and personalized solutions.  Our mission, as the leader in senior care advisory, is to be a trusted destination for families and our community customers. We are a quickly growing organization with over 500 advisors connecting more than 300K families every year to one of our community customers.

 

Living by our values and working to achieve excellence on behalf of our customers is integral to success at A Place for Mom.  Employees who thrive at A Place for Mom live our values every day and are an important part of our hiring practices:

  • Focus on Excellence
  • Act with Integrity & Assume Positive Intent
  • Drive Outcomes Every Day with Passion and A Sense of Mission
  • Make the Lives of our Families and Customers Better, Easier and More Successful
  • Realize the Full Potential in Each Team Member.  Work as a Single Supportive Team

A Place for Mom employees over 850 people nationwide with plans to continue to expand into the future. We currently have offices located in Seattle, New York, and Naples and will soon be opening our office in Kansas City. We offer competitive compensation and benefit packages along with Paid time off, paid holidays and 401K with a match. We are committed to our employees career development growth and promotion within the organization.

 

If you are a results oriented, passionate and collaborative team player looking for a company with a bright future we would love to talk to you.

 

COMPANY LEADER

Larry Kutscher - Chief Executive Officer

 

Larry Kutscher is Chief Executive Officer of A Place for Mom. Larry is a veteran CEO with over 30 years of experience leading digital, technology and service businesses through significant periods of growth and value creation. Prior to this role, he served as Chief Executive Officer of TravelClick, where he drove the company’s overall strategic vision and helped increased the company’s value from approximately $300 million to more than $1.5 billion over eight years.

 

THE POSITION

The APFM technology team is looking for a Sr. Big Data Engineer who will focus on building out a data lake using AWS Databricks platform. In this role you will work with a team of developers, scrum masters, and business analysts in an Agile environment to make the data on the Big Data Platform accessible for the needs of the organization through Atomic Models and Analytical Data Stores. You will coordinate with a variety of departments to translate high level business requirements into detailed system requirements. You will participate in the entire software development lifecycle by analyzing raw data, writing ETL pipelines in python, and solving data quality issues as they arise during development and after deployment.

 

Who you are:

  • 5+ Years of Python Development in Apache Spark
  • You have a strong passion for new technologies and driving innovation.
  • Delivery of high quality & production ready code is high priority for you.
  • Learning technologies and expanding your skillset is always on your mind.

Responsibilities

What you will do:

  • Hands-on software developer with deep technical expertise in Python and Apache Spark
  • Partner with your peers in Product, Design, Scrum Masters and technology to develop our next gen data infrastructure.
  • Create and maintain technical documentation.
  • Participating in meaningful and thorough code reviews.
  • Ensure performance, quality and accuracy of our data.

Qualifications

Required Skills and Competencies: 

  • Strong hands on experience in Python and Spark
  • Experience in Databricks, Delta Lake, Parquet, Hive, and Spark SQL
  • Proficient in a Linux environment
  • Experience in AWS: S3 / EMR / Lambda

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