Sr. Data Engineer in Raleigh, NC at Advance Auto Parts

Date Posted: 12/4/2019

Career Snapshot

  • Employee Type:
  • Location:
    Raleigh, NC
  • Career Type:
  • Experience:
    Not Specified
  • Date Posted:

Career Description

Job Description

This role is responsible for bringing better and faster solutions to customers. Parse, organize and transform complex data and build data products to drive actionable insights and help improve the company. 

Job duties include drive the advancement of Enterprise data infrastructure by designing and implementing the underlying logic and structure for how data is set up, cleansed, and ultimately stored for organizational usage; build robust systems and reusable code modules to solve problems across the team and organization with an eye on the long-term maintenance and support of the application; work with the latest open source tools, libraries, platforms and languages to build data products enabling other analysts to explore and interact with large and complex data sets; partner with Product Owners and cross functional teams in a collaborative and agile environment; design rich data visualizations and interactive tools and solutions to communicate complex ideas to customers and company leaders; collaborate across the enterprise to enable and share best practices and reusable and scalable tools and code for our analyst community; establish forward looking Data and technology objectives and developing the strategies and actions for the team to achieve them; and mentor other engineers and develop technical knowledge and skills to keep the enterprise on the cutting edge of technology.

Minimum Requirements:

The minimum requirements are a Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, Computer Information Systems, Engineering, Communications Technology, or a related field of study plus six (6) years of experience in the position offered or in a related consulting, analyst, or engineer role.  Alternately, will accept a Master’s degree in the fields listed above plus four (4) years of experience in the position offered or in a related consulting, analyst, or engineer role. Foreign degree equivalent accepted.

The experience must include at least six (6) years of experience working with relational databases and data mining, four (4) years of experience with data engineering programming language (e.g. Python, R, Scala, SQL and/or SAS), four (4) years of experience using data visualization tools (e.g. Tableau, d3.js or similar tools), two (2) years of experience with big data, and two (2) years of experience with Cloud computing and/or DevOps. Experience may be gained concurrently.