Camping World

Data Engineer

Lincolnshire, IL US
USD 89k - 134k
Kubernetes SQL VBA Machine Learning Python Docker
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Description

In this role, you will maintain our data warehouse, develop ETL processes, create production-ready software from prototypes, and other technical tasks. This is an opportunity to use a variety of technical skills and create new infrastructure, systems and software. From day one, you will be working with 10s of millions of rows of data which we expect to grow very quickly.

You will report to the Director of RV Pricing Strategy as part of a team of analysts and data scientists.

Responsibilities:

  • Processing data from outside our organization and from third party data providers, making it readily accessible to the team.
  • Creating data warehouse infrastructure and implementing ETL processes to gather data from other enterprise systems and external sources.
  • Evaluating technical needs of the pricing team and designing and implementing infrastructure and technology to support their work.
  • Identifying, designing and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Implementing best practice data management, version control and other best practices within the team.
  • Working closely with the pricing team to support their current technical needs and identify new technologies which will be valuable for the team and its mission.
  • Perform daily tasks to monitor technical infrastructure and processes and take corrective action as necessary.
  • Take on special projects as needed including data science tasks such as creating analytics and even machine learning projects.

Technologies We Currently Use:

  • Python and related software such as Jupyter, Anaconda, and VS Code
  • Docker
  • Kubernetes
  • Microsoft SQL Server
  • Snowflake
  • Microsoft Power BI
  • Microsoft Excel including Power Query and VBA

Must Have Qualifications:

  • Bachelor's degree in computer science, software development, data engineering, or closely related field.
  • 1 – 3 years’ experience including…
    • Implementing data solutions including designing new databases and implementing data pipelines.
    • Database technology experience including writing SQL queries and CRUD routines.
    • Software development experience including creating software for non-technical end-users.
  • Proficiency with Microsoft Office tools (Word, Excel, PowerPoint, Outlook).
  • Ability to maintain professional demeanor and strict confidentiality.
  • Ability to work independently to complete assigned tasks.
  • Must be diligent, organized, and extremely detail-oriented
  • Strong analytical and problem-solving skills

Preferred Qualifications:

  • Experience developing ETL pipelines and machine learning pipelines using Python.
  • Experience creating front-ends for SQL Server and Snowflake based data.
  • Experience with Microsoft analytical tools, including Power BI, Excel, VBA, and Power Query.

**This position is hybrid out of our Lincolnshire, IL offices.**

Pay Range:

$89,565.00-$134,295.00 Annual

In addition to competitive pay, we offer Paid Time Off, 401(k), an Employee Assistance Program, Good Sam Roadside Assistance, discounts, paid parental leave (if eligibility is met), Tuition Reimbursement (if eligibility is met), and on the job training opportunities. Full-time associates are offered a comprehensive benefit package including medical, dental, vision and more! Part-time associates are offered access to dental & vision coverage! For more information please visit: www.mycampingworldbenefits.com

We are an equal employment opportunity employer. The Company's policy is not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, veteran or uniformed service-member status, genetic information, or any other basis protected by applicable federal, state, or local laws.

Camping World
Camping World

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