Data Engineer II
Customer Growth Marketing
Posted on 11/6/2023
INACTIVE
Dell Technologies

10,001+ employees

Provides digital infrastructure for organizational transformation
Company Overview
Dell Technologies fosters a culture that values its customers and team members, recognizing their importance in driving the company's success in providing essential digital infrastructure. The company's competitive advantage lies in its end-to-end solutions, which not only offer innovative products but also contribute to a more sustainable future. With initiatives like Dell Rewards, the company demonstrates industry leadership by providing tangible benefits to its customers, such as expedited delivery, rewards on purchases, and credit opportunities for device upgrades.
Industrial & Manufacturing
Hardware
Venture Capital

Company Stage

N/A

Total Funding

$35M

Founded

1984

Headquarters

Round Rock, Texas

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

3%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Marketing
SQL
Python
NoSQL
CategoriesNew
Data & Analytics
Growth & Marketing
Requirements
  • Solid SQL Knowledge
  • Education (Bachelor’s degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experience
  • Attention to detail
  • Critical thinking and open to learn
  • Willing to mentor junior team members
  • Professional experience: 5+ years of experience in Data or BI engineering dealing with large complex data scenarios
Responsibilities
  • Work with other engineers and data scientists to solve some of the hardest business problems
  • Learn what it takes to build, deploy & scale ML/AI models in real-world
  • Build analytical data sets on which models will be built
  • Feature engineering: Stitching together and aggregation of multiple large data sets working with the data scientist to a desired format
  • Optimize both queries and architecture to support big data sets
  • Data pipelining: Create features that make ML/AI algorithms work
  • Solid SQL Knowledge
  • Education (Bachelor’s degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experience
  • Attention to detail
  • Critical thinking and open to learn
  • Willing to mentor junior team members
  • Professional experience: 5+ years of experience in Data or BI engineering dealing with large complex data scenarios
Desired Qualifications
  • Skills in Python or other programming skills
  • Proven ability to work with varied data infrastructures – including relational databases, Data Warehouses, column stores, NoSQL databases, and file-based storage solutions
  • Exposure to Software engineering and machine learning or machine learning pipelines is a plus