Starboard Navigator

Data Engineer

A Data Engineer is responsible for contributing to data-driven analysis and development of intelligent systems. This role involves working across key areas such as Data Science & Artificial Intelligence Systems Engineering, Technical Problem Solving, while applying technical knowledge in machine learning, big data (spark/hadoop), statistical modeling, deep learning, data mining.

Data Engineer

What they do

As a key professional in the Data Science & Artificial Intelligence industry, the Data Engineer plays a vital part in the sector's mission: data-driven analysis and development of intelligent systems. Specifically, they focus on overseeing or executing specialized tasks that ensure efficient operations, high-quality outcomes, and adherence to industry standards. Their work directly supports the organization's goals and implementation of best practices.

Specialties

Data Science & Artificial Intelligence Systems Engineering

Technical Problem Solving

Design Optimization

Cost-Benefit Analysis

Safety & Reliability Engineering

Data Engineer specialties

Pathways
(education / training)

Bachelor's Degree In Engineering Or A Related Technical Field. Professional Licensure (e.g., PE) May Be Required Or Beneficial. Experience With CAD Software And Simulation Tools Is Often Essential.

Connection to the SDGs

Industry, Innovation and Infrastructure

Skills