Principal Tableau Data Engineer

$112,600 - $169,000/Yr

Northrop Grumman - Linthicum Heights, MD

Full-time - Principal

Linthicum Heights, MD

Computer and Electronic Product Manufacturing

About the position

The Principal Tableau Data Engineer at Northrop Grumman will lead the development of data visualization technologies to support the Microelectronics Design and Applications (MDA) team. This role focuses on utilizing Tableau to enhance data analysis and visualization for a superconducting electronics wafer fabrication line, ensuring effective communication and collaboration with engineering teams in a fast-paced R&D environment.

Responsibilities

• Utilize Tableau to build core capabilities for data visualization supporting a superconducting electronics wafer fabrication line.
• Collaborate with engineering teams to understand data analysis needs and build custom solutions in Tableau.
• Diagnose and troubleshoot issues related to data fidelity, dashboards, or reports.
• Proactively determine and develop data visualization solutions to meet the changing needs of a fast-paced R&D environment.
• Communicate effectively at all levels of the organization, with internal and external customers, in written and verbal format.

Requirements

• Bachelor's degree or higher in a STEM discipline with 5+ years of relevant experience; or a STEM Master's Degree with a minimum of 3 years experience; or a STEM PhD with no experience required.
• Proficient in Tableau dashboard creation.
• Experience in modern programming languages (Python, SQL, etc.).
• Knowledge of database concepts and data structure.
• Experienced in data visualization best practices.
• Understanding of calculated fields, parameters, level of detail calculations, and hierarchies.
• Strong organizational and project management skills, able to execute independently and with a small team.
• Must be willing to work on-site 100% of the time.

Nice-to-haves

• A bachelor's or master's degree or higher in data science, computer science, software engineering, or a related major.
• Highly skilled in modern programming languages (Python, SQL, etc.).
• Skilled in statistical data analysis and modeling.
• Experience in high volume automated manufacturing microelectronics or semiconductor fabs.
• Experience with manufacturing datasets and data structures specifically for semiconductor or microelectronics engineering.
• Understanding of data representation differences between products, plans, recipes, and varying levels of manufacturing containers.

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company paid holidays
• Paid time off (PTO) for vacation and/or personal business