Sr. Principal Tableau Data Engineer (PR953)

$139,700 - $209,500/Yr

Northrop Grumman - Linthicum Heights, MD

Full-time - Senior

Linthicum Heights, MD

Computer and Electronic Product Manufacturing

About the position

The Senior Principal Tableau Data Engineer will lead the development of innovative data visualization solutions to support the Microelectronics Design and Applications (MDA) team at Northrop Grumman. This role focuses on utilizing Tableau to enhance data analysis capabilities for a superconducting electronics wafer fabrication line, collaborating with engineering teams, and ensuring data fidelity in a fast-paced research and development 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.
• Work under minimal direction to proactively develop data visualization solutions for 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 8+ years of relevant experience; or a STEM Master's Degree with a minimum of 6 years experience; or a STEM PhD with a minimum of 3 years experience.
• 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