Tableau Data Engineer

$91,600 - $137,400/Yr

Northrop Grumman - Linthicum Heights, MD

Full-time - Entry Level

Linthicum Heights, MD

Computer and Electronic Product Manufacturing

About the position

The Tableau Data Engineer at Northrop Grumman will play a crucial role in developing data visualization solutions to support a new superconducting electronics wafer fabrication line. This position involves collaborating with engineering teams to understand their data analysis needs and creating custom Tableau solutions. The ideal candidate will have a strong analytical background, be proficient in data visualization, and possess the ability to communicate insights effectively across various levels of the organization.

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 in a fast-paced R&D environment with minimal direction.
• Communicate effectively at all levels of the organization, with internal and external customers, in both written and verbal formats.

Requirements

• Bachelor's degree or higher in a STEM discipline with 2+ years of relevant experience, or a STEM Master's with 0 years of 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.
• Ability to obtain and maintain a TS/SCI with poly clearance.

Nice-to-haves

• A bachelor's or master's degree in data science, computer science, or software engineering.
• 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

• Relocation assistance may be available.
• Competitive pay and comprehensive benefits.