Data Engineer - Early Career

Lockheed Martin•Fort Worth, TX

1d•$62,700 - $110,630•Hybrid

About The Position

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours. Lockheed Martin Aeronautics is seeking an Early Career Data Engineer. In this role, you will perform analysis and data trending for aircraft systems. Create algorithms to find patterns in historical part removals and project impending part failures. Conduct root cause investigations and support corrective action planning to enhance system reliability. Evaluate conceptual and advanced designs for reliability performance and recommend improvements to optimize design efficiency. Analyze supplier repair data and aircraft field data to calculate, track, and present aircraft performance metrics. Create clear, compelling data visualizations to communicate trends and support engineering decisions. Identify and recommend process improvements that increase team effectiveness and streamline analysis workflows. Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access.

Requirements

Bachelor's degree in computer engineering or aeronautical engineering.
Coursework in Python, Time Series Data, Machine Learning, Deep Learning, Data Correlation and Verification, and Interpretable Artificial Intelligence.
Experience in manipulation/analysis of data in spreadsheets (MS Excel Formulas, Pivot Tables, and/or VBA).
Experience in formal presentation development, PowerPoint construct and delivery, and working in a team environment.
Must be a US Citizen; this position will require a government security clearance.
This position is located at a facility that requires special access.

Nice To Haves

Strong math background, with emphasis on statistical data analysis.
Ability to perform detail-oriented work with a high degree of accuracy and quick delivery.
Ability to apply statistical methods to analyze time series data including design of experiments, regression analysis, and hypothesis testing.
Ability to develop and implement statistical models to predict outcomes of time series data.
Experience using Python.
Experience with Artificial Intelligence/Machine Learning (AI/ML).
Bachelor’s degree in Industrial Engineering or Electrical Engineering or a STEM discipline.
Experience in using databases and/or visualizations (MS Access, HANA, Tableau, or SQL/Oracle).

Responsibilities

Perform analysis and data trending for aircraft systems.
Create algorithms to find patterns in historical part removals and project impending part failures.
Conduct root cause investigations and support corrective action planning to enhance system reliability.
Evaluate conceptual and advanced designs for reliability performance and recommend improvements to optimize design efficiency.
Analyze supplier repair data and aircraft field data to calculate, track, and present aircraft performance metrics.
Create clear, compelling data visualizations to communicate trends and support engineering decisions.
Identify and recommend process improvements that increase team effectiveness and streamline analysis workflows.