Principal Data Engineer

The Mission Systems (MS) Sector Analytics and Insight organization is seeking a Principal Data Engineer located in Baltimore, MD to lead the implementation of strategic operations and program execution initiatives. In support of MS multiple divisions, the individual will be responsible for designing, developing, and maintaining data infrastructure, leading data engineering efforts, and ensuring the scalability, reliability, and quality of data pipelines while collaborating closely with stakeholders to translate business needs into technical solutions, often including data governance and best practices across the MS Sector. This individual will be responsible for developing data engineering and architecture solutions that enable new business insight. They will be responsible for implementing data validation and cleansing processes to maintain data quality. .The individual will interact and consult regularly with MS Executive Leadership Team (ELT), Program Leadership, and supporting Functional Leadership. 

"This position may be filled as a hybrid role at the Baltimore, MD location and candidates are required to be local to the site. Selection will be based on the most qualified candidate."

Key Responsibilities

• Participate in the planning, design, development and implementation of solutions to address ongoing business performance opportunities and performance improvement.

• Work in a fast-paced, Agile/Scrum based environment. 

• Implement process changes to improve business outcomes. 

• Develop impactful predictive modelling, Monte Carlo simulations and advanced analytics

• Support cross-team development efforts for multiple projects, including data cleanup, ingestion, and linkage with other data sets.

• Develop and support data architectures, data pipelines and data management solutions.

• Document design, deployment and operating procedures for each work product.

• Present data in a meaningful way (insights, visualizations) to executive management. 

• Other duties as assigned.

Basic Qualifications

• Bachelor’s degree in engineering, data engineering, data analytics, business analytics, or related field and 5 years of experience; OR a Master's degree and 3 years of related experience.

• Experience using SQL programming and database management skills to architect, optimize and maintain SQL code for databases, tables, views, stored procedures and functions in MS SQL Server

• Experience with one or more of these database systems: Oracle, MySQL, PostgreSQL, SQLite

• Experience developing ETL and ELT workflows using a variety of older and newer  ETL tools for moving data among networks, such as: Microsoft Access, SSIS, Windows Task Scheduler, batch scripts, Windows PowerShell, Python scripting, Scala, Spark, Alteryx

• Experience and demonstrated proficiency with Python or R

Preferred Qualifications

• Master’s degree in information technology, data science, industrial engineering, or related field

• Experience and demonstrated knowledge and application of: Lean, Six Sigma, ToC, and Scaled Agile

• Experience and understanding of advanced descriptive, diagnostic, predictive, and prescriptive analysis techniques and methodology

• Experience and familiarity with SAP

• Experience and/or training with cloud database tools, especially those in AWS and Azure

• Experience and familiarity with an Oracle based data warehouse

• Experience with analysis and visualization of data: Tableau, Power BI

Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.