Principal Data Analytics Engineer

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE REQUIRED FOR START: Yes

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the TimeDescription

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Are you motivated to work in an environment that will challenge you, force you to continuously innovate, and work on solutions that make a difference for your customers? Northrop Grumman Aerospace Systems relies on our team to provide the insights needed to drive performance across a broad range of strategic activities. We are looking for a passionate Data Analytics Engineer to design and develop automated, end-to-end, Extract, Transform, and Load (ETL) pipelines and Data Analytics/Visualization solutions from disparate data sources.

You will share in the ownership of the technical vision and direction for advanced analytics systems that change the way we see and use data. We are looking for people who are self-motivated, hardworking, and have demonstrated the ability to find innovative solutions to complex technical problems.

This role is hybrid and requires regular onsite presence in Melbourne, FL. Candidates must be within a commutable distance of the Melbourne site.

Job Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes across multiple data sources. 

• Build and optimize data models (star, snowflake, data vault) for analytics and reporting

• Implement robust data quality, validation, and monitoring frameworks to ensure reliability of downstream insights. 

• Collaborate with data scientists, product managers, and business stakeholders to translate analytical requirements into technical specifications. 

• Create reusable, documented analytics code libraries and SDKs to accelerate self‑service analytics. 

• Implement practices in version control, testing, and CI/CD for data workflows. 

• Evaluate emerging data technologies and recommend improvements to the analytics stack. 

• Ensure compliance with data governance, security, and privacy policies (e.g., GDPR, CCPA). 

• Develop and maintain Tableau dashboards, KPI scorecards, and ad‑hoc querying tools for executive and operational audiences. 

Basic Qualifications:

• Bachelor’s degree in a STEM related discipline with 5+ years of experience in data engineering, analytics engineering, or a related field OR Master's degree with 3+ years of data engineering, analytics engineering, or a related field.

• Strong proficiency in SQL and Python. 

• Strong proficiency developing and deploying Tableau dashboards and the ability to translate business needs into visual insights. 

• Experience with version control and Agile Software Development

• Strong problem‑solving skills, attention to detail, and ability to work in fast‑paced, cross‑functional teams. 

• Excellent communication skills, both written and verbal, to convey technical concepts to non‑technical stakeholders.

• Active US Government Secret clearance required to apply with ability to obtain Special Access Program (SAP) clearances.

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, Statistics, or a quantitative discipline with TBD years of experience in data engineering, analytics engineering, or a related field.

• Hands‑on experience with modern orchestration tools (e.g., Airflow, dbt, Dagster, Prefect, etc.) and data ecosystem platforms (e.g., Databricks, Denodo, Snowflake, etc.). 

• Deep understanding of data modeling concepts, dimensional modeling, and data warehousing methodologies. 

• Proven track record of building and maintaining production‑grade data pipelines

• Current Special Access Program (SAP) clearances.

Primary Level Salary Range: $98,400.00 - $147,600.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity 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 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.