Northrop Grumman

PrincipalDataAnalyticsEngineer

$98–148k Melbourne, Florida, United States FULL TIME Remote Friendly
The Brief

“Principal Data Analytics Engineer at Northrop Grumman. Skills: Data Pipelines, ETL, Data Analytics, Tableau. Design, develop, and maintain scalable data pipelines. Build and optimize data models”

What You'll Achieve.

drive performance across a broad range of strategic activities; provide the insights needed; change the way we see and use data; ensure reliability of downstream insights

Industry & Context.

Problems you'll solve

problem‑solving skills; complex technical problems

Eligibility Requirements

Active US Government Secret clearance required, ability to obtain Special Access Program (SAP) clearances, TRAVEL: Yes, 10% of the Time, Requires regular onsite presence in Melbourne, FL, Candidates must be within a commutable distance of the Melbourne site.

What They're Looking For.

Must Have

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., proficiency in SQL and Python., proficiency developing and deploying Tableau dashboards and the ability to translate business needs into visual insights., Experience with version control and Agile Software Development, 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.

Nice to Have

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.

What You'll Do.

and maintain scalable data pipelines

Build and optimize data models

Implement robust data quality

Collaborate with data scientists

documented analytics code libraries

Implement practices in version control

Evaluate emerging data technologies

Ensure compliance with data governance

Develop and maintain Tableau dashboards

How You'll Work.

Team & Collaboration

Collaborate with data scientists, product managers, and business stakeholders; work in fast‑paced, cross‑functional teams; convey technical concepts to non‑technical stakeholders

Communication Scope

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

Process & Methodology

Agile Software Development

Free ATS check

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