Data Engineer IV

BLUE ORIGIN

. Architect and own primary supply chain data models in Databricks .

Posted 10/12/2026full-timeUnited StatesMid-LevelSenior💰 $169,347 - $237,086 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and managing supply chain data models using Databricks and AWS, with a strong focus on data quality, modeling standards, and mentoring engineering teams. Proficient in Python and SQL, with a solid understanding of modern software engineering practices and CI/CD workflows.

Highest-signal resume keywords

Databricks Data ModelingAWS ArchitecturePython ProficiencySQL ProficiencyCI/CD Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Modeling ArchitectureData Quality FrameworksAI-Assisted DevelopmentBusiness Logic Ownership

Soft Skills

MentoringCross-Functional Leadership

Tools & Technologies

GitLabVS CodeAWS S3AWS LambdaAWS Glue

Industry Keywords

Supply Chain DataData ContractsSelf-Serve AnalyticsData MartsExport-Controlled Data

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Architect and own primary supply chain data models in Databricks
Own strategy and architecture for supply chain self-serve data, including semantic layers, curated data marts, access patterns, and documentation
Partner with the Enterprise Technology data platform team to define data contracts and address supply chain data needs
Define and enforce data modeling standards, business logic ownership, and data quality frameworks
Guide architecture of AWS-hosted internal web applications and self-serve analytics tools
Set engineering standards for GitLab CI/CD, VS Code development, testing, and deployment
Mentor Data Engineer I–III team members
Evaluate and integrate AI-assisted development, data modeling, and analytics tools
Serve as the primary technical contact between supply chain leadership and the engineering team
Ensure reliable model and self-serve metric coverage across procurement, inventory, logistics, supplier performance, and manufacturing supply
Resolve data model and metric gaps and inconsistencies as the business scales

Requirements

What you’ll need

6+ years of experience building and operating production data pipelines and data models, including leading data modeling architecture decisions
Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
Expert-level proficiency in Python and SQL
Deep experience with Databricks or a comparable lakehouse platform, architecting large-scale, business-facing data models
Experience partnering with or consuming data from a centralized enterprise data platform team, including managing data contracts and adapting to upstream changes
Strong experience architecting solutions on AWS, including S3, Lambda, Glue, ECS/EKS, RDS, and API Gateway
Experience with Git-based CI/CD workflows; GitLab preferred
Modern software engineering practices
Ability to mentor engineers and lead cross-functional technical initiatives
Must be a U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3), due to access to export-controlled data
Required Blue's Standard Background Check

Benefits

Comp & perks

Medical, dental, and vision insurance
Basic and supplemental life insurance
Paid parental leave
Short- and long-term disability
401(k) with company match of up to 5%
Education Support Program
Stock Options for all regular employees working at least 20 hours/week
Up to four weeks of paid time off per year based on weekly scheduled hours
Up to 14 company-paid holidays
Potential benefits and bonuses based on role type, job level, individual contributions, company results, or other factors at the company's sole discretion