Data Engineer III

BLUE ORIGIN

. Design, build, and maintain core supply chain data models in Databricks .

Posted 10/12/2026full-timeUnited StatesMid-LevelSenior💰 $141,162 - $197,627 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python and SQL for building and maintaining core supply chain data models in Databricks, while ensuring data quality and governance. Experienced in AWS cloud services and Git-based version control, with a strong understanding of data warehousing concepts and supply chain data domains.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyDatabricks Data ModelingAWS Cloud ServicesData Warehousing Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingDimensional ModelingMedallion ArchitectureData Quality RulesData TransformationsSchema ManagementData Contract DefinitionAI-Assisted Coding ToolsInternal Web Application Development

Tools & Technologies

DatabricksAWS S3AWS LambdaAWS GlueAWS RDSAWS ECSGitLabVS CodeCI/CD PipelinesData Cataloging Tools

Industry Keywords

Supply ChainProcurementManufacturing DataData GovernanceData Lineage Tracking

Tech Stack

Tools & technologies

AWSCloudERPPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain core supply chain data models in Databricks
Apply supply chain business logic, transformations, and data quality rules
Produce accurate, trusted, reusable data models for downstream consumption
Build and maintain data products and semantic layers for self-serve metrics and insights
Contribute to AWS-hosted internal web applications, dashboards, KPIs, and operational tools
Partner with ET data platform teams and supply chain stakeholders
Define data contracts and onboard new data needs
Participate in code reviews and establish data modeling standards
Use GitLab for version control and CI/CD, VS Code, and AI-assisted tooling
Monitor pipeline and model health to ensure availability, performance, and discoverability

Requirements

What you’ll need

3+ years of experience building and operating production data pipelines and data models
Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
Advanced proficiency in Python and SQL
Experience with Databricks or similar lakehouse platforms for dimensional/data modeling and transformation
Experience integrating with upstream source systems such as ERP and transactional databases, and managing schema/data contract changes
Experience with AWS cloud services, including S3, Lambda, Glue, RDS, and ECS
Familiarity with Git-based version control and CI/CD pipelines; GitLab preferred
Strong understanding of data warehousing and modeling concepts, including dimensional modeling, medallion architecture, and slowly changing dimensions
Must be a U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3)
Experience modeling ERP or enterprise transactional source-system data preferred
Experience with AI-assisted coding tools preferred
Exposure to supply chain, procurement, or manufacturing data domains preferred
Experience building internal web applications or APIs on governed data models preferred
Familiarity with data cataloging, lineage tracking, and governance tooling preferred

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, subject to discretion and not guaranteed