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# Data Engineer

- **Company:** Macpower Digital Assets Edge LLC
- **Location:** Beaverton, OR, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Elastic Compute Cloud, Data Analysis, Business Software, Databases, Continuous Delivery, Information Engineering, Data Governance, Extract Transform Load (ETL), DevOps, Human-Computer Interaction, Python (Programming Language), Logical Databases, SQL Databases, Data Server Interface, Api Gateway, Data Pipelines, Databricks
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/8a0d0f63-b606-48da-a383-66870947b6f0/data-engineer

## About the Role

* Minimum 8 years of data engineering experience.
 * Bachelor's degree preferred.
 * Alternatives may be accepted as follows.
 + PhD or Law plus 6 years of experience.
 + Master's degree plus 7 years of experience.
 + Associate degree plus 9 years of experience.
 + High school diploma plus 10 years of experience.

Technical Skills:

 * Strong proficiency in Python and SQL.
 * Hands-on experience with Databricks.
 * Experience with Apache Airflow for orchestration.
 * Strong knowledge of AWS services including EMR and SQL-based tooling.
 * Experience building production systems using AWS EC2, ECS, API Gateway, and Lambda.
 * Experience implementing CI/CD and DevOps for deployment and production support.

Soft Skills:

 * Strong documentation and communication skills.
 * Ability to work in a collaborative team environment.
 * Strong attention to detail and quality.
 * Ability to manage priorities and deliver on deadlines.

## Description

* Establish database management systems, standards, and guidelines.
 * Define and document conceptual and logical database designs.
 * Plan capacity, external data interfaces, data loading, maintenance, and security.
 * Evaluate and install database management systems.
 * Code complex programs and design logical processes on target platforms.
 * Build windows, screens, and reports for business applications.
 * Assist with user interface and application prototypes.
 * Participate in quality assurance and develop test application code.
 * Define and defend database tables, fields, and data standards.
 * Translate business requirements into data models and specifications.
 * Define table relationships and field interactions for relational models.
 * Determine data suitability and optimal storage organization.
 * Work closely with a team of approximately 15 engineers.

Core Focus Areas:

 * Build reliable, scalable data pipelines.
 * Design and optimize data models.
 * Perform data analysis to support business needs.