- Architect, implement, and manage scalable and reliable data pipelines to ingest, process, and distribute large volumes of data across client's platforms.
- Collaborate with business analysts and other business stakeholders to develop and maintain the data models and schemas that support daily operations.
- Optimize data storage and retrieval processes within the client's data warehouse(s), ensuring performance and scalability.
- Ensure that the client's data handling practices comply with regulatory requirements and industry best practices.
- Continuously evaluate new technologies for data processing and analytics. Make recommendations to enhance data quality, efficiency, and scalability.
- Create and maintain comprehensive documentation for data pipelines, models, and workflows, sharing your with the team, contributing to our culture of learning.
- 5+ years of professional experience working as a Data Engineer.
- 8+ years of relevant professional software development experience.
- A passion for software development and data with a positive mindset and can-do attitude.
- A bias for extreme ownership, and a forensic attention to detail.
- A deep commitment to the full range of the engineering discipline - design, documentation, and testing.
- English Skills - Must be able to effectively communicate via written and spoken English.
- Experience with CI/CD for React Native applications.
- Fully Remote Work Environment
- Flexible schedule
- Awesome team
- Great Pay
- Email your resume (or questions) to:
- Comp: Hourly Rate (DOE)
- BearPeak is an Equal Opportunity Employer
- No third parties please.
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Staff Data Engineer - Boulder, United States - BearPeak Technology Group
Description
Staff Data Engineer
Position Type: Contract
Onsite Flexibility: 100% Remote
Who Are We?
BearPeak is a boutique software engineering consulting firm based in Boulder, CO. Our team of professionals is distributed across the United States, working remotely for various clients.
Who Are You?
You are an experienced Data Engineer with a strong understanding of a broad array of data systems and a knack for engineering scalable data pipelines. You sit at the nexus of Business Intelligence, Software Engineering, and Data Science, and are comfortable wearing each hat.
What you'll be doing ...
Requirements
Reasons to Work with Us
Contact and Other