Data Engineer
Harnham
Colorado · Posted October 26, 2026
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Pay compared with the market
This listing does not state pay. Across 216 open data engineer listings that state pay, the middle half runs $112,500 to $159,500 and the median is $135,000.
Listed pay is what employers advertise, not what people are paid.
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Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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DATA ENGINEER – CLOUD DATA PLATFORM
REMOTE (USA)
$120,000 – $135,000 BASE + BENEFITS
The Opportunity
Be part of a company undergoing a large-scale data modernization initiative as it builds the next generation of its cloud data ecosystem.
This organization is investing heavily in data, analytics, and AI, creating a unique opportunity for a Data Engineer who wants to work on meaningful challenges involving data ingestion, transformation, platform scalability, and cloud architecture.
You’ll join a small, highly collaborative engineering team where you’ll play a key role in building and maintaining the data foundation that powers reporting, analytics, operational insights, and future AI capabilities.
If you’re someone who enjoys solving complex data problems, taking ownership of solutions, and working in an environment where your impact is highly visible, this role offers an excellent opportunity for growth.
What You’ll Do
Build and support scalable data pipelines that move data from various source systems into a cloud data platform
Develop data integration and transformation workflows using Python and SQL
Create reliable, high-quality datasets that enable analytics, reporting, and business intelligence initiatives
Monitor and improve data quality, performance, and reliability across the platform
Troubleshoot pipeline failures, data inconsistencies, and operational issues
Collaborate with analytics and business teams to ensure trusted, usable data is available downstream
Help establish best practices around DataOps, automation, observability, and platform governance
Support ongoing cloud modernization and migration initiatives
Contribute to architectural decisions and continuous platform improvements
Deliver solutions that scale with a rapidly growing global business
What We’re Looking For
5+ years of experience in Data Engineering, Data Platform Engineering, or similar roles
Strong experience designing, developing, and maintaining data pipelines
Hands-on expertise with Snowflake, Databricks, or modern cloud data warehouse technologies
Advanced SQL skills and strong proficiency in Python
Experience working within Azure or comparable cloud platforms
Solid understanding of ETL/ELT processes, data integration, and data warehousing concepts
Experience managing data quality, monitoring, and operational support
Comfortable working in fast-paced environments with significant ownership and accountability
Strong problem-solving, communication, and collaboration skills
Passion for building solutions that enable data-driven decision making
Why This Role
Help build the data foundation for a company-wide digital transformation
Work with modern technologies including Snowflake, Azure, Python, and cloud-native tools
Join a lean, high-performing team where engineers have real ownership
Influence architecture, standards, and the future direction of the data platform
Tackle large-scale data challenges that directly impact business outcomes
Gain exposure to analytics, AI, cloud modernization, and enterprise-scale data initiatives
Enjoy the flexibility of a fully remote environment
Accelerate your career by working on highly visible projects with executive-level support
If you’re looking for an opportunity where you can build, own, and scale modern data solutions while helping shape the future of a growing cloud data platform, we’d love to connect.
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