Data Engineer

Harnham; Colorado; Remote; USD 120,000 - 180,000; Full time

Job summary

Harnham is seeking a Data Engineer to join a small, highly collaborative engineering team and help build a scalable cloud data platform. You will own end-to-end data ingestion, transformation, and data quality across analytics, reporting, and AI initiatives.

You will work with technologies like Snowflake, Databricks, and Azure, developing Python/SQL workflows and establishing data governance practices. This fully remote role offers ownership and growth in a fast-moving, global business.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data pipelines

Snowflake

Databricks

Azure

Data quality

DataOps

Problem solving

Communication

Job description

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.