Data Engineer - Databricks

About the Role

We work with global enterprises to design and build data platforms that power digital products used by millions of users. Our projects involve large-scale datasets, complex distributed pipelines, and real business impact.

We’re looking for a Senior Data Engineer to join our remote team and take ownership of building and scaling data solutions using Databricks on AWS. This is a hands-on senior IC role with strong influence on architecture and implementation.

What You'll Do

• Design, build, and maintain scalable ETL / ELT pipelines using Databricks, PySpark, and AWS
• Work with large, complex datasets in production environments
• Write clean, efficient, and maintainable Python and advanced SQL
• Build pipelines from scratch, not just maintain existing ones
• Ensure data quality, performance, reliability, and cost efficiency
• Collaborate closely with product, analytics, and engineering teams to translate business needs into technical solutions
• Contribute to architectural decisions and data engineering best practices

What We’re Looking For

• 7+ years of experience as a Data Engineer
• Strong, hands-on experience with: Python, SQL (advanced), PySpark, Databricks (production experience required) and AWS
• Proven experience designing and building end-to-end data pipelines
• Solid understanding of distributed data processing and data modeling
• Strong communication skills
• Fluent English, both written and spoken

Location

• Fully remote
• Must have availability to work overlapping U.S. Pacific, Central, or Eastern time zones

Application Deadline

This is an evergreen opening. We’re always interested in connecting with senior data engineers who want to build scalable, high-impact data platforms.