Data Engineer - Databricks AWS

#### 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.

#### Future Opportunity Role – Talent Pipeline
This is a future opportunity role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.

#### 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
Applications will be accepted until June 28, 2026. Candidates can expect feedback by July 1, 2026.