Job Description
About the RoleWe 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:
This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.
Benefits
In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:
Flexible working hours in a remote environment.
Health insurance (medical and dental) for T4 Employees.
A professional development fund to enhance your skills and knowledge.
15 days of paid time off annually.
Access to soft-skill development courses to further your career.
Position Details
This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.
Application Deadline
This role is an evergreen position with no predetermined start date. Applications will be accepted until February 27, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.