Job Description
What We're Working On
We help global enterprises launch digital products that reach millions of users. Our work spans massive datasets, scalable pipelines, and critical business challenges across industries.
What You’ll Do
- Lead technical direction for data engineering initiatives.
- Architect scalable data pipelines and systems using PySpark, AWS, and Databricks
- Guide and mentor a team of engineers, fostering best practices and code quality
- Collaborate with stakeholders across product, engineering, and data teams
- Solve enterprise-scale data challenges that impact real-world business outcomes
What We’re Looking For
- 10+ years in data engineering or related roles
- Experience leading technical teams or projects
- Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks
- Deep understanding of data architecture and pipeline design
- Excellent communication and leadership skills
- Fluent in English (spoken and written)
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.
Application Deadline
This is an evergreen opening with no set deadline; we’re always excited to connect with professionals who want to help us build the future
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