Remote Tech Lead Data Engineer
Kibbi
Drive data engineering initiatives as a Remote Tech Lead with hands-on experience in Databricks and PySpark. Lead architecture and development for enterprise-scale data systems.
In this Tech Lead role, you will own the technical direction for data engineering projects while collaborating with product and engineering teams. Your responsibilities include designing and building scalable data pipelines, mentoring engineers, and promoting best practices. The position is fully remote with key collaboration in U.S. time zones.
Key Responsibilities: • Own architecture and technical direction of data projects • Design scalable data pipelines using Databricks and PySpark • Lead development efforts, conduct code reviews • Mentor and guide data engineers in best practices • Facilitate architectural discussions and technical vision
Requirements: • 10+ years in Data Engineering or similar roles • Proven experience as a Tech Lead or similar position • Strong expertise in Python, SQL, and AWS • Background in data architecture and pipeline design • Excellent communication skills to influence decisions
Contribute your expertise in data engineering and leadership to create impactful data solutions in a fully remote setting. #J-18808-Ljbffr
In this Tech Lead role, you will own the technical direction for data engineering projects while collaborating with product and engineering teams. Your responsibilities include designing and building scalable data pipelines, mentoring engineers, and promoting best practices. The position is fully remote with key collaboration in U.S. time zones.
Key Responsibilities: • Own architecture and technical direction of data projects • Design scalable data pipelines using Databricks and PySpark • Lead development efforts, conduct code reviews • Mentor and guide data engineers in best practices • Facilitate architectural discussions and technical vision
Requirements: • 10+ years in Data Engineering or similar roles • Proven experience as a Tech Lead or similar position • Strong expertise in Python, SQL, and AWS • Background in data architecture and pipeline design • Excellent communication skills to influence decisions
Contribute your expertise in data engineering and leadership to create impactful data solutions in a fully remote setting. #J-18808-Ljbffr
Reference: WJ-3875_13735694