Lead Data Engineer (Databricks)
Rearc · Remote
- Last confirmed live
- 2 days ago
What this role involves
Rearc is hiring a Lead Data Engineer with deep Databricks expertise to serve as technical anchor on client-facing engagements. The role involves architecting and building production-grade data platforms, mentoring engineers, and championing DataOps practices. Requires 8+ years of hands-on data engineering experience and expert-level Apache Spark skills.
Skills this posting asks for
- apache spark
- python
- scala
- databricks
- delta lake
- unity catalog
- databricks workflows
- aws
- azure
- gcp
- aws redshift
- aws glue
- aws s3
- azure synapse
- azure data factory
- azure adls
- google bigquery
- google dataflow
- google gcs
- ci/cd
- dataops
- etl
- elt
- data warehousing
Requirements
- 8 years of experience
- Level: lead
Apply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at Rearc
- AI Native Software Engineer Remote
- Senior Data Engineer 🇺🇸Hybrid (New York, New York, US)