Overview: Job Title: Data EngineerLocation: Irvine, CA
Job Type: Full-Time Opportunity
Job Summary We are seeking a highly skilled
Data Engineer with strong platform engineering and data pipeline expertise to support enterprise-scale delivery initiatives. The ideal candidate should have deep hands-on experience with Databricks, Airflow/Astronomer, DevOps automation, and scalable data engineering solutions.
This role requires senior-level engineers capable of owning technical delivery, driving platform reliability, and collaborating with highly technical engineering teams.
Required Skills - Strong hands-on expertise in:
- Databricks
- Apache Spark
- Airflow / Astronomer
- Data Engineering and pipeline orchestration
- Experience with:
- Spark performance tuning
- Databricks platform administration
- DAG design and enterprise orchestration
- Data quality and scalable pipeline architecture
- Strong DevOps knowledge including:
- CI/CD pipelines
- Infrastructure as Code (IaC)
- Automation frameworks
- Experience managing:
- Platform stability
- Monitoring and observability
- Operational readiness and support
Key Responsibilities - Design, develop, and optimize scalable data pipelines and workflows
- Build and maintain enterprise orchestration solutions using Airflow/Astronomer
- Perform Spark optimization and Databricks platform tuning
- Support platform engineering initiatives focused on scalability, reliability, and automation
- Implement CI/CD and infrastructure automation for data platforms
- Monitor platform health and ensure operational stability
- Collaborate with cross-functional engineering teams to deliver technical solutions
- Own technical delivery for assigned scope, timelines, and outcomes
Preferred Qualifications - Experience in cloud-based data engineering environments
- Strong troubleshooting and performance optimization skills
- Experience working in highly technical Agile engineering teams