Location: 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
Job Title: Data Engineer Location: Irvine CAJob 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...
Job Title: Data Engineer
Location: 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