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
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
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