Senior Data Engineer: Databricks, Spark & Cloud Pipelines

New York Technology Partners

Irvine (CA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

New York Technology Partners in Irvine is seeking a hands-on Senior Data Engineer to build and support enterprise-scale data solutions using Databricks and modern cloud data technologies. You will develop scalable ETL/ELT pipelines with Databricks, PySpark, Python and SQL, optimize Spark workloads, and orchestrate workflows using Airflow and Astronomer.

Partner with data scientists and business teams to deliver reliable production data environments on cloud platforms (AWS/Azure/GCP) with CI/CD

Qualifications

  • 7+ years of Data Engineering experience.
  • Hands-on Databricks and Apache Spark experience.
  • Advanced PySpark and SQL skills.
  • Strong Apache Airflow and Astronomer experience.
  • Experience with Terraform, Pulumi, or similar infrastructure-as-code tools.
  • Experience building production-grade ETL/ELT pipelines.
  • Cloud experience with AWS, Azure, or GCP.
  • Experience with Git, CI/CD, monitoring, and production support.

Responsibilities

  • Build and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and SQL
  • Develop and optimize batch and streaming data workflows
  • Create and manage Airflow DAGs and workflows using Astronomer
  • Optimize Spark workloads and troubleshoot production pipeline issues
  • Implement data quality, monitoring, and reliability standards
  • Support CI/CD, infrastructure automation, and production deployments
  • Partner with technical and business teams to deliver scalable data solutions

Skills

Databricks
PySpark
Python
SQL
Airflow
Astronomer
Terraform
Pulumi
CI/CD
Git
Monitoring
Production support

Tools

Databricks
Apache Spark
Airflow
Astronomer
Terraform
Pulumi

Job description

New York Technology Partners in Irvine is seeking a hands-on Senior Data Engineer to build and support enterprise-scale data solutions using Databricks and modern cloud data technologies. You will develop scalable ETL/ELT pipelines with Databricks, PySpark, Python and SQL, optimize Spark workloads, and orchestrate workflows using Airflow and Astronomer.

Partner with data scientists and business teams to deliver reliable production data environments on cloud platforms (AWS/Azure/GCP) with CI/CD

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