Senior Data Engineer

Software Resources has an immediate job opportunity for a Senior Data Engineer with a major corporation in Glendale, CA. Hybrid, 2 days onsite (candidate may select onsite days)

12+ months

$90 -$93/hr DOE

Seeking an experienced Sr. Data Engineer to support enterprise data engineering initiatives. This individual will design, build, and optimize scalable data solutions while working closely with cross-functional teams to support data platform modernization efforts.

• Databricks
• Python
• Terraform

• AWS

As a Senior Data Engineer at The Studios, you will be pivotal in transforming data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. You will own and operate the Core Data platform on Databricks, delivering reliable batch and streaming Spark pipelines, platform governance, and solution architecture across AWS, Kubernetes, and Airflow.

Your expertise will be essential in explaining Spark architecture, recommending best-fit Databricks solutions to stakeholders, and optimizing our data-driven decision-making processes. If you’re passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization.

• Manage Databricks platform governance, including Unity Catalog, ACLs, lineage, and data discovery and privacy tooling
• Design, write, test, and deploy batch and streaming data pipelines using PySpark, Scala, SQL, Python, Kotlin
• Meet with stakeholders to gather requirements and translate them into scalable data platform solutions
• Understanding of Databricks platform and developer tooling to diagnose errors, audit platform activity, and automate updates across pipelines, objects, and integrations
• Ability to explain Spark architecture and pipeline behavior to stakeholders to diagnose root causes and recommend solutions
• Provide solution architecture across AWS, Databricks, Kubernetes, and Airflow (MWAA), including cross-platform integrations
• Build and maintain Kubernetes containers and containerized utilities supporting deployed data platform services
• Apply networking knowledge to troubleshoot connectivity and integration errors across platform components
• Perform platform administration: provision and remove access, assess resource utilization, monitor platform health and cost, and evaluate stakeholder requests
• Collaborate with engineers, architects, and product managers to drive Core Data platform success; participate in agile/scrum ceremonies
• Maintain documentation of platform changes, standards, and pipeline configurations to support data quality and governance
• Develop and maintain scalable data engineering solutions
• Build and enhance data pipelines and workflows
• Support cloud-based data platform initiatives
• Collaborate with engineering teams on system architecture and design
• Implement infrastructure automation and deployment standards
• Troubleshoot and optimize data processing environments

• 5+ years of data engineering experience developing and operating large-scale data pipelines
• Deep hands-on experience with Databricks and Apache Spark (batch and streaming), including pipeline development in PySpark and/or Scala
• Strong understanding of Spark architecture - executors, stages, partitioning, shuffle, and performance tuning with ability to explain tradeoffs to technical and non-technical stakeholders
• Proficiency with Databricks platform tooling (API, SDK, CLI) for automation, auditing, governance and operational troubleshooting
• Proficient in SQL with advanced performance tuning capabilities
• Hands-on production experience with Airflow (MWAA) for orchestrating data…