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Overnight L3 Support Engineer Jobs (NOW HIRING)

The 3DEXPERIENCE Level 3 (L3) Support Engineer is a technical position responsible for providing advanced troubleshooting, diagnostics, and resolution of complex production issues across the Dassault ...

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How much do overnight l3 support engineer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for overnight l3 support engineer in the United States is $39.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $46.63 per hour, depending on experience, location, and employer.
What cities are hiring for Overnight L3 Support Engineer jobs? Cities with the most Overnight L3 Support Engineer job openings:
What are the most commonly searched types of L3 Support Engineer jobs? The most popular types of L3 Support Engineer jobs are:
What states have the most Overnight L3 Support Engineer jobs? States with the most job openings for Overnight L3 Support Engineer jobs include:

Data Support Engineer (Databricks experience)

WorkNovas LLC

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 25 days ago


Job description

Position: Data Support Engineer (Databricks experience)

Location: Chicago, IL 6060

Duration: 6 months

Job Description:

A Data Application Support role specializing in Databricks focuses on maintaining, troubleshooting, and optimizing Spark-based data pipelines and Lakehouse architectures. Key responsibilities include resolving L2/L3 production incidents, performance tuning SQL/Python (PySpark) jobs, managing Delta Lake assets, and collaborating with data engineers to ensure data reliability.

Key Responsibilities

  • Incident & Problem Management: Provide L2/L3 support for data applications, resolving production issues and troubleshooting Databricks jobs, notebooks, and workflows.
  • Performance Tuning: Optimize Spark applications, SQL queries, and Delta Lake tables to improve efficiency and reduce costs.
  • Pipeline Maintenance: Monitor and troubleshoot ETL/ELT pipelines in Databricks (including Data Factory/Delta Live Tables), ensuring data quality and lineage (Unity Catalog).
  • Collaboration: Act as a liaison between users, data engineering teams, and platform engineering, providing technical expertise and contributing to documentation.
  • Automation: Create tools to automate routine support tasks and enhance support team productivity. Databricks +5

 

Required Qualifications & Skills

  • Technical Expertise: Strong hands-on experience with Apache Spark, Python/PySpark, and SQL.
  • Databricks Ecosystem: Proficiency with Databricks Unified Data Analytics Platform, Delta Lake, and ideally Azure Databricks.
  • Cloud Data Storage: Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake technologies.
  • Version Control & CI/CD: Experience with Git/Azure DevOps for code management.
  • Problem-Solving: Strong analytical skills, with the ability to diagnose complex data processing bottlenecks. 

 

"Nice-to-Have" Skills 

  • Data orchestration tools (e.g., Apache Airflow, Azure Data Factory).
  • Data governance tools (e.g., Unity Catalog, Collibra).
  • Streaming data knowledge (e.g., Spark Structured Streaming).