GCP Senior Technical Lead with Databricks Onsite- Irving, TX DataBricks Engineer 8+ years of experience in data engineering, with at least 3 years on Databricks. - Strong proficiency in PySpark, SQL ...
GCP Senior Technical Lead with Databricks Onsite- Irving, TX DataBricks Engineer 8+ years of experience in data engineering, with at least 3 years on Databricks. - Strong proficiency in PySpark, SQL ...
Azure Databricks Engineer
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Azure Databricks Engineer
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$54.75 - $67.75/hr
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Quick apply
Databricks Admin
Dallas, TX · On-site
Strong understanding of data engineering needs Strong understanding of aws infrastructure required by Databricks Experience with compliance audits/audit documentation Experience using Databricks APIs ...
Databricks Engineer information
See Dallas, TX salary details
$58.9K - $71.8K
14% of jobs
$79.5K is the 25th percentile. Wages below this are outliers.
$71.8K - $84.7K
19% of jobs
$84.7K - $97.6K
12% of jobs
The median wage is $102.1K / yr.
$97.6K - $110.5K
17% of jobs
$110.5K - $123.4K
12% of jobs
$125.7K is the 75th percentile. Wages above this are outliers.
$123.4K - $136.3K
14% of jobs
$136.3K - $149.3K
7% of jobs
$149.3K - $162.2K
3% of jobs
$162.2K - $175.1K
0% of jobs
$175.1K - $188K
1% of jobs
$188K - $200.9K
2% of jobs
$58.9K
$110.5K
$200.9K
How much do databricks engineer jobs pay per year?
What engineers make $500,000?
Is it hard to get hired at Databricks?
What is the salary of engineer in Databricks?
Is Databricks Data Engineer in demand?
What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?
What is a Databricks Engineer?
What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

Full-time
Posted 20 days ago
Job description
Onsite- Irving, TX
DataBricks Engineer
8+ years of experience in data engineering, with at least 3 years on Databricks.
- Strong proficiency in PySpark, SQL, and Delta Lake.
- Hands-on experience with GCP Dataproc.
**Responsibilities:**
1. **Administration**:
- Lead the installation and configuration of Databricks on GCP cloud platforms.
- Monitor platform health, performance, and cost optimization.
- Implement governance, logging, and auditing mechanisms.
2. **Development / Enhancements**:
- Design and develop scalable ETL/ELT pipelines using PySpark, SQL, and Delta Lake.
- Collaborate with data engineers and analysts to enhance data workflows and models.
- Optimize existing notebooks and jobs for performance and reliability.
3. **Operations, Support & Troubleshooting**:
- Provide L2/L3 support for Databricks-related issues and incidents.
- Troubleshoot cluster failures, job errors, and performance bottlenecks.
- Maintain technical documentation for platform setup, operations, and development standards