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Databricks Engineer Jobs in Justin, TX (NOW HIRING)

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting. * Data Engineering & Integration : * Design and implement ETL/ELT processes to ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting Data Engineering & Integration: Design and implement ETL/ELT processes to ingest ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting. * Data Engineering & Integration : * Design and implement ETL/ELT processes to ...

Role: Databricks Developer Location: Irving, TX (Onsite) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ 8-22 years of experience in Data Engineering and ...

: 7+ years of relevant and progressive data engineering experience Deep Technical knowledge and experience in Databricks, Python, Scala, and Microsoft Azure architecture and platform including ...

: 7+ years of relevant and progressive data engineering experience Deep Technical knowledge and experience in Databricks, Python, Scala, and Microsoft Azure architecture and platform including ...

AWS & Databricks Platform Architect

Dallas, TX · Hybrid

$64 - $84/hr

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible ... Working knowledge of Databricks platform security architecture, including workspace isolation ...

Azure/Databricks Infrastructure Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

Databricks Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Tata Consultancy Services is seeking a highly skilled and motivated Databricks Certified Engineer to design, build, and optimize scalable data pipelines and ETL workflows. The ideal candidate will be ...

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Databricks Engineer information

See Justin, TX salary details

$70.3K

$131.8K

$239.7K

How much do databricks engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for databricks engineer in Justin, TX is $131,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $156,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Justin, TX? For Databricks Engineer jobs in Justin, TX, the most frequently searched job titles are:
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What cities near Justin, TX are hiring for Databricks Engineer jobs? Cities near Justin, TX with the most Databricks Engineer job openings:

Full-time

Re-posted 5 days ago


Job description

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, 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