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Databricks Software Jobs in McKinney, TX (NOW HIRING)

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site +1

The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment. Requirements The Azure Databricks ...

1 point system

Databricks Developer

Dallas, TX · Remote

Deep Databricks experience (Spark, PySpark, Delta Lake, Databricks Workflows/Jobs, ETL pipelines, performance tuning) * Strong Java development experience * Spring Boot, REST APIs, Microservices

CEDENT

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. * Architect and implement end-to-end analytics ...

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Showing results 21-40

All JobsDatabricks Software JobsDatabricks Software Jobs in McKinney, TX

Databricks Software information

See McKinney, TX salary details

$44.5K

$103.8K

$154.1K

How much do databricks software jobs pay per year?

As of Sep 2, 2026, the average yearly pay for databricks software in McKinney, TX is $103,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $120,600.00 per year, depending on experience, location, and employer.

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in McKinney, TX?

For Databricks Software jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in McKinney, TX look for?

The top searched job categories for Databricks Software jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Databricks Software jobs?

Cities near McKinney, TX with the most Databricks Software job openings:

Databricks Software jobs near you
Infographic showing various Databricks Software job openings in McKinney, TX as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,796 per year, or $49.9 per hour.

Databricks Admin

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Other

Re-posted 4 days ago

Job description

Tiger Analytics is advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
Tiger Analytics team is looking for a strategic-minded technology leader with a strong track record of identifying gaps, defining roadmaps, and seeing solutions through from ideation to fruition. This role will provide technical solution to multiple engineering and operation teams, develop platform architecture blueprints, guide the development of junior engineers into individual-contributor leaders, and bridge the gaps between platform teams with application and central architecture teams. The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment.
Requirements
The Azure Databricks Administrator will be responsible for providing technical expertise in deploying applications on Azure Databricks platform.
The Databricks Administrator must be self-motivated and apply knowledge of Azure to drive solutions, support the development team, and create documentation to support and describe technical solutions.
  • Primary Skill : Azure Databricks Admin & Application
  • Memory Management
  • Handle Scheduling queues & Messages
  • Performance Management
  • Supervise Clusters Health check
  • Regular Back up & recovery
  • Node Commissioning & Decommissioning
  • Hive connections, Kafka, Spark, Map Reduce, Tez
  • Secondary Skills - Azure HDInsight, Databricks, Storage, accounts, Storage explorer, Key vaults
  • User Group Administration,
  • Privilege Checks
  • Code Deployment to Production
  • Server Log Analysis
  • Scheduled Report Monitoring & Back up Monitoring

Benefits
    Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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