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Databricks Jobs in McKinney, TX (NOW HIRING)

Databricks administrator Work location: Dallas, TX/LA Duration: 12 plus months contract with possible extension Skills : * 4+ years - Database admin * 2+ years - Databricks admin * 2+ years - Python ...

We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms data platforms while ensuring data quality, security ...

Databricks Admin Location Dallas, TX/LA Job duties: Responsibilities will include designing, implementing, and maintaining the Databricks platform, and providing operational support Operational ...

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 ...

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Databricks Architect Location: Remote - Dallas, Texas Role/Responsibilities * Lead the data solutions stream within the program, ensuring timely and quality delivery of data components. * Oversee the ...

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 ...

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 ...

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 ...

Azure Databricks Engineer

Dallas, TX

$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 ...

Expertise in Databricks architecture, ecosystem, and strategic account planning. * Ability to travel up to 25-50% as required. Pay Range Transparency Databricks is committed to fair and equitable ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

Our team is early in its Databricks maturity journey, and this hire will establish foundational standards, processes, and scaling capabilities across the platform . * Our preferred candidate would ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

Our team is early in its Databricks maturity journey, and this hire will establish foundational standards, processes, and scaling capabilities across the platform . * Our preferred candidate would ...

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Databricks information

See McKinney, TX salary details

$21.8K

$35K

$47.3K

How much do databricks jobs pay per year?

As of Aug 13, 2026, the average yearly pay for databricks in McKinney, TX is $35,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $38,500.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What cities near McKinney, TX are hiring for Databricks jobs? Cities near McKinney, TX with the most Databricks job openings:
Infographic showing various Databricks job openings in McKinney, TX as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $35,000 per year, or $16.8 per hour.

Databricks Administrator

dhanutek

Dallas, TX

Contractor

Posted 5 days ago


Job description

Position Title: Databricks administrator 

Work location: Dallas, TX/LA 

Duration: 12 plus months contract with possible extension 

Skills :

  • 4+ years - Database admin
  • 2+ years - Databricks admin
  • 2+ years - Python, Pyspark

Job Description :

  • Responsibilities will include designing, implementing, and maintaining the Databricks platform, and providing operational support
  • Operational support responsibilities include platform set-up and configuration, workspace administration, resource monitoring, providing technical support to data engineering, Data Science/ML, and Application/integration teams, performing restores/recoveries, troubleshooting service issues, determining the root causes of issues, and resolving issues
  • Assist in the deployment and configuration of Databricks environments, ensuring alignment with best practices for security and performance
  • Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization
  • Install, configure, and maintain Databricks clusters and workspaces
  • Maintain Platform currency with security, compliance, and patching best practices
  • Monitor and manage cluster performance, resource utilization, platform costs, and troubleshoot issues to ensure optimal performance
  • Implement and manage access controls and security policies to protect sensitive data
  • Manage schema data with Unity Catalog - create, configure, catalog, external storage, and access permissions
  • Manage AWS resources related to Databricks and networking configurations

Technical Competencies:

  • Strong understanding of data engineering needs
  • Strong understanding of aws infrastructure required by Databricks
  • Experience with compliance audits/audit documentation
  • Experience using Databricks APIs, system tables for creating admin related queries and dashboards
  • Understanding of the Databricks workspace and development environment
  • Strong debugging skills
  • Proficiency in pySpark, Python, SQL and aws