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Databricks Jobs in McKinney, TX (NOW HIRING)

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

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 ...

dhanutek

Databricks Administrator

Dallas, TX

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 ...

JPS Tech Solutions LLC

Databricks Admin

Dallas, TX · On-site

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

Northern Base

Databricks Developer

Irving, TX · On-site

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 ...

Noblesoft Technologies

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 ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · Remote

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 ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site +1

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 ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX

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 ...

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 ...

Databricks

Lead Engagement Manager, FDE - CMEG

Dallas, TX · On-site

$178K - $245K/yr

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 ...

McKesson

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 ...

Anblicks

Lead Databricks Engineer

Coppell, TX · On-site

$95K - $125K/yr

Design and implement end-to-end data architecture using Databricks Lakehouse platform * Define data engineering best practices and build scalable ETL/ELT pipelines * Architect solutions leveraging ...

McKesson

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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All JobsDatabricks JobsDatabricks Jobs in McKinney, TX

Databricks information

See McKinney, TX salary details

$21.8K

$35K

$47.3K

How much do databricks jobs pay per year?

As of Aug 14, 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 job categories do people searching Databricks jobs in McKinney, TX look for?

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

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

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

Databricks jobs near you
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 Engineer

VIS IT Solutions Inc

Plano, TX • On-site

Contractor

Posted 25 days ago

Job description

Hi,
 
Please find the job description below
 
Role: Data Bricks Engineer
Location: Plano, TX
 
Job Summary:
 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, and scalability
 
Key Responsibilities:
 
•     Design, develop, and maintain scalable data pipelines using Databricks Implement and manage Unity Catalog for centralized data governanance
•     Develop and optimize Spark Declarative Pipelines (SDP) and moderatePerform end-to-end data validation, reconciliation, and quality assurance.
•     Lead migration projects involving:
•     PySpark jobs from AWS EMR to Databricks Hive-based ETL workloads to Databricks and Delta Lake.
•     Legacy data platforms to Databricks Lakehouse architecture.
•     Convert and optimize Hive SQL, Spark SQL, and PySpark workloads forImple and automation for validation and PySparkjobs from AWS EMR to Databricks.
•     Hive-based ETL workloads to Databricks and Delta Lake.
•     Legacy data platforms to Databricks Lakehouse architecture.
•     Convert and optimize Hive SQL, Spark SQL, and PySpark workloads for Database Implement data quality frameworks and automation for validation and reconcilation Work closely with architects, business stakeholders, and data consumers to | Optimize Databricks jobs for performance, reliability, and cost efficiency.
•     Manage CI/CD processes and infrastructure automation for Databricks deplo Ensure compliance with enterprise data security, governance.
 
Required Skills:
 
•     Databricks & Data Engineering Strong experience with Databricks Lakehouse Platform.
•     Hands-on experience with Delta Lake, Medallion Architecture, and Databric Expertise in PySpark and Spark SQL.
•     Experience working with large-scale data processing and performance tuning Unity Catalog Strong understanding of: Unity Catalog setup and administration.
•     Strong understanding of Unity Catalog setup and administration Fine-grained access control (RBAC). Data lineage and audit capabilities.
•     Data governance and security implementation.
•     Spark Declarative Pipelines (SDP) Hands-on experience implementing and maintaining SDP pipelines.
•     Knowledge of pipeline orchestration, monitoring, and optimization.
•     Experience building reusable and scalable data transformation framework Data Validation & Quality Experience designing and implementing data validation frameworks.
•     Data reconciliation between source and target systems. Validation of migrated datasets to ensure accuracy and completeness.
•     Experience with data quality monitoring and observability tools.
•     Migration Experience Proven experience in migratingPySparkworkloads from AWS EMR to Databricks.
•     Mive-based ETL jobs to Databricks. Legacy data warehouses and Hadoop ecosystems to Databricks.