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Databricks Developer Jobs in McKinney, TX (NOW HIRING)

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

Databricks Data Engineer II

Dallas, TX · On-site

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

Lead and scale Databricks platform administration across enterprise workspaces and multi-cloud ... Partner cross-functionally with Engineering, Security, Cloud, and Operations teams to ensure secure ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for databricks developer in McKinney, TX is $57.07, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $63.12 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

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

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
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What cities near McKinney, TX are hiring for Databricks Developer jobs? Cities near McKinney, TX with the most Databricks Developer job openings:
Databricks Architect

Full-time

Re-posted yesterday


Job description

Job Title: Databricks Architect
Work Location: Irving, TX
Duration :8+months
Job Description:
We seek a DataBricks Solutions Architect who is passionate about crafting outstanding data management and engineering solutions. This position is perfect for a strategic problem solver with a vision for bringing to bear data to assist clients in making informed decisions.
About You:
You are passionate about crafting and presenting analytical solutions for clients
Have experience with DataBricks, data management, and data engineering technologies
Have successfully implemented technical solutions across various domains
What you'll do:
At OneMagnify, a DataBricks Solutions Architect plays a crucial role in crafting client solutions and supporting the pre-sales cycle. This senior-level individual contributor role entails developing proof-of-concepts and staying up-to-date with the latest trends in data management and engineering. Reporting to the Senior Director of Data Engineering, you will propel growth and solution opportunities for potential and current clients.
Research and apply existing data management and engineering tools
Broaden our range of services by incorporating technologies such as DataBricks and reporting platforms like Tableau, Domo, and PowerBI.
Use large data sets to identify optimization opportunities and test advanced models
Apply various data mining and analysis methods, develop models, and build simulations
Assist in the pre-sales process by comprehending client business objectives and identifying how data-driven insights can help accomplish them
Collaborate with a wide range of partners and functional teams
Regularly meet with clients to offer mentorship on new service offerings and capabilities
What you'll need:
Undergraduate degree. 15+ years of experience in information technology, analytics, or data science, or equivalent
Proven problem-solving skills with a focus on client consulting
Experience with statistical programming languages (R, Python, SQL) to manipulate data and derive insights
Proficiency in DataBricks and reporting software
Knowledge of machine learning techniques (clustering, ensemble methods, neural networks)
Strong understanding of statistical techniques and concepts (regression, distributions, statistical tests)
Excellent communication skills for coordinating across teams and presenting to clients