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Databricks Developer Jobs in Plano, TX (NOW HIRING)

Ruri Software Technologies LLC

Databricks Architect

Dallas, TX · On-site

$59.75 - $78.50/hr

Databricks Architect Location : Dallas, TX Duration : 8+ months * 12-15+ years relevant experience ... Proficiency in at least one programming language, such as Scala or Python, for implementing data ...

Epsilon

Lead Databricks Platform Engineer

Irving, TX · On-site

$98K - $129K/yr

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 ...

McKesson

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 ...

McKesson

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 ...

LaSalle Network

Databricks Senior Architect

Dallas, TX · On-site

$180K - $200K/yr

You'll own the end-to-end Databricks architecture (Unity Catalog, Medallion architecture, Delta Lake), lead a team of internal engineers, and direct external consulting partners to keep the migration ...

The LaSalle Group

Databricks Senior Architect

Dallas, TX · On-site

$180K - $200K/yr

You'll own the end-to-end Databricks architecture (Unity Catalog, Medallion architecture, Delta Lake), lead a team of internal engineers, and direct external consulting partners to keep the migration ...

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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 Plano, TX is $58.81, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.05 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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Databricks Developer jobs near you
Databricks Architect

Databricks Architect

Ruri Software Technologies LLC

Dallas, TX • On-site

$59.75 - $78.50/hr

Full-time

Re-posted yesterday

Job description

Job Title: Databricks Architect
Location: Dallas, TX
Duration: 8+ months
Job Description:
  • 12-15+ years relevant experience in building data strategy on various data management tools.
  • Extensive experience in Databrick (8-10 years)
  • Integrate and transform data from various sources, ensuring data quality and consistency.
  • Write and optimize Apache Spark code in Scala, Python, or other supported languages.
  • Analyze business requirements and design efficient and scalable data processing solutions using Databricks.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and requirements.
  • Strong SQL skills for querying and manipulating data in various data storage systems.
  • Proficiency in at least one programming language, such as Scala or Python, for implementing data processing logic.
  • Knowledge of ETL (Extract, Transform, Load) tools and methodologies.
  • Experience designing and implementing data pipelines for efficient data movement and transformation.
  • Understand the Databricks Unified Analytics Platform and its components.
  • Proficiency in using Databricks Notebooks for interactive data exploration and development.

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