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Databricks Software Jobs in Dallas, TX (NOW HIRING)

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · Remote

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 ...

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 ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX

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 ...

Infosys

Azure Databricks Admin

Plano, TX · On-site

$53 - $65.75/hr

... software application design discussions, and maintaining system stability through coding and ... Required : • Expertise in Databricks platform, security features, Unity Catalog, and data access ...

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 in building data strategy on various data management tools. * Extensive experience in Databrick (8 ...

New

eTeam

Sr. Databricks Lead

Dallas, TX · On-site

Job Summary : eTeam is a company seeking a Sr. Databricks Lead to design, build, and optimize big ... or software development Preferred : • 8-10 years of experience Company : eTeam is a staffing ...

Deloitte

Databricks Manager

Dallas, TX · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

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All JobsDatabricks Software JobsDatabricks Software Jobs in Dallas, TX

Databricks Software information

See Dallas, TX salary details

$47.5K

$110.6K

$164.2K

How much do databricks software jobs pay per year?

As of Jun 21, 2026, the average yearly pay for databricks software in Dallas, TX is $110,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $128,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

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.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

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 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 exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

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 Dallas, TX? For Databricks Software jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Dallas, TX look for? The top searched job categories for Databricks Software jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Databricks Software jobs? Cities near Dallas, TX with the most Databricks Software job openings:
Databricks Software jobs near you

Software Engineer III - Python & Databricks

JPMorganChase

Plano, TX • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, offering innovative financial solutions to a wide range of clients. As a Software Engineer III, you will develop and maintain critical software applications using Python and collaborate within an agile team to solve complex problems and deliver high-quality solutions.
Responsibilities:
• Develops workflows, ELT pipelines using Pyspark, Databricks
• Execute software solutions, design, development, and technical troubleshooting to build innovative applications
• Create secure, high-quality production code and maintain efficient algorithms
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met
• Gather, analyze, and synthesize data to develop visualizations and reporting for continuous improvement
• Identify hidden problems and patterns in data to drive enhancements in coding hygiene and system architecture
• Contribute to software engineering communities of practice and events focused on emerging technologies
• Add to a team culture of diversity, opportunity, inclusion, and respect
Qualifications:
Required:
• Good working knowledge of AWS, Databricks, PySpark
• Hands-on experience in system design, application development, testing, and operational stability
• Skilled in coding in one or more programming languages
• Experience developing, debugging, and maintaining code in large environments using modern programming and database querying languages
• Knowledge of the Software Development Life Cycle
• Understanding of agile methodologies, including CI/CD, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes within disciplines such as cloud, artificial intelligence, machine learning, or mobile
Preferred:
• Experience with Databricks or AWS S3
• Exposure to cloud technologies or distributed computing
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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