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Databricks Software Jobs in Dallas, TX (NOW HIRING)

Databricks Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Tata Consultancy Services is seeking a highly skilled Databricks Certified Engineer to design, build, and optimize scalable data pipelines and ETL workflows. The role involves writing robust Python ...

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 Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Tata Consultancy Services is seeking a highly skilled and motivated Databricks Certified Engineer to design, build, and optimize scalable data pipelines and ETL workflows. The ideal candidate will be ...

Databricks Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Tata Consultancy Services is seeking a highly skilled and motivated Databricks Certified Engineer to design, build, and optimize scalable data pipelines and ETL workflows using the Databricks Data ...

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Software Data Operations Engineer Plano (Dallas), Texas About MAQ Software MAQ Software enables ... Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ...

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Software Data Operations Engineer  Plano (Dallas), Texas About MAQ Software MAQ Software enables ... Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ...

Sr Data Engineer (Databricks)

Plano, TX · On-site

$109K - $131K/yr

Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus ... Minimum of 8 years of experience developing software and data solution for enterprise environment ...

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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 Jul 15, 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 large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

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.

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. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

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 that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

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 cities near Dallas, TX are hiring for Databricks Software jobs? Cities near Dallas, TX with the most Databricks Software job openings:
Databricks Data Engineer

Databricks Data Engineer

Tata Consultancy Services

Irving, TX • On-site

$106K - $127K/yr

Full-time

Posted 3 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 210 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a highly skilled Databricks Certified Engineer to design, build, and optimize scalable data pipelines and ETL workflows. The role involves writing robust Python and Spark code, ensuring data quality, and implementing data governance across cloud environments.
Responsibilities:
• Design, build, and maintain scalable ETL/ELT data pipelines using PySpark, Delta Lake, Auto Loader, and Databricks Workflows.
• Design and process batch and streaming data to support the Medallion Architecture (Bronze, Silver, Gold layers).
• Implement access controls and data masking policies using Unity Catalog to secure Personally Identifiable Information (PII) and ensure compliance.
• Optimize Spark jobs, troubleshoot memory bottlenecks, and adjust cluster configurations for cost and compute efficiency.
• Proactively identify and address underlying data complexities, hidden challenges, and potential risks within data pipelines and the Databricks ecosystem, ensuring robust, secure, and efficient data solutions.
• Partner with Data Scientists and Analysts to curate datasets, support machine learning models (MLflow), and provide integrated reporting.
• Develop and maintain comprehensive documentation for data pipelines, data models, and ETL processes.
• Participate in code reviews to maintain high-quality code standards.
• Troubleshoot and resolve issues in data pipelines and Databricks clusters.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 8 - 10 Years of experience
• Databricks Platform Expertise: In-depth knowledge of the Databricks Data Intelligence Platform, including notebooks, Delta Lake, MLflow, Unity Catalog, Auto Loader, and Databricks Workflows.
• Databricks Certification: Relevant Databricks certification (Associate or Professional level) validating foundational or advanced skills in the platform.
• Strong proficiency in developing complex data transformations and analytics using PySpark.
• Expert-level proficiency in Python for data manipulation, scripting, and application development.
• Advanced proficiency in SQL for data querying and manipulation.
• Experience with shell scripting for automation and job orchestration.
• Hands-on experience with Databricks deployed on major cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Deep understanding of distributed computing, data warehousing principles, ETL/ELT processes, and data modeling.
Preferred:
• Familiarity with CI/CD tools (e.g., Databricks Asset Bundles, GitHub Actions, GitLab) and orchestration tools like Apache Airflow.
• Knowledge of Hive for data storage and querying.
• Familiarity with Kubernetes for deploying and managing containerized applications.
• Experience with Git or other version control systems.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US