ZipRecruiter

Log In

1

Databricks Jobs in Houston, TX (NOW HIRING)

Nam Info Inc

Databricks Azure Consultant

Houston, TX · On-site

$52.50 - $65.25/hr

Databricks Azure Location: Houston, TX - Hybrid 2-3 days Duration: 6 months JD: Role Summary * We are seeking an experienced Databricks Consultant to design, develop, and implement scalable data ...

ZipStaff Inc.

Azure Databricks Architect

Houston, TX · On-site

$65 - $67/hr

Job Title: Azure Databricks Architect Location: Houston, TX (On-site) Employment Type: Contract (W2 through ZipStaff) About the Opportunity ZipStaff is seeking an experienced Azure Databricks ...

Scadea

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Core Databricks Engineering: Design, build, and optimize end-to-end data pipelines entirely within Azure Databricks and Delta Lake using PySpark, SQL, or Scala. * Orchestration & Automation: Build ...

next page

Showing results 1-20

All JobsDatabricks JobsDatabricks Jobs in Houston, TX

Databricks information

See Houston, TX salary details

$22.4K

$36K

$48.7K

How much do databricks jobs pay per year?

As of Aug 27, 2026, the average yearly pay for databricks in Houston, TX is $36,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $39,600.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

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 involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Houston, TX?

The most popular types of Databricks jobs in Houston, TX are:

What are popular job titles related to Databricks jobs in Houston, TX?

For Databricks jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Houston, TX look for?

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

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

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

Databricks jobs near you
Infographic showing various Databricks job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $36,016 per year, or $17.3 per hour.

Databricks Consultant

Prophecy Technologies

Houston, TX • On-site

Full-time

Posted 13 days ago

Job description

Role Overview:
We are seeking an experienced Databricks Consultant to design, develop, and implement scalable data solutions on the Databricks platform. The ideal candidate will have strong expertise in data engineering, cloud platforms, Spark, and modern data architectures, with the ability to work closely with business and technical stakeholders.
Key Responsibilities:
  • Design and develop data pipelines using Databricks, Apache Spark, and PySpark.
  • Build and maintain ETL/ELT processes for large-scale data ingestion and transformation.
  • Implement data lake and lakehouse architectures on Databricks.
  • Integrate data from multiple sources, including databases, APIs, and cloud storage.
  • Optimize Spark jobs and Databricks workloads for performance and cost efficiency.
  • Collaborate with business users, architects, and developers to understand requirements and deliver solutions.
  • Develop data models and support reporting, analytics, and AI/ML initiatives.
  • Implement data quality, governance, security, and monitoring standards.
  • Support production deployments, troubleshooting, and performance tuning.
  • Prepare technical documentation and provide knowledge transfer to project teams.

Required Skills:
  • Strong hands-on experience with Databricks.
  • Expertise in Apache Spark, PySpark, and SQL.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of Delta Lake, Unity Catalog, and Databricks Workflows.
  • Experience with data warehousing and data lake concepts.
  • Strong understanding of ETL/ELT frameworks and data modeling.
  • Familiarity with CI/CD, Git, and DevOps practices.
  • Excellent problem-solving and communication skills.

Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • 5+ years of experience in Data Engineering/Big Data.
  • 2+ years of hands-on Databricks implementation experience.

Preferred Skills:
  • Experience with Azure Data Factory (ADF), Azure Synapse, or AWS Glue.
  • Knowledge of Machine Learning and MLOps on Databricks.
  • Experience with streaming technologies such as Kafka and Structured Streaming.
  • Databricks or Cloud Platform certifications.

Apply