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Databricks Engineer Jobs in Houston, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Professional Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. * Build and optimize data ...

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Build and optimize solutions within Databricks, including notebooks, workflows/jobs, Delta Lake ... Data Engineering . Software Development . Databricks . Snowflake . Data Integration/ETL/ELT

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Data Engineer

Houston, TX

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Data Engineer

Houston, TX · On-site

$80 - $110/hr

Design, build, and operate scalable batch and real‑time/streaming data pipelines on Databricks ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Data Engineer

Houston, TX · On-site

$100 - $140/hr

Design, build, and operate scalable batch and real‑time/streaming data pipelines on Databricks ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland ... Build, optimize, and support pipelines that land data from source systems into the Databricks lake ...

Data Engineer III

The Woodlands, TX · On-site

$120 - $160/hr

Build and operate Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta ... Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file ...

Lead Analyst Data Engineer

Houston, TX · On-site

$120 - $150/hr

This role leads the adoption of modern data architectures such as a Lakehouse and Databricks ... Mentoring junior architects and engineers. * Working with cross‑functional teams to deliver ...

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Requirements · Strong Expertise in DATA Azure data lake Azure Databricks, Azure SQL, Power BI · Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data ...

Data Engineer III

The Woodlands, TX · On-site

$104K - $125K/yr

Build and operate Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta ... Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file ...

Showing results 41-60

Databricks Engineer information

See Houston, TX salary details

$50K

$93.8K

$170.6K

How much do databricks engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for databricks engineer in Houston, TX is $93,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $111,300.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

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

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

Infographic showing various Databricks Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $93,790 per year, or $45.1 per hour.

Data Engineer

Rysun Labs Inc

Houston, TX • On-site

$60/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 days ago


Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision-making. The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions.
 
Job Title: Data Engineer
Location: Houston Tx
 Experience: 4–7 Years
Mandatory Certification: 

  • Databricks Certified Data Engineer Associate OR
  • Databricks Certified Data Engineer Professional
Key Responsibilities
  •  Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  •  Build and optimize data integration workflows from multiple data sources.
  •  Develop and manage data warehouses, data lakes, and cloud-based data platforms.
  • Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, governance, and security across enterprise systems.
  •  Optimize SQL queries, database performance, and data processing workflows.
  • Monitor and troubleshoot data pipeline issues and implement performance improvements.
  • Support reporting, analytics, and machine learning initiatives by providing reliable datasets.
  • Implement data validation, monitoring, and automation processes.
  • Participate in Agile development processes and technical design discussions.
 Required Skills & Experience
  •  4–7 years of experience in Data Engineering or related roles.
  • Strong expertise in SQL and database design concepts.
  • Hands-on experience with ETL/ELT tools and data integration frameworks.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong knowledge of Data Warehousing, Data Modeling, and Data Lake architectures.
  •  Proficiency in Python, PySpark, or Scala for data processing.
  • Experience with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka.
  • Knowledge of CI/CD, version control (Git), and automation best practices.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Exposure to real-time data processing and streaming technologies.
  • Experience working in Agile/Scrum environments.