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Databricks Software Jobs in Texas (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127.30K/yr

NAVA Software solutions is looking for a Principal Data Engineer Details: Principal Data Engineer ... Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to ...

Deloitte

Senior Forward Deployed Engineer- Databricks

Austin, TX · On-site

$103.60K - $142.20K/yr

... software, engaging confidently with senior stakeholders and engineers to bring measurable business ... DBRX, MLflow, Vector Search, Databricks AI Gateway * 1+ years of experience leading project ...

Merican

Developer III - Software Engineering

Frisco, TX · On-site

Developer III - Software Engineering Location: Frisco,TX Duration: 13 Months Job Type: Temporary ... Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop ...

Merican

Developer III - Software Engineering

Frisco, TX · On-site

Developer III - Software Engineering Location: Frisco TX Duration: 12 Months Job Type: Temporary ... Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop ...

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Databricks Software information

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 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 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.

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 Texas? For Databricks Software jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Texas look for? The top searched job categories for Databricks Software jobs in Texas are:
What cities in Texas are hiring for Databricks Software jobs? Cities in Texas with the most Databricks Software job openings:
Databricks Software jobs near you
Infographic showing various Databricks Software job openings in Texas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution.

Data Engineer (Databricks, Spark, Python)

4i Americas

Irving, TX • Hybrid

$109.90K - $132K/yr

Other

Posted 23 days ago

Job description

Job Title: Data Engineer (Databricks, Spark, Python)

Employment Type: W2 Only

Work Model: Hybrid - 3 Days Onsite / Week

Locations:

  • Irving, TX
  • Tampa, FL
  • Jersey City, NJ
  • Wilmington Delaware

Job Description

We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Apache Spark, and Python to support enterprise-scale data engineering initiatives for Infosys/Citi.

The ideal candidate should have solid experience building scalable data pipelines, working with large datasets, and supporting cloud-based data platforms.

Required Skills
  • 6 to 8 years of overall IT experience in Data Engineering
  • Strong hands-on experience with Databricks

  • Expertise in PySpark

  • Strong programming skills in Python
  • Experience building ETL/ELT pipelines and data transformation workflows
  • Good knowledge of SQL and relational databases
  • Experience working with large-scale structured and unstructured data

  • Exposure to cloud platforms such as AWS

  • Strong problem-solving and debugging skills
  • Excellent communication and stakeholder management skills

Preferred Skills
  • Experience in Banking/Financial domain preferred
  • Knowledge of CI/CD pipelines and version control tools like Git
  • Familiarity with Delta Lake, data warehousing, and orchestration tools

Responsibilities
  • Design, develop, and optimize scalable data pipelines
  • Build and maintain Databricks-based data solutions
  • Develop Spark/PySpark jobs for large-scale data processing
  • Collaborate with cross-functional teams including business analysts, architects, and data scientists
  • Ensure data quality, performance optimization, and production support

Note:

  • W2 candidates only
  • Must be comfortable with 3 days onsite hybrid model
  • Local candidates or candidates willing to relocate preferred

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