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Remote Databricks Jobs in Texas (NOW HIRING)

Lead Agentic AI Engineer

Austin, TX · Remote

$98K - $129K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the ... Integrate AI solutions with enterprise data platforms (SQL, Databricks) * Provide technical ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

REMOTE - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TEXAS WILL BE CONSIDERED*** No calls, no ... As we implement Databricks, this role will focus on modernizing our unified data platform to enable ...

Data Bricks Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

... remote backends). • Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization. • Experience configuring high ...

Data Bricks Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Experience creating reusable Terraform modules and implementing infrastructure-as-code best practices (module structure, state management, remote backends). Proven experience working on Databricks ...

Data Bricks Data Engineer

Richardson, TX · Remote

$104K - $124K/yr

... remote backends). • Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization. • Experience configuring high ...

Data Bricks Data Engineer

Plano, TX · Remote

$110K - $132K/yr

... remote backends). • Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization. • Experience configuring high ...

Data Bricks Data Engineer

Plano, TX · Remote

$120K - $150K/yr

Experience creating reusable Terraform modules and implementing infrastructure-as-code best practices (module structure, state management, remote backends). * Proven experience working on Databricks ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... remote candidates in Eastern or Central time zones. What You'll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Senior Data Engineer

Dallas, TX · On-site

$69K - $99K/yr

Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python ... United States remote opportunity * Video cameras must be used during all interviews, as well as ...

Senior Data Engineer

Austin, TX · On-site

$69K - $99K/yr

Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python ... United States remote opportunity * Video cameras must be used during all interviews, as well as ...

Lead Agentic AI Engineer

Austin, TX · Remote

$98K - $129K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the ... Integrate AI solutions with enterprise data platforms (SQL, Databricks) * Provide technical ...

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Remote Databricks information

What are the key skills and qualifications needed to thrive as a Remote Databricks Engineer, and why are they important?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What are the most commonly searched types of Databricks jobs in Texas? The most popular types of Databricks jobs in Texas are:
What cities in Texas are hiring for Remote Databricks jobs? Cities in Texas with the most Remote Databricks job openings:
Infographic showing various Remote Databricks job openings in Texas as of June 2026, with employment types broken down into 53% Full Time, 32% Part Time, 3% Temporary, and 12% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Senior Data Engineer Remote

Vytwo

Prosper, TX • On-site

$97K - $131K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Role: Senior Data Engineer Remote Work

Must be a US Citizen & have a USA Passport

Primary Responsibilities:

Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.

Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency

Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration

Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns

Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring

Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies

Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets

Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions

Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability

Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management

Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures

Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

7+ years of experience in data engineering, software engineering, or similar disciplines

Hands-on experience with Databricks or Snowflake

Experience with orchestration tools such as Apache Airflow

Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)

Advanced SQL skills and experience with OLTP and OLAP data modeling

Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns

Familiarity with data governance tools, especially Microsoft Purview

Solid programming expertise in Python, PySpark, or similar languages

If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment

Must be a US Citizen

Preferred Qualifications:

Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data

Experience with containerization (Docker, Kubernetes) for data workloads

Experience supporting machine learning workflows or analytical data science pipelines

Knowledge of distributed computing concepts and performance tuning

This is a remote position.