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Remote Databricks Developer Jobs in Texas (NOW HIRING)

Remote (EST Work Hours) Duration: 12 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C ... Databricks exposure. * Experience with data visualization libraries such as D3.js, Recharts, or ...

Houston (Preferred), Remote (US) is also fine * Seeking a Platform Engineer with strong Python ... Databricks/Spark experience. * Good understanding and use of RDBMS-related technologies and ...

Data Engineer

Dallas, TX ยท On-site +1

$113K - $136K/yr

... Databricks, BigQuery, etc.) * Hands-on experience with AWS and cloud-based data services, along ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

Cloud Support Engineer - Security

Dallas, TX ยท Remote

$104K - $199K/yr

Experience securing Databricks and data platforms (workspace access controls, secret scopes ... LOCATION: This is a remote role. This job posting is expected to close on June 8th, 2026 ...

Data Engineer with AI Skillsets

Plano, TX ยท On-site +1

$110K - $132K/yr

... DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and ... Work with Databricks , Spark , and other big data technologies to support large-scale data ...

Senior Data Engineer

Dallas, TX ยท Remote

$105K - $143K/yr

Remote Duration: 6 Months Contract to Hire (Quarterly Onsite for a few days in Dallas TX) About ... Spark, Databricks or other frameworks. Prior experience in building data pipelines that are ...

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Remote Databricks Developer information

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

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are the most commonly searched types of Databricks Developer jobs in Texas? The most popular types of Databricks Developer jobs in Texas are:
What job categories do people searching Remote Databricks Developer jobs in Texas look for? The top searched job categories for Remote Databricks Developer jobs in Texas are:
What cities in Texas are hiring for Remote Databricks Developer jobs? Cities in Texas with the most Remote Databricks Developer job openings:
Infographic showing various Remote Databricks Developer job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Lead - AI Risk, Governance & Responsible AI - AIRLHV

NavitasPartners

Houston, TX โ€ข On-site, Remote

$98K - $128K/yr

Full-time

Posted 15 days ago


Job description

Lead โ€“ AI Risk, Governance & Responsible AI

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring a Lead for AI Risk & Governance to ensure responsible deployment of AI and GenAI systems across enterprise platforms.

Key Responsibilities:

  • Develop and enforce AI governance policies and standards
  • Manage AI risk, bias detection, and model validation processes
  • Work closely with ML engineers and data teams for compliance integration
  • Ensure enterprise-wide adherence to Responsible AI principles

Required Skills:

  • Proven experience in AI governance, risk management, or compliance
  • Strong understanding of cloud platforms (AWS, Azure, GCP)
  • Hands-on experience with AI/ML lifecycle governance

Nice to Have / Coverage:

  • Data Engineering platforms: Databricks, Snowflake, Synapse, BigQuery
  • ML/AI Engineering: Python, PyTorch, MLOps frameworks
  • GenAI: Experience governing LLMs, LangChain, agent-based AI
  • Experience working with cloud/data platform architects

For more details reach at resumes@navitassols.com.