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Full Time Databricks Developer Jobs in Texas (NOW HIRING)

INSPYR Solutions

Sr AI Engineer - AI Platform

Dallas, TX · On-site

$54.75 - $70.50/hr

Title: Sr AI Engineer - AI Platform Duration: Full Time Location: Dallas, TX - Hybrid Onsite 4 days ... Foundry, Databricks integrations) • Partner with AI Solutions and Platform teams to enable ...

CGI Inc.

AI Software Engineer

Dallas, TX · On-site

J0426-0680 Employment Type: Full Time Position Description: Position Description We're growing ... Databricks: Hands-on experience with Databricks for collaborative data engineering and machine ...

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109.90K - $132K/yr

Role: Sr. PySpark Data Engineer - Fulltime Location: Irving, TX We are seeking a skilled PySpark ... Experience with cloud platforms (AWS, Azure, or GCP) and services like S3, EMR, Databricks, Glue ...

DEEPREC.AI

Senior Data Engineer

Houston, TX · On-site

$150K - $200K/yr

Senior Data Engineer - HealthTech $150,000 - $200,000 Hybrid - Houston, TX Full time / Permanent A ... Experience in a SaaS or multi-tenant environment Tech Stack Azure Data Factory - Databricks ...

Socotec

Software Engineer

Dallas, TX · On-site

Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ... Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar)

SOCOTEC

Software Engineer

Dallas, TX · On-site

Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ... Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar)

Applied Materials

Business Intelligence Analyst

Austin, TX · On-site

$122K - $168K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Databricks-centric data work: Use Databricks (SQL/warehouses, curated tables/views) to enable ...

Amat

Business Intelligence Analyst

Austin, TX · On-site +1

$122K - $168K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Databricks-centric data work: Use Databricks (SQL/warehouses, curated tables/views) to enable ...

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Full Time Databricks Developer information

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

To thrive as a Full Time Databricks Developer, you need expertise in data engineering, Spark programming, and proficiency in languages like Python or Scala, often backed by a degree in computer science or related fields. Familiarity with Databricks platform, Azure or AWS cloud services, and certifications such as Databricks Certified Data Engineer are commonly expected. Strong problem-solving abilities, attention to detail, and effective collaboration skills help you stand out in this role. These skills ensure efficient data processing, reliable pipeline development, and seamless teamwork for delivering scalable analytics solutions.

What are the typical collaboration expectations for a Full Time Databricks Developer within a data engineering team?

As a Full Time Databricks Developer, you’ll frequently collaborate with data engineers, data scientists, and business analysts to design, build, and optimize data pipelines and workflows. Expect to participate in agile ceremonies, code reviews, and cross-functional meetings to ensure alignment on project goals and data requirements. Communication is key, as you’ll often translate technical concepts for non-technical stakeholders and work together to resolve data quality, performance, or integration challenges. This collaborative environment not only fosters innovation but also provides opportunities to broaden your skills and contribute to impactful business solutions.

What are Full Time Databricks Developers?

Full Time Databricks Developers are professionals who specialize in using the Databricks platform to process, analyze, and manage big data. They build and maintain data pipelines, develop ETL processes, and work with tools such as Apache Spark, Python, and SQL to turn raw data into actionable insights. These developers often collaborate with data scientists, engineers, and business stakeholders to implement scalable data solutions. Working full time means they are dedicated employees, typically with responsibilities that include troubleshooting data issues, optimizing performance, and ensuring data security within the Databricks environment.

What is the difference between Full Time Databricks Developer vs Data Engineer?

AspectFull Time Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformBuilding, maintaining, and optimizing data infrastructure and pipelines across various platforms
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data architecture
Work EnvironmentCollaborates closely with data scientists and analysts within cloud-based environmentsWorks with data infrastructure teams, cloud services, and data storage systems

While both roles require expertise in Spark, SQL, and cloud platforms, a Full Time Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas a Data Engineer has a broader scope, managing overall data infrastructure and pipelines across multiple platforms.

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 are popular job titles related to Full Time Databricks Developer jobs in Texas? For Full Time Databricks Developer jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Full Time Databricks Developer jobs? Cities in Texas with the most Full Time Databricks Developer job openings:
Full Time Databricks Developer jobs near you

Lead - AI Risk, Governance & Responsible AI - AIRLHV

NavitasPartners

Austin, TX • On-site, Remote

$102.60K - $133.30K/yr

Full-time

Posted 3 days ago

Job description

Lead – 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.