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Entry Level Databricks Jobs in Dallas, TX (NOW HIRING)

Pwc

Data Validation Risk - Senior Associate

Dallas, TX · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

IBM

Data Engineer Intern 2027

Dallas, TX

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

New

IBM

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level positions. You'll receive a status update email for each application, so be sure to ... SnowProCore, Databricks Data Engineer Associate, Google Associate CloudEngineer or Data Engineer ...

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

New

All JobsDatabricks JobsEntry Level Databricks JobsEntry Level Databricks Jobs in Dallas, TX

Entry Level Databricks information

See Dallas, TX salary details

$40.1K

$85.5K

$141K

How much do entry level databricks jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level databricks in Dallas, TX is $85,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $102,400.00 per year, depending on experience, location, and employer.

What is an entry level Databricks job?

Entry level Databricks jobs are positions for individuals who are new to working with Databricks, a cloud-based platform for big data analytics and machine learning. These roles often involve assisting with data pipeline development, managing datasets, and supporting data engineering or data analytics projects under supervision. Typical responsibilities include writing basic code in Python or SQL, helping to prepare data for analysis, and learning to use Databricks tools and features. These jobs are a great starting point for those interested in data engineering or data science careers and typically require foundational knowledge in programming and data concepts.

What skills and qualifications are needed to thrive as an entry level Databricks professional?

To thrive as an Entry Level Databricks professional, you need a solid understanding of data engineering or data analytics, proficiency in Python or Scala, and a basic grasp of distributed computing concepts. Familiarity with Databricks platform tools, Apache Spark, and cloud services like AWS or Azure is highly valued, and completing Databricks certification courses can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in collaborative, data-driven environments. These skills and qualities are crucial for efficiently managing big data workflows, troubleshooting issues, and contributing to team success in data analytics projects.

What are common challenges faced by entry level Databricks professionals, and how can they overcome them?

Entry-level Databricks professionals often encounter challenges such as understanding distributed computing concepts, efficiently writing Spark code, and managing data pipelines in a collaborative environment. To overcome these hurdles, it's helpful to engage in hands-on practice with Databricks notebooks, participate in team code reviews, and leverage Databricks' comprehensive documentation and community forums. Working closely with more experienced data engineers or data scientists can also accelerate learning and help new team members adapt to the platform's best practices.

How to trigger a job in Entry Level Databricks?

To trigger a job in Entry Level Databricks, you can manually start it through the Databricks workspace by navigating to the Jobs tab and clicking the 'Run Now' button. You can also schedule jobs using the Databricks job scheduler or trigger them via API calls with appropriate authentication tokens. Familiarity with Spark, notebooks, and job configurations is helpful for managing and automating job executions.

What are the most commonly searched types of Databricks jobs in Dallas, TX?

The most popular types of Databricks jobs in Dallas, TX are:

What are popular job titles related to Entry Level Databricks jobs in Dallas, TX?

For Entry Level Databricks jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks jobs in Dallas, TX look for?

The top searched job categories for Entry Level Databricks jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Databricks jobs?

Cities near Dallas, TX with the most Entry Level Databricks job openings:

Entry Level Databricks jobs near you
Infographic showing various Entry Level Databricks job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,451 per year, or $41.1 per hour.

Machine Learning Engineer Fraud Detection

Compugra Systems

Dallas, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Hiring: Machine Learning Engineer Fraud Detection

Location: Dallas, TX 100% Onsite
Contract: 1 Year
Experience: 8 12 Years

We are looking for a strong Machine Learning Engineer with experience building and supporting production-grade fraud detection solutions.

Key Skills

Python & Machine Learning
Real-Time / Low-Latency Inference
REST APIs & Microservices
Google Cloud Platform & Databricks
Neo4j / Graph Databases
Feature Stores & Feature Engineering
Data Pipelines & Data Engineering
MLOps, Monitoring & Production Support
Agentic AI Architecture Good to Have

Role Highlights

Build and deploy production fraud detection services
Develop low-latency ML inference solutions
Design ML feature engineering pipelines
Integrate ML models with APIs and microservices
Support graph-based fraud detection using Neo4j
Improve performance, scalability and reliability
Work with MLOps teams on releases and production support

Interested candidates can share their updated resumes at:

#Hiring #MachineLearning #MachineLearningEngineer #MLEngineer #FraudDetection #Python #Google Cloud Platform #Databricks #Neo4j #MLOps #Microservices #DallasJobs #TexasJobs #ContractJobs #TechJobs

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