ZipRecruiter

Log In

2

Entry Level Databricks Data Engineer Jobs in Houston, TX

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

... Python, Databricks, GIT, Azure, SQL. • Integrating models into production on a weekly or even ... engineering practices, technologies and continuously improving our Agile practices Special ...

next page

Showing results 1-20

People also search for

All JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Houston, TX

Entry Level Databricks Data Engineer information

See Houston, TX salary details

$28.6K

$66.2K

$112.7K

How much do entry level databricks data engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for entry level databricks data engineer in Houston, TX is $66,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $75,000.00 per year, depending on experience, location, and employer.

What is an Entry Level Databricks Data Engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Data Engineer, and why are they important?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry-level Databricks Data Engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.
What are the most commonly searched types of Databricks Data Engineer jobs in Houston, TX? The most popular types of Databricks Data Engineer jobs in Houston, TX are:
What are popular job titles related to Entry Level Databricks Data Engineer jobs in Houston, TX? For Entry Level Databricks Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Data Engineer jobs in Houston, TX look for? The top searched job categories for Entry Level Databricks Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Databricks Data Engineer jobs? Cities near Houston, TX with the most Entry Level Databricks Data Engineer job openings:
Entry Level Databricks Data Engineer jobs near you
ML / AI Engineer - MLOps & GenAI Platforms - AIRLHV

ML / AI Engineer - MLOps & GenAI Platforms - AIRLHV

Navitas Healthcare LLC

Houston, TX • Hybrid

Other

Posted 12 days ago

Job description

ML / AI Engineer - MLOps & GenAI Platforms
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are seeking an ML/AI Engineer to contribute to large-scale AI and data transformation programs. This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud environments.
Key Responsibilities:
  • Design and deploy scalable ML and GenAI solutions
  • Build and manage end-to-end MLOps pipelines
  • Collaborate with data engineers, architects, and business teams
  • Ensure model performance, governance, and lifecycle management
Required Skills:
  • Strong experience in ML/AI engineering and MLOps practices
  • Proficiency in Python and frameworks such as PyTorch
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Hands-on experience with model deployment and monitoring
Nice to Have / Coverage:
  • Experience with LangChain and GenAI/agentic AI implementations
  • Exposure to Databricks, Snowflake, Azure Synapse, or BigQuery
  • Familiarity with AI governance, Responsible AI, and compliance frameworks
  • Experience working with cloud-native data platforms and architectures

For more details reach at resumes@navitassols.com.

Apply