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Entry Level Databricks Data Engineer Jobs in Texas

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Utilize technologies such as Python, SQL, Snowflake SQL, and Databricks for data engineering and analysis. * Develop and maintain comprehensive documentation, including: * Architectural and technical ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Utilize technologies such as Python, SQL, Snowflake SQL, and Databricks for data engineering and analysis. Develop and maintain comprehensive documentation, including: Architectural and technical ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Job Title • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks and Delta ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

JD: • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks and Delta Lake ...

Azure Databricks Certification (preferred) * 2+ years of software solution development using agile and DevOps practices (preferred) * 2+ years of data analytics experience using SQL (preferred) * 2+ ...

Data Bricks Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

... Databricks ETL. • Ensure and lead the efforts to review legacy Data Stage legacy code and ... • Strong programming skills in Python and PySpark. • Advanced proficiency writing SQL for ...

Data Bricks Data Engineer

Richardson, TX · Remote

$104K - $124K/yr

... Databricks ETL. • Ensure and lead the efforts to review legacy Data Stage legacy code and ... • Strong programming skills in Python and PySpark. • Advanced proficiency writing SQL for ...

Azure Databricks Certification (preferred) * 2+ years of software solution development using agile and DevOps practices (preferred) * 2+ years of data analytics experience using SQL (preferred) * 2+ ...

Data Bricks Data Engineer

Plano, TX · Remote

$110K - $132K/yr

... Databricks ETL. • Ensure and lead the efforts to review legacy Data Stage legacy code and ... • Strong programming skills in Python and PySpark. • Advanced proficiency writing SQL for ...

This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ...

Palantir Data Engineer

Dallas, TX · Hybrid

$113K - $136K/yr

Palantir Data Engineer Dallas, TX (Day 1 Onsite) Location: 211 S Akard St, Dallas, TX 75202 (Day 1 ... SQL, Snowflake, Python, Databricks, Azure * Palantir is a bonus

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Entry Level Databricks Data Engineer information

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 Texas? The most popular types of Databricks Data Engineer jobs in Texas are:
What are popular job titles related to Entry Level Databricks Data Engineer jobs in Texas? For Entry Level Databricks Data Engineer jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Entry Level Databricks Data Engineer jobs? Cities in Texas with the most Entry Level Databricks Data Engineer job openings:

$105K - $126K/yr

Full-time

Posted 24 days ago


Job description

Job Title: Associate Data Engineer - Azure Stac
Location - Dallas, TX ( DAY 1 onsite ) Pefer local candidates. Note - Candidate has to take in person client interview.
Summary:
Support the development of data engineering solutions on Azure with foundational skills in SQL and cloud platforms. Ideal for candidates ready to grow into a specialist role.
Responsibilities:
  • Assist in building data pipelines using Azure services.
  • Write and optimize SQL queries for analytics.
  • Support CI/CD processes and cloud infrastructure tasks.
  • Contribute to data governance and compliance efforts.

Required Experience:
  • 2-3 years in data engineering or analytics using SQL.
  • Exposure to Agile and DevOps practices.

Required Skills:
  • Basic experience with Azure Data Factory or Azure Databricks.
  • SQL, Python.
  • PySpark
  • Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub).
  • Data Warehousing Concepts

Preferred Skills:
  • Exposure to Spark and Azure Data Lake.
  • Experience with Power BI or Tableau.
  • Awareness of data governance tools (e.g., Informatica Axon, BigID).

Education: Bachelor's degree or equivalent experience in a technical field.