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Entry Level Databricks Data Engineer Jobs in Texas

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

Data Bricks Engineer Location: Plano, TX Job Summary: We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms ...

Elite IT Solutions inc

DataBricks Engineer

Plano, TX · On-site

Data Bricks Engineer Location: Plano, TX Job Summary: We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms ...

1 point system

Databricks Engineer

Austin, TX · On-site

Experience in data warehousing and dimensional data modeling (star/snowflake schemas). Proficiency ... Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional)

Siri InfoSolutions Inc

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer * 2-3 years of hands-on experience in Data Engineering * Strong experience in ... Experience working with Databricks and Delta Lake architecture * Good understanding of SQL ...

Pwc

Data Engineer - Senior Associate

San Antonio, TX · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Austin, TX

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Dallas, TX

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Fort Worth, TX · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Allata

Data Engineer (Databricks) (08.2026)

Dallas, TX · On-site

$113K - $136K/yr

Our teams work at the intersection of strategy, engineering, data, and design, helping clients ... Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Fervo Energy

Data Engineer

Houston, TX

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Aivra Health LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Location: Austin, TX, USA Job Type: Full-Time About the Role We are seeking a Data ... Databricks * AWS * Azure * Kafka Benefits * Health Insurance * PTO * Flexible Schedule * 401(k)

Programmers.io

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

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 ...

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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?

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:
What job categories do people searching Entry Level Databricks Data Engineer jobs in Texas look for? The top searched job categories for Entry Level Databricks Data Engineer jobs in Texas are:
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:
Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, 27% Hybrid, and 27% Remote job distribution.

DataBricks Engineer

VIS IT Solutions Inc

Plano, TX • On-site

Contractor

Posted 21 days ago

Job description

Hi,
 
Please find the job description below
 
Role: Data Bricks Engineer
Location: Plano, TX
 
Job Summary:
 We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms data platforms while ensuring data quality, security, and scalability
 
Key Responsibilities:
 
•     Design, develop, and maintain scalable data pipelines using Databricks Implement and manage Unity Catalog for centralized data governanance
•     Develop and optimize Spark Declarative Pipelines (SDP) and moderatePerform end-to-end data validation, reconciliation, and quality assurance.
•     Lead migration projects involving:
•     PySpark jobs from AWS EMR to Databricks Hive-based ETL workloads to Databricks and Delta Lake.
•     Legacy data platforms to Databricks Lakehouse architecture.
•     Convert and optimize Hive SQL, Spark SQL, and PySpark workloads forImple and automation for validation and PySparkjobs from AWS EMR to Databricks.
•     Hive-based ETL workloads to Databricks and Delta Lake.
•     Legacy data platforms to Databricks Lakehouse architecture.
•     Convert and optimize Hive SQL, Spark SQL, and PySpark workloads for Database Implement data quality frameworks and automation for validation and reconcilation Work closely with architects, business stakeholders, and data consumers to | Optimize Databricks jobs for performance, reliability, and cost efficiency.
•     Manage CI/CD processes and infrastructure automation for Databricks deplo Ensure compliance with enterprise data security, governance.
 
Required Skills:
 
•     Databricks & Data Engineering Strong experience with Databricks Lakehouse Platform.
•     Hands-on experience with Delta Lake, Medallion Architecture, and Databric Expertise in PySpark and Spark SQL.
•     Experience working with large-scale data processing and performance tuning Unity Catalog Strong understanding of: Unity Catalog setup and administration.
•     Strong understanding of Unity Catalog setup and administration Fine-grained access control (RBAC). Data lineage and audit capabilities.
•     Data governance and security implementation.
•     Spark Declarative Pipelines (SDP) Hands-on experience implementing and maintaining SDP pipelines.
•     Knowledge of pipeline orchestration, monitoring, and optimization.
•     Experience building reusable and scalable data transformation framework Data Validation & Quality Experience designing and implementing data validation frameworks.
•     Data reconciliation between source and target systems. Validation of migrated datasets to ensure accuracy and completeness.
•     Experience with data quality monitoring and observability tools.
•     Migration Experience Proven experience in migratingPySparkworkloads from AWS EMR to Databricks.
•     Mive-based ETL jobs to Databricks. Legacy data warehouses and Hadoop ecosystems to Databricks.