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Trainee Databricks Data Engineer Jobs in McKinney, TX

Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role is for a skilled Data Engineer with extensive hands-on experience in Databricks, focusing on building and optimizing scalable data pipelines. The successful candidate will leverage advanced ...

Sr Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

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 Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement ... engineering discipline, or equivalent · 9-12 years of experience managing SQL Queries, Data Lake ...

Manager, Data Engineer - Databricks

Dallas, TX · On-site

$113K - $136K/yr

KPMG is currently seeking a Manager, Data Engineer - Databricks for our Consulting practice. Responsibilities: * Assist with technical design and development activities and lead a small workstream ...

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 ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

InterSources Inc is a company seeking a Databricks Lead Engineer responsible for architecting and implementing advanced data solutions on the Databricks platform. The role involves leading a team of ...

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Trainee Databricks Data Engineer information

See McKinney, TX salary details

$41.3K

$120.4K

$164.7K

How much do trainee databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for trainee databricks data engineer in McKinney, TX is $120,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $127,600.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in McKinney, TX?

The most popular types of Databricks Data Engineer jobs in McKinney, TX are:

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For Trainee Databricks Data Engineer jobs in McKinney, TX, the most frequently searched job titles are:

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Cities near McKinney, TX with the most Trainee Databricks Data Engineer job openings:

$140 - $190/hr

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Posted 22 hours ago

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Job description

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A Great Place To Work Certified company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

We are seeking an experienced Azure Databricks Engineer to join our team in Dallas, TX. The ideal candidate has strong hands-on experience in designing and building scalable data engineering solutions using Azure Databricks, PySpark, Python, SQL, and Azure Data Services including leading the modernization and migration of existing Python object-oriented applications into scalable PySpark and Spark SQL data-processing solutions on Azure Databricks.

Responsibilities
  • Design, develop, and implement scalable data pipelines using Azure Databricks.
  • Build and optimize ETL/ELT pipelines using PySpark, Python, and SQL.
  • Develop data solutions using the Medallion Architecture (Bronze, Silver, and Gold layers).
  • Work with Delta Lake, Delta tables, and advanced Databricks optimization techniques.
  • Integrate Databricks with Azure services such as ADLS Gen2, Azure Data Factory, Azure Synapse, and Azure Key Vault.
  • Develop and manage Databricks Workflows, Jobs, and Notebooks.
  • Implement data quality, monitoring, error handling, and performance optimization.
  • Collaborate with Data Architects, Data Engineers, Data Scientists, and business stakeholders.
  • Establish best practices for CI/CD, Git/version control, code reviews, and automated deployments.
  • Lead technical discussions and provide guidance to junior engineers.
  • Analyze existing Python OOP applications and redesign single-node processing logic for distributed Spark execution.
  • Design, develop, and deploy enterprise-scale data pipelines on Azure Databricks; build reusable PySpark frameworks and utility modules.
  • Implement Delta Lake solutions using the Bronze, Silver, Gold architecture.
  • Build robust ETL/ELT pipelines with Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.
  • Implement data quality, reconciliation, validation, and monitoring frameworks.
  • Optimize Spark jobs using partitioning, bucketing, caching, broadcast joins, Adaptive Query Execution, and Delta optimization.
Requirements
  • 10+ years of overall Data Engineering experience, including designing and implementing ETL/ELT pipelines with Azure Data Factory and other Azure services.
  • Bachelor’s degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
  • Strong hands-on experience with Azure Databricks; 4+ years of experience across Azure services and Databricks (ADLS, ADF, Azure DevOps, etc.).
  • 7+ years of Python development experience, with the ability to design and build reusable libraries.
  • 4+ years of experience with Snowflake or SQL (No-SQL experience is a plus).
  • Expert-level knowledge of PySpark and Spark SQL.
  • Strong programming experience in Python and SQL.
  • Experience with Delta Lake and Lakehouse architecture.
  • Strong experience with Azure Data Lake Storage (ADLS Gen2).
  • Experience with Azure Data Factory (ADF) and other Azure data services.
  • Strong understanding of ETL/ELT, data modeling, and large-scale data pipelines.
  • Experience with performance tuning and optimization in Databricks/Spark.
  • Experience with Git, CI/CD, and DevOps practices.
Preferred Skills
  • Databricks certifications.
  • Experience with Unity Catalog and Databricks governance/security.
  • Experience with Terraform or Infrastructure as Code.
  • Knowledge of Azure DevOps.
  • Experience designing APIs and integrating with React JS within a cloud platform
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