ZipRecruiter

Log In

1

Trainee Databricks Data Engineer Jobs in McKinney, TX

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 ...

GEI Consultants

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 ...

GEI Consultants

Data Engineer

Dallas, TX

$90K - $150K/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 ...

Artius Solutions

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 ...

talentmovers inc

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 ...

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 ...

Compunnel

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

JOB SUMMARY Data Engineer - MarTech Retail Media Network Overview Client is looking for a Data ... Hands-on experience with Databricks/Spark, data lake/warehouse design, and pipeline orchestration.

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 ...

CEDENT

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in McKinney, TX

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 Aug 10, 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:
What are popular job titles related to Trainee Databricks Data Engineer jobs in McKinney, TX? For Trainee Databricks Data Engineer jobs in McKinney, TX, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in McKinney, TX look for? The top searched job categories for Trainee Databricks Data Engineer jobs in McKinney, TX are:
What cities near McKinney, TX are hiring for Trainee Databricks Data Engineer jobs? Cities near McKinney, TX with the most Trainee Databricks Data Engineer job openings:
Trainee Databricks Data Engineer jobs near you

DataBricks Engineer

VIS IT Solutions Inc

Plano, TX • On-site

Contractor

Posted 20 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.