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Databricks Data Engineer Jobsexternal in McKinney, TX (NOW HIRING)

Prophecy Technologies

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 ...

Deloitte

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 ...

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 ...

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 · On-site

$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 ...

KPMG

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 ...

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 ...

InterSources Inc

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

Databricks Data Engineer information

See McKinney, TX salary details

$41.3K

$120.4K

$164.7K

How much do databricks data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for 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 a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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 Databricks Data Engineer jobs in McKinney, TX?

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

What job categories do people searching Databricks Data Engineer jobs in McKinney, TX look for?

The top searched job categories for Databricks Data Engineer jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Databricks Data Engineer jobs?

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

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in McKinney, TX as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $120,382 per year, or $57.9 per hour.

DataBricks Data Engineer

Irving, TX • On-site

Prodapt Solutions Private Limited
See more jobs at Prodapt Solutions Private Limitedexternal

$150 - $200/hr

Other

Posted 3 days ago

New

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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