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

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role Summary We are seeking a high-performing Data Engineer to design and implement a real-time ... Own the deployment lifecycle using Databricks Asset Bundles (DABs) and CI/CD pipelines (GitHub ...

Senior Associate, Data Engineer - Databricks

Dallas, TX · On-site

$104K - $142K/yr

Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified * Bachelor's degree in ...

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Subject Matter Expert (SME) level experience in Cloud Engineering, specifically with Databricks, Azure Data Factory, Data Lake, Delta Lake, and UnityCatalog. * Proficiency in Python, Spark, and ...

... Databricks for data processing, transformation, and reporting Data Engineering & Integration ... Collaborate with data scientists, analysts, and other stakeholders to understand business ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Senior Data Engineer (Databricks/Snowflake)

Irving, TX · On-site

$109K - $132K/yr

... engineering best practices * Experience delivering production-grade applications and data products Platforms & Cloud * Experience with Databricks and/or Snowflake * Familiarity with Kafka, Spark, CDC ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/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 ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Databricks, etc.) and traditional data warehouse tools Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and ...

Databricks and AWS developer/architect certifications a big plus Technical Skills: * ETL Processing/data architecture or equivalent. * Big data technologies on AWS/Azure/GCP * Apache Spark/DataBricks ...

Data Engineer

Dallas, TX

$110K - $132K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Senior Data Engineer

Plano, TX · On-site

$130K - $135K/yr

Job Title - Senior Data Engineer w/d Databricks and Python Experience (5) Location: Plano, TX and Wilmington, DE - 5 days onsite role, no hybrid Salary: $130-135K plus benefits We are looking for a ...

Showing results 41-60

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 8, 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:

Infographic showing various Databricks Data Engineer job openings in McKinney, TX as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $120,382 per year, or $57.9 per hour.

Azure Databricks Engineer

Veracity Software Pvt. Ltd.

Frisco, TX • On-site

$51.75 - $64.25/hr

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking an Azure Databricks Engineer to provide expertise and ownership of Azure Databricks development tasks within a scrum team. The role involves assisting with deployments, configuration, and ensuring security and resiliency of database technologies.
Responsibilities:
• Understand all concepts covered in Azure Data Engineer Associate, Azure Database Administrator Associate, Microsoft Azure Data Fundamentals and Power Bl Data Analyst Associate certifications.
• Provide expertise and ownership of Azure Databricks development tasks within the scrum team. Interacts effectively with clients and leadership, and can adapt communication for the appropriate audience.
• Reads and comprehends software requirements, assisting with development of agile user stores and tasks. Assists with troubleshooting configuration and performance issues.
• Assists with Azure Databricks deployments, testing, configuration, and installation.
• Ensures security is a priority and understands the various areas where security vulnerabilities arise with database technologies.
• Ensures database resiliency, and disaster recovery capabilities.
• Comprehensive understanding of backups, restores, redundancy, geo-replication and Azure storage concepts. Documentation and Knowledge Sharing, creates detailed documentation for the database. Facilitates knowledge sharing within the team for effective collaboration.
Qualifications:
Required:
• 5+ years proven experience working with Azure Databricks Analytics database capabilities, specifically Azure Databricks and other relational database technologies supported in Azure.
• 5+ years proven experience with Azure Data Lake Storage Gen 2, Azure Databricks, Azure Data Explorer, Azure Event Hubs, Spark Pools, Python, PySpark, SOL, Azure Landing Zone, Azure Networking Services, Microsoft EntralD.
• 5+ years proven experience with Azure geo-redundancy, HA/failover technologies.
• 5+ years proven experience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Data Lakehouse.
• 5+ years proven experience with Infrastructure as Code (IaC) tools such as Terraform.
• 5+ years proven experience with programming languages such as Python, PySpark and data constructs such as JSON or XML.
• Understanding of implementing Medallion Architecture using Azure Services.
• Strong experience with relational and/or dimensional data modeling.
• Experience in large scale cloud data migrations using Databricks, Python, Spark, SOL.
• Understanding of Azure DevOps tools in an Azure production setting.
• Strong experience with Azure Data Studio, Visual Studio database management/projects/design capabilities, Azure CLI, and Powershell.
• Strong and current familiarity with Azure platforms and services, including Azure App Services, Azure API Management, Azure Monitor, Azure Application Insights, Azure SOL, etc.
• Experience with Cl/CD pipelines and deployment automation using tools like Azure DevOps.
• Experience with Agile methodologies.
• Strong understanding of security best practices for Azure database deployments, including, access controls, IAM, data encryption (TDE), Azure key vaults and masking.
• Certifications: Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Data Fundamentals, Power BI Data Analyst Associate.
Preferred:
• Awareness of FedRAMP, FISMA, and/or Zero Trust Architecture strongly desired.
• Experience with SQL Server versions 2005 - 2022 is a plus.
• Experience with Oracle or Microsoft SQL Server, either in Azure or on-prem, is a plus.
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.