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Senior Databricks Data Engineer Jobs in Dallas, TX

Data Engineer

Dallas, TX

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Fort Worth, TX · On-site

$109K - $131K/yr

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite) Description: Minimum Qualifications- Education ... Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and ...

Sr. Data Engineer

Richardson, TX · On-site +1

$104K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity Dynatron is seeking a highly skilled Senior Data Engineer to join our growing data ... Build and maintain complex data pipelines using AWS Glue, Step Functions, or Databricks Workflows.

Senior Data Engineer

Dallas, TX

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Senior Data Engineer- US Citizen

Prosper, TX · On-site

$97K - $131K/yr

Role: Senior Data Engineer- US Citizen Location: Minneapolis, MN Rate: Depends on experience ... Build and optimize data workflows on Databricks , including Delta Lake, notebooks, and scheduled ...

Senior Data Engineer- US Citizen

Prosper, TX · On-site +1

$97K - $131K/yr

Role: Senior Data Engineer- US Citizen Location: Minneapolis, MN Rate: Depends on experience ... Build and optimize data workflows on Databricks , including Delta Lake, notebooks, and scheduled ...

Senior Data Engineer on-site)

Plano, TX · On-site

$101K - $137K/yr

Ziosk is looking for a highly skilled and experienced Senior Data Engineer with deep expertise in Azure Databricks to contribute to the design, development, and optimization of our modern data ...

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Databricks * Amazon Redshift * Microsoft Fabric * Collaborate with Cloud Architects and Platform Engineers on cloud-native solutions. * Support multi-cloud data engineering initiatives across AWS ...

Senior Data Engineer on-site)

Dallas, TX · On-site

$104K - $142K/yr

They are seeking a highly skilled Senior Data Engineer with expertise in Azure Databricks to design and optimize their modern data platform, focusing on building scalable ETL pipelines and ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

Responsibilities : • Execute assigned components of solution designs handed off by Senior and ... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Databricks * Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain ...

Showing results 21-40

Senior Databricks Data Engineer information

See Dallas, TX salary details

$58.9K

$125.2K

$181.5K

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

As of Aug 14, 2026, the average yearly pay for senior databricks data engineer in Dallas, TX is $125,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $142,000.00 per year, depending on experience, location, and employer.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

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

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

What are popular job titles related to Senior Databricks Data Engineer jobs in Dallas, TX?

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

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

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

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

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

Infographic showing various Senior Databricks Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,194 per year, or $60.2 per hour.

Data Engineer SQL Spark PySpark ADF Databricks

Tech Pro Inc.

Irving, TX • On-site

$109K - $132K/yr

Other

Posted 15 days ago


Job description


Microsoft SQL Server SQL, Azure SQL, Azure DataBricks SQL Administrator "
Location - Irving, TX, Hybrid 3 days Onsite
Job Summary
We are seeking a highly skilled Senior Database Developer with deep expertise in SQL Server and Azure SQL and hands-on experience with Databricks to design, develop, optimize, and maintain scalable data solutions. The ideal candidate will play a key role in building performant data models, supporting analytics and reporting needs, and collaborating with data engineers, analysts, and application teams in a cloud-based environment.
Key Responsibilities Database Development & Optimization
* Design, develop, and maintain complex SQL Server and Azure SQL databases.
* Write and optimize advanced T-SQL queries, stored procedures, functions, and views.
* Perform query tuning, indexing strategies, and performance optimization for large-scale datasets.
* Implement best practices for database security, data integrity, and reliability. Cloud & Data Platform
* Develop and manage data solutions in Azure SQL Database.
* Work with Databricks (Apache Spark) to support data transformations, analytics, and large-scale data processing.
* Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark/SQL where applicable.
* Support cloud-based data architectures and hybrid data environments. Data Modeling & Warehousing
* Design and maintain relational and dimensional data models.
* Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.
* Support ETL/ELT processes and collaborate with data engineering teams. Collaboration & Leadership
* Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.
* Provide guidance and mentoring to junior developers.
* Participate in code reviews and enforce database development standards.
* Troubleshoot production issues and provide root cause analysis. ______________
Required Qualifications
* 10+ years of experience as a Database Developer or similar role.
* Strong expertise in SQL Server and Azure SQL.
* Advanced proficiency in T-SQL, including performance tuning and query optimization.
* Hands-on experience with Databricks and Apache Spark.
* Solid understanding of data warehousing concepts, dimensional modeling, and SCD.
* Experience working in Azure cloud environments.
* Strong analytical, problem-solving, and communication skills. "
Skills
Data Engineering, SQL, Spark, PySpark, ADF, Databricks

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