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Senior Databricks Data Engineer Jobs in Denton, TX

Data Engineer SQL/Databricks

Irving, TX · On-site

$109K - $132K/yr

Work within Databricks to prepare and organize data for AI and advanced analytics use cases. * Utilize Python to support data engineering, automation, and data processing tasks. * Collaborate with ...

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

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 ...

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;

What you need to have to be considered * 4-8 years of hands‑on experience in data engineering, data integration, or related technology roles. * Strong experience with Databricks, Apache Spark ...

New

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 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 ...

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 ...

Posted today

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 ...

Senior Data Engineer

Dallas, TX · Hybrid

$104K - $142K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

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

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 ...

Senior Data Engineer - INDIA

Prosper, TX · On-site

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local ... Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ...

Showing results 21-40

Senior Databricks Data Engineer information

See Denton, TX salary details

$55.8K

$118.7K

$172.1K

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

As of Aug 21, 2026, the average yearly pay for senior databricks data engineer in Denton, TX is $118,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $134,500.00 per year, depending on experience, location, and employer.

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.

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.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

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

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

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

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

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

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

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

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

Infographic showing various Senior Databricks Data Engineer job openings in Denton, TX as of June 2026, with employment types broken down into 68% Full Time, 30% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,661 per year, or $57 per hour.

Data Engineer SQL/Databricks

Talent Groups

Irving, TX • On-site

$109K - $132K/yr

Other

Re-posted yesterday


Job description

Hybrid Details: 3 days/week onsite – remote Mondays and Fridays
Duration: 12 months to start
Job Description:
We are seeking an analytical and highly skilled Data Engineer to join an exciting new AI-focused initiative. This is not a traditional data engineering role—we''re looking for someone who enjoys solving complex data problems, understands how data fits together, and can think critically about building high-quality data foundations for emerging AI solutions.
 
The ideal candidate combines strong technical expertise with an analytical mindset. They are naturally curious, thoughtful in their approach to problem solving, and able to understand relationships across large datasets to design scalable, well-structured data models. While experience with Python and Databricks is important, success in this role will be driven by exceptional SQL skills, data modeling expertise, and the ability to analyze data with a strategic perspective.
 
This is a unique opportunity to join a brand-new project from the ground up and help build the data foundation that will support AI-driven capabilities.
 
Key Responsibilities

  • Design, build, and optimize scalable data models to support AI and analytics initiatives.
  • Analyze complex datasets to understand relationships, dependencies, and business context.
  • Develop and maintain efficient SQL queries, transformations, and data pipelines.
  • Work within Databricks to prepare and organize data for AI and advanced analytics use cases.
  • Utilize Python to support data engineering, automation, and data processing tasks.
  • Collaborate with business and technical stakeholders to translate data requirements into scalable solutions.
  • Ensure data quality, integrity, and consistency across multiple data sources.
  • Apply strong analytical thinking to solve complex data challenges and improve overall data architecture.

Required Qualifications

  • Strong experience with SQL, including complex query development and performance optimization.
  • Solid Python programming skills for data engineering and automation.
  • Hands-on experience with Databricks.
  • Deep understanding of data modeling concepts, relational databases, and how data structures support reporting and AI initiatives.
  • Excellent analytical and problem-solving skills with the ability to understand complex data relationships.
  • Experience designing scalable, maintainable data solutions.
  • Strong communication skills and the ability to work collaboratively within a cross-functional team.

Talent Groups is an equal opportunity employer that values diversity and inclusion. All qualified applicants will receive consideration without regard to protected characteristics. The listed compensation range represents a good-faith estimate and may vary based on experience, skills, education, certifications, market conditions, client budget, and location, in accordance with applicable pay transparency laws.