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Senior Databricks Data Engineer Jobs in Grand Prairie, TX

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 (Databricks/Snowflake)

Irving, TX · On-site

$109K - $132K/yr

We're looking for a Senior Data Engineer to design, build, and support scalable data engineering ... Experience with Databricks and/or Snowflake * Familiarity with Kafka, Spark, CDC frameworks, or ...

New

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 ...

"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 Azure Data Engineer

Irving, TX · On-site

$101K - $138K/yr

Job Title: Senior Azure Data Engineer Location: Irving, TX OR Chicago, IL (Hybrid 3 days onsite ... Build and optimize data solutions using Azure Data Factory, Azure Databricks, Azure SQL, 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

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 ...

Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Job Overview: * Data Engineering Skilled in building ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Data Engineer ... architectures on Databricks, Snowflake, AWS, or Azure. Required Skills: Minimum 5+ years of ...

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 ...

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Role: Sr. PySpark Data Engineer - Fulltime Location: Irving, TX We are seeking a skilled PySpark ... Experience with cloud platforms (AWS, Azure, or GCP) and services like S3, EMR, Databricks, Glue ...

Azure Databricks Engineer

Dallas, TX

$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 ...

Jr. Data Engineer

Dallas, TX

$113K - $136K/yr

Databricks * Medallion Architecture (Bronze, Silver, Gold) * Real-Time Data Pipeline Development * Data Engineering * Data Transformation and Modeling * JSON Data Structures * Relational Data ...

Showing results 41-60

Senior Databricks Data Engineer information

See Grand Prairie, TX salary details

$56.3K

$119.8K

$173.7K

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

As of Sep 5, 2026, the average yearly pay for senior databricks data engineer in Grand Prairie, TX is $119,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $135,800.00 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 Grand Prairie, TX?

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

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

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

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

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

Senior Data Engineer on-site)

Ziosk

Plano, TX • On-site

$101K - $137K/yr

Full-time

Re-posted 13 days ago


Job description

Senior Data Engineer (on-site) - Plano, TX
Welcome to Ziosk, where we empower restaurants to focus on what matters most: the guest experience!
Have you ever used a tablet to pay at a restaurant? We pioneered the pay-at-the-table concept and we're cooking up a plan to transform the restaurant industry. Our recipe for success has been adapting and growing to exceed the needs of our clients, such as Olive Garden, Texas Roadhouse, Chili's and more - helping them create an experience that keeps guests coming back. Today we have a full menu of solutions, from hardware to software to cloud-based and AI driven products, all focused on helping them create the best guest experience possible to grow their bottom line.
Our secret sauce? Our people! Every day, they're cooking up bold solutions, making Ziosk the leading pay-at-the-table provider in the industry.
Want a seat at our table? 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 platform. In this role, you will be responsible for building scalable ETL pipelines, implementing data lakehouse architectures, and supporting advanced analytics use cases in a high-volume data environment. You will work closely with data architects, data scientists, business stakeholders, and cloud infrastructure teams to deliver reliable, secure, and high-performance data solutions.
The Main Course - Responsibilities
Data Architecture & Engineering
  • Design and implement scalable ETL/ELT pipelines using Azure Databricks (PySpark, Spark SQL).
  • Build robust data ingestion workflows from diverse sources (Event Hub, APIs, Azure SQL, Blob Storage, etc.) into the Bronze/Silver/Gold layers of the medallion architecture.
  • Define and implement best practices for Delta Lake and Unity Catalog for schema evolution, versioning, and governance.
  • Optimize performance and cost efficiency of large-scale data pipelines through intelligent partitioning, caching, clustering, and tuning Spark configurations.

Cloud Platform Integration
  • Integrate Databricks with Azure Data Lake Storage (ADLS Gen2), Azure Data Factory (ADF), Azure Synapse, Event Hub, Key Vault, and Azure DevOps.
  • Implement secure and governed access to data using managed identities, role-based access control (RBAC), and data masking techniques.

Collaboration & Leadership
  • Partner with data analysts, data scientists, and business users to understand data needs and deliver trusted datasets and KPIs.
  • Provide technical leadership and mentorship to junior engineers, conducting code reviews and guiding architectural decisions.
  • Collaborate with enterprise architects and InfoSec to ensure compliance with data security and privacy policies.

Monitoring & Quality
  • Implement data quality checks, alerts, and lineage tracking using tools such as Great Expectations, Unity Catalog, and Data Observability platforms.
  • Set up monitoring dashboards, alerts, and job recovery mechanisms for mission-critical pipelines.

What You Bring To The Table - Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering, with 3+ years focused on Azure Databricks and Spark (PySpark).
  • Expertise in Delta Lake, Unity Catalog, Databricks Notebooks, and SQL Warehousing.
  • Hands-on experience with Azure cloud services: ADLS Gen2, Event Hub, ADF, Key Vault, Synapse.
  • Strong programming skills in Python, SQL, and familiarity with Scala.
  • Solid understanding of data modeling (OLTP/OLAP), star/snowflake schemas, and performance tuning.
  • Experience with CI/CD pipelines in Databricks using Databricks CLI, Terraform, or Azure DevOps.

Preferred Qualifications
  • Databricks certification (e.g., Databricks Certified Data Engineer Professional).
  • Experience with real-time streaming (e.g., using Structured Streaming, Event Hub, Kafka).
  • Familiarity with MLflow or machine learning pipeline support in Databricks.
  • Experience with Power BI, Azure Purview, or Microsoft Fabric for downstream reporting.
  • Knowledge of data governance, lineage, and compliance standards (GDPR, HIPAA, SOC2).

Ziosk is an Equal Opportunity employer offering competitive benefits and compensation. Candidates must be eligible to work in the U.S. and be able to commute to Plano, TX daily. Applicants must be authorized to work for any employer in the U.S. No agencies or third-party recruiters, please.