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Databricks Engineer Jobs in Arlington, TX (NOW HIRING)

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms data platforms while ensuring data quality, security ...

Elite IT Solutions inc

DataBricks Engineer

Plano, TX · On-site

We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms data platforms while ensuring data quality, security ...

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting. * Data Engineering & Integration : * Design and implement ETL/ELT processes to ...

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 ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX

$54.50 - $67.50/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting Data Engineering & Integration: Design and implement ETL/ELT processes to ingest ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting. * Data Engineering & Integration : * Design and implement ETL/ELT processes to ...

Northern Base

Databricks Developer

Irving, TX · On-site

Role: Databricks Developer Location: Irving, TX (Onsite) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ 8-22 years of experience in Data Engineering and ...

Montek System

W2- AWS Databricks DevOps Lead

Dallas, TX · On-site

$52.50 - $71.75/hr

AWS Databricks DevOps Lead / Cloud Data Platform DevOps Lead Location- Dallas TX Duration- Long term The AWS Databricks DevOps Lead / Cloud Data Platform DevOps Lead is responsible for leading ...

Montek System

Sr AWS Databricks DevOps Lead

Dallas, TX · On-site

$129K - $165K/yr

AWS Databricks DevOps / Cloud Data Platform DevOps Lead Location- Dallas, TX Duration- Long term The AWS Databricks DevOps Lead / Cloud Data Platform DevOps Lead is responsible for leading operations ...

Deloitte

AWS & Databricks Platform Architect

Dallas, TX · On-site

$64 - $84/hr

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible ... Working knowledge of Databricks platform security architecture, including workspace isolation ...

Deloitte

AWS & Databricks Platform Architect

Dallas, TX · Hybrid

$64 - $84/hr

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible ... Working knowledge of Databricks platform security architecture, including workspace isolation ...

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Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Arlington, TX

Databricks Engineer information

See Arlington, TX salary details

$53.5K

$100.5K

$182.7K

How much do databricks engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for databricks engineer in Arlington, TX is $100,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $119,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Arlington, TX? For Databricks Engineer jobs in Arlington, TX, the most frequently searched job titles are:
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What cities near Arlington, TX are hiring for Databricks Engineer jobs? Cities near Arlington, TX with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Arlington, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $100,462 per year, or $48.3 per hour.

DataBricks Engineer

VIS IT Solutions Inc

Plano, TX • On-site

Contractor

Posted 17 days ago

Job description

Hi,
 
Please find the job description below
 
Role: 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 data platforms while ensuring data quality, security, and scalability
 
Key Responsibilities:
 
•     Design, develop, and maintain scalable data pipelines using Databricks Implement and manage Unity Catalog for centralized data governanance
•     Develop and optimize Spark Declarative Pipelines (SDP) and moderatePerform end-to-end data validation, reconciliation, and quality assurance.
•     Lead migration projects involving:
•     PySpark jobs from AWS EMR to Databricks Hive-based ETL workloads to Databricks and Delta Lake.
•     Legacy data platforms to Databricks Lakehouse architecture.
•     Convert and optimize Hive SQL, Spark SQL, and PySpark workloads forImple and automation for validation and PySparkjobs from AWS EMR to Databricks.
•     Hive-based ETL workloads to Databricks and Delta Lake.
•     Legacy data platforms to Databricks Lakehouse architecture.
•     Convert and optimize Hive SQL, Spark SQL, and PySpark workloads for Database Implement data quality frameworks and automation for validation and reconcilation Work closely with architects, business stakeholders, and data consumers to | Optimize Databricks jobs for performance, reliability, and cost efficiency.
•     Manage CI/CD processes and infrastructure automation for Databricks deplo Ensure compliance with enterprise data security, governance.
 
Required Skills:
 
•     Databricks & Data Engineering Strong experience with Databricks Lakehouse Platform.
•     Hands-on experience with Delta Lake, Medallion Architecture, and Databric Expertise in PySpark and Spark SQL.
•     Experience working with large-scale data processing and performance tuning Unity Catalog Strong understanding of: Unity Catalog setup and administration.
•     Strong understanding of Unity Catalog setup and administration Fine-grained access control (RBAC). Data lineage and audit capabilities.
•     Data governance and security implementation.
•     Spark Declarative Pipelines (SDP) Hands-on experience implementing and maintaining SDP pipelines.
•     Knowledge of pipeline orchestration, monitoring, and optimization.
•     Experience building reusable and scalable data transformation framework Data Validation & Quality Experience designing and implementing data validation frameworks.
•     Data reconciliation between source and target systems. Validation of migrated datasets to ensure accuracy and completeness.
•     Experience with data quality monitoring and observability tools.
•     Migration Experience Proven experience in migratingPySparkworkloads from AWS EMR to Databricks.
•     Mive-based ETL jobs to Databricks. Legacy data warehouses and Hadoop ecosystems to Databricks.