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Databricks Engineer Jobs (NOW HIRING)

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Azure Databricks Engineer

Dallas, TX · On-site

$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 ...

Techvilla Solutions

Senior Databricks Engineer

Paw Creek, NC · On-site

$100K - $138K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

Techvilla Solutions

Senior Databricks Engineer

Lake Wylie, SC · On-site

$100K - $137K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

Techvilla Solutions

Senior Databricks Engineer

Fort Mill, SC · On-site

$91K - $126K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

Techvilla Solutions

Senior Databricks Engineer

Tega Cay, SC · On-site

$91K - $125K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

Techvilla Solutions

Senior Databricks Engineer

Stallings, NC · On-site

$97K - $134K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

Techvilla Solutions

Senior Databricks Engineer

Cramerton, NC · On-site

$94K - $129K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

Techvilla Solutions

Senior Databricks Engineer

Belmont, NC · On-site

$96K - $131K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

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All JobsDatabricks Engineer Jobs

Databricks Engineer information

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$59.5K

$111.6K

$203K

How much do databricks engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for databricks engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.
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Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Azure Hyperscale SQL & Databricks Engineer

Accord Technologies Inc.

Weehawken, NJ • On-site

$59.75 - $74.25/hr

Contractor

Re-posted 6 days ago

Job description

Job Title: Azure Hyperscale SQL & Databricks Engineer
Location: Weehawken, NJ (onsite)
Duration: 12 months
Job Type: W2 contract
 
 
We are seeking an experienced Azure Hyperscale SQL & Databricks Engineer to join our Cloud Data Engineering team in Weehawken, NJ.
In this role, you will design, build, and optimize large-scale data solutions on Microsoft Azure, with a focus on Azure SQL Hyperscale, Databricks, and PySpark.
You will collaborate with data scientists, analysts, and other engineers to deliver high-performance, secure, and scalable data platforms that drive business insights and decision-making
 
Required Skills & Experience

  • Design & Development:

    • Architect, deploy, and manage Azure SQL Hyperscale databases for high availability and performance.

    • Develop and optimize Databricks workflows (PySpark, Delta Lake) for large-scale data processing and analytics.

    • Implement data pipelines (ETL/ELT) using Azure Data Factory, Synapse Analytics, and Databricks.

    • Automate infrastructure deployment using Terraform, ARM templates, or Bicep.

  • Performance & Optimization:

    • Tune SQL queries, indexing strategies, and partitioning for Azure SQL Hyperscale.

    • Optimize Spark jobs (Databricks) for efficiency and cost-effectiveness.

    • Monitor and troubleshoot performance bottlenecks in data pipelines.

  • Security & Compliance:

    • Implement RBAC, encryption, and data masking in Azure and Databricks.

    • Ensure compliance with UBS data governance and regulatory policies.

  • Collaboration & Leadership:

    • Work with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.

    • Mentor junior engineers and promote best practices in cloud data engineering.

  • 5+ years of hands-on experience with Azure data services (SQL Hyperscale, Databricks, Synapse, Data Factory).

  • Strong expertise in SQL, PySpark, and Python for data processing.

Preferred Qualifications

  • Azure certifications (e.g., Azure Data Engineer, Azure Solutions Architect).

  • Experience in financial services or regulated industries.

  • Familiarity with machine learning workflows in Databricks

  • Experience with big data architectures (Delta Lake, Parquet, distributed computing).

  • Proficiency in IaC tools (Terraform, ARM/Bicep) and CI/CD (Azure DevOps).

  • Knowledge of data security, networking, and compliance in financial services.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.