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Databricks Engineer Jobs (NOW HIRING)

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

$125 - $150/hr

Milpitas, United States | Posted on 07/22/2026 We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the ...

Damco Solutions

Azure Databricks Engineer

Atlanta, GA · On-site

Damco Solutions is a company seeking an Azure Databricks Engineer to work with their client in the telecommunication sector. The role involves designing, building, and maintaining ETL or ELT ...

iLink Digital

$125 - $150/hr

Milpitas, United States | Posted on 07/22/2026 We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the ...

Hireblazer

Senior Databricks Engineer

Austin, TX · On-site

$103K - $142K/yr

Title: Senior Databricks Engineer Duration: 12 Months (3 Years Ext) Location: Austin, TX 78751. The working position is Hybrid - On Site and Telework Position will be 3 days remote with 2 days ...

HMG America

Azure Databricks Engineer / Lead

Dallas, TX · On-site

$101K - $134K/yr

Azure Databricks Engineer / Lead Location: Dallas, TX Local candidates Employment Type: Full-Time We are seeking an experienced Azure Databricks Engineer / Lead to join our team in Dallas, TX. The ...

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

1 point system

Databricks Engineer - DevOps

New York, NY · Remote

$54 - $74/hr

Phone/Skype Interview - 1 Round then offer Must haves: * 5+ years of Databricks experience * Unity ... Databricks DevOps & CI/CD * Data governance and security model implementation * Ability to act as ...

Tror AI for everyone

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Azure Databricks Engineer Job Location: Iselin, NJ (Hybrid/Local candidates only) Job Type: Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills: * Strong ...

Syntricate Technologies

Azure Databricks Engineer

Quincy, MA · On-site

$109K - $150K/yr

Syntricate Technologies is seeking a Senior/Lead Azure Databricks Engineer with extensive experience in Databricks development and data engineering. The role involves data ingestion, transformation ...

Syntricate Technologies

Senior Databricks Engineer

Quincy, MA · On-site

$109K - $150K/yr

Syntricate Technologies is seeking a Senior Databricks Engineer. The role requires extensive experience in Databricks development and data engineering, focusing on data ingestion and transformation ...

Treliant LLC

Databricks Engineer

New York, NY · Hybrid

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

Treliant LLC

Databricks Engineer

New York, NY · Hybrid

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

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Databricks Engineer information

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How much do databricks engineer jobs pay per year?

As of Sep 8, 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 September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Databricks Engineer

Milpitas, CA • On-site

iLink Digital
IT Services • 501 - 1,000 employees
Learn more about iLink Digitalexternal

$125 - $150/hr

Other

Posted 24 days ago

Job description

Milpitas, United States | Posted on 07/22/2026

We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have experience building scalable ETL/ELT pipelines, working with large-scale data, and leveraging Apache Spark to deliver high-performance data solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build ETL/ELT workflows for batch and streaming data processing.
  • Develop solutions using PySpark, Spark SQL, and Delta Lake.
  • Implement Medallion Architecture (Bronze, Silver, Gold) for data transformation.
  • Integrate data from various sources including relational databases, APIs, cloud storage, and streaming platforms.
  • Optimize Spark jobs for performance, scalability, and cost efficiency.
  • Collaborate with Data Architects, Data Scientists, BI developers, and business stakeholders.
  • Implement CI/CD pipelines and deployment automation for Databricks workloads.
  • Ensure data quality, security, governance, and compliance.
  • Monitor, troubleshoot, and optimize production data pipelines.
  • Document technical solutions and follow engineering best practices.
Required Skills
Core Technologies
  • Databricks Lakehouse Platform
  • PySpark
  • Spark SQL
  • Python
  • SQL
Cloud Platforms (one or more)
  • AWS
  • Data Warehousing
  • Data Modeling
  • ETL/ELT Development
  • Batch Processing
  • Data Lake Architecture
  • Git
Preferred Qualifications
  • Experience with Unity Catalog.
  • Knowledge of Databricks Workflows and Jobs.
  • Hands-on experience with Delta Live Tables (DLT).
  • Exposure to MLflow is an added advantage.
  • Experience with data governance and security best practices.
  • Familiarity with Infrastructure as Code (Terraform) is a plus.
Educational Qualification
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Certifications
Good to Have
  • Experience with real-time analytics.
  • Knowledge of Lakehouse architecture.
  • Experience with Agile/Scrum methodologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
Mandatory Skills
  • Databricks
  • PySpark
  • Spark SQL
  • Python
  • SQL
  • Azure/AWS/GCP (at least one cloud platform)
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