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Databricks Engineer Jobs (NOW HIRING)

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Role: Databricks Engineer Experience 4-8 years Location As per business requirement Employment Type Full-time Job Summary We are looking for a skilled Databricks Engineer with strong expertise in ...

Transcend Softech LLC

Databricks Engineer

Boston, MA · On-site

Databricks Engineer Location: Boston, MA Long Term Contract * Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design * Overall experience 7 to 8 years in Scala-Spark ...

1 point system

Databricks Engineer

Jersey City, NJ · Remote

ABSOLUTE MUST-HAVES (Please do not submit candidates without these): * 5-8 years of hands-on Databricks engineering experience (not light exposure) * Strong, recent Delta Live Tables (DLT) experience ...

AXIS Capital

Databricks Engineer

Alpharetta, GA · Hybrid

As a Databricks Engineer, you will work closely with the Solution Engineer and Data Architecture teams to design, build, and operate data integration and analytics solutions. You will play a key role ...

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 ...

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

CMT Services Inc

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Lorven Technologies

Databricks Engineer - Remote

Job Title : Databricks Engineer Location: Remote Fulltime Required Skills: Proficiency in PySpark and SQL, experience with Medallion architecture, and performance tuning within the Databricks ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

1 point system

Databricks Engineer

Austin, TX · On-site

Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional). Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows)

System One

Databricks Engineer

Madison, WI · On-site

Databricks Engineer Location: Washington, District of Columbia Type: Contract Contractor Work Model: Onsite PROJECT DESCRIPTION: The Enterprise Data Platform (EDP) empowers the Board to confidently ...

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 ...

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 ...

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Databricks Engineer information

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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.

Databricks Engineer

iLink Digital

Milpitas, CA • On-site

Full-time

Posted 28 days ago

Job description


Role: Databricks Engineer
Experience
4-8 years
Location
As per business requirement
Employment Type
Full-time
Job Summary
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
  • Apache Spark
  • PySpark
  • Spark SQL
  • Delta Lake
  • Python
  • SQL
Cloud Platforms (one or more)
  • Microsoft Azure (preferred)
  • AWS
  • Google Cloud Platform
Azure Technologies (Preferred)
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure Synapse Analytics
  • Azure Key Vault
  • Azure DevOps
Data Engineering
  • Data Warehousing
  • Data Modeling
  • ETL/ELT Development
  • Batch Processing
  • Streaming (Kafka/Event Hubs)
  • Data Lake Architecture
DevOps & Version Control
  • Git
  • Azure DevOps / GitHub
  • CI/CD Pipelines
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
  • Databricks Certified Data Engineer Associate
  • Databricks Certified Data Engineer Professional
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Azure Fundamentals (AZ-900)
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
  • Delta Lake
  • Python
  • SQL
  • Azure/AWS/GCP (at least one cloud platform)
  • ETL/ELT Development
  • Data Lake Architecture
Nice to Have
  • Unity Catalog
  • Delta Live Tables (DLT)
  • MLflow
  • Kafka/Event Hubs
  • Azure Data Factory
  • Terraform
  • Azure DevOps/GitHub Actions

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