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Databricks Engineer Jobs (NOW HIRING)

Neos Consulting

Databricks Engineer

Austin, TX · On-site

Texas Neos is Seeking a Databricks Engineer fora contract long-term role with our client in Austin, TX. ***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA (within 50 miles) WILL BE ...

New

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 ...

HonorVet Technologies

Databricks Engineer

Austin, TX · On-site

Databricks Engineer Location: Austin, TX 78751 Duration: 12 Months Contract Interview: Through Microsoft Teams and In person Work Schedule: Position will be 3 days remote with 2 days (Mondays and ...

New

Innosoul inc

Databricks Engineer

Austin, TX · On-site

Job ID: TX-529701754 Hybrid/Local TX Govt Databricks Engineer (Databricks/Data Engineer Associate/Professional/15+) with ETL/ELT, Apache Spark, DW, data modeling/star/snowflake schemas, SQL/Python ...

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 ...

Amer Technology, Inc

Databricks Engineer

Austin, TX · On-site

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines ...

LTIMindtree

Databricks Engineer

Irving, TX · On-site

Databricks Engineer Location: Irving, Tx We are seeking a highly skilled Databricks Engineer with AWS expertise to support Data Services portfolio The role will be responsible for designing ...

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 ...

New

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 ...

Tech Tammina

Databricks Engineer

Databricks Engineer Remote Contract role * Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark * Build scalable data processing workflows for structured and semi-structured ...

Innovee Consulting LLC

Databricks Engineer

Austin, TX · On-site

Role: Databricks Engineer Location: Austin, TX (Hybrid) Duration: Long Term In Person interview will be required Responsibilities: * Understands business objectives and problems, identifies ...

New

CMT Services Inc

Databricks Engineer

Hyattsville, 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 ...

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 ...

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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 Jul 29, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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.
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What cities are hiring for Databricks Engineer jobs? Cities with the most Databricks Engineer job openings:
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Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Databricks Engineer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 5 days ago

Job description

Role: Databricks Engineer (with Validation/Testing experience)

Location: 100% remote (east coast hours)

Duration: 3-year project

 

Notes/Job Description:

The team is seeing many resumes that mention Databricks superficially, but they are specifically looking for a true Databricks expert—someone who knows the platform end‑to‑end, not just an analyst or light user.

This is a hands‑on engineering role, not an analytics position. The ideal candidate should be comfortable building custom utilities, writing Python and PySpark code, and troubleshooting complex data movement and validation issues independently.

Key Requirements

  • Deep Databricks expertise (developer‑level), not just exposure
  • Strong hands‑on experience with Databricks Medallion Architecture
    • Bronze / Silver / Gold (also referred to as Raw / Silver / Mark layers internally)
    • Experience validating and testing data as it moves across layers
  • Experience ingesting data from 10+ source systems into data lakes
  • Very strong with Databricks notebooks, Unity Catalog, Python, and PySpark
  • Ability to test and report on curated data layers and clearly explain QA/testing approaches
  • Experience with CI/CD in Databricks, including promotion of code vs. developer workflows
  • Familiarity with Playwright and TypeScript for testing is nice to have
  • Certifications are a plus, but not mandatory

Team & Process

  • Role is embedded within the Enterprise Data & Analytics Platform team
  • Must align with established QA and governance processes

Overall Takeaway They want a Databricks‑first engineer who has designed, built, tested, and operatedDatabricks pipelines in complex, multi‑source enterprise environments—not someone with Databricks listed as a secondary skill.