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Databricks Engineer information

See Montclair, NJ salary details

$60.6K

$113.8K

$206.9K

How much do databricks engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for databricks engineer in Montclair, NJ is $113,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $135,000.00 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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Databricks Engineer jobs near you
Azure Databricks Machine Learning Engineer

Azure Databricks Machine Learning Engineer

Stellent IT LLC

New York, NY • On-site

Other

Re-posted 23 days ago

Job description

Databricks Certificate is required.

ROLE: Azure Databricks Machine Learning Engineer

LOCATION: Hybrid in NYC

LinkedIn is must. Locals only.

Job Description

We are looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL. A solid understanding of statistical analysis is a plus. Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. Uses the economics of cloud resources to solve business problems.

Key Responsibilities:

  • Design, develop, and deploy machine learning models using Azure Databricks.
  • Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
  • Apply ML Ops best practices to ensure robust and scalable model deployment.
  • Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
  • Collaborate with data scientists and engineers to integrate ML models into production environments.
  • Optimize and maintain existing ML models to ensure high performance and scalability.
  • Utilize PySpark, Python, and SQL for data processing and analysis.
  • Conduct statistical analysis to support data-driven decision-making.
  • Troubleshoot and resolve issues related to ML model deployment and performance.
  • Stay up-to-date with the latest advancements in machine learning and cloud technologies.

Qualifications:

  • 7+ years of experience in ML model deployment using Azure Databricks.
  • Proficiency in PySpark, Python, and SQL.
  • Experience with Azure Databricks ML Flow and ML Ops best practices.
  • Experience with deploying and managing LLMs and GenAI models on Databricks.
  • Experience with statistical analysis is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred)

Technical Skills

  • 3+ years of experience with creating stored procedures in SQL
  • Azure Databricks
  • Azure Databricks machine learning certificate
  • Bayesian Machine Learning
  • Machine Learning Operations
  • pandas
  • PySpark
  • Quantitative Statistical Analysis

Shubham Singh- Sr. Technical Recruiter

Email- shubham@stellentit.com

STELLENT IT A Nationally Recognized Minority Certified Enterprise

"Happiness can be found, even in the darkest of times, if one only remembers to turn on the light."
- JK Rowling

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About Stellent IT

Sourced by ZipRecruiter

Stellent IT, based in St Augustine, Florida, USA, is a renowned company in the IT sector whose primary focus is providing top-tier IT consulting and staffing services. Stellent IT's expertise lies not just in fulfilling IT staffing needs but in offering comprehensive technological solutions that enhance and drive business performance. Despite the limited information about their founding history, the company has earned a name for itself in the IT industry due to its commitment to quality and consistent delivery. With a mission centered around helping businesses efficiently navigate the IT landscape by providing strategic technology-inspired solutions, Stellent IT prides itself as a leader in its field.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

St Augustine, FL, US

Social media

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