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Databricks Engineer Jobs (NOW HIRING)

Crox Consulting Inc

Azure Databricks Engineer

Edison, NJ · On-site

$60 - $65/wk

Azure Databricks Engineer Location: Jersey City, NJ - Hybrid (2 days Onsite) NOTE :: Must be available for face to face for screening and final round of interview Responsibilities: 1. Design and ...

Treliant LLC

Databricks Engineer

New York, NY · On-site

$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 ...

CEDENT

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 ...

Innover Global Inc

Be Seen First

Azure Databricks Engineer

Chicago, IL · On-site

$50 - $58/hr

Senior Databricks & Spark Data Engineer Location: Richardson, TX or Chicago, IL Work Type: Hybrid Experience: 8+ Years -- Mandatory Visa: U.S. Citizens (USC) or Green Card Holders (GC) only Key ...

Wipro Limited

Databricks Engineer (CONTRACT)

Weehawken, NJ · On-site

$60K - $135K/yr

Databricks Engineer (CONTRACT) City: Weehawken State/Province: New Jersey Posting Start Date: 9/3/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Innover Global Inc

Be Seen First

Azure Databricks Engineer

Chicago, IL · On-site

$50 - $58/hr

Senior Databricks & Spark Data Engineer Location: Richardson, TX or Chicago, IL Work Type: Hybrid Experience: 8+ Years -- Mandatory Visa: U.S. Citizens (USC) or Green Card Holders (GC) only Key ...

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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.

Azure DataBricks Engineer

Denver, CO • On-site

Tata Consultancy Service Limited
See more jobs at Tata Consultancy Service Limitedexternal

$130K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Azure DataBricks Engineer
Must Have Technical/Functional Skills
• Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks.
• Implement batch data ingestion and transformations using PySpark and Spark SQL.
• Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake.
• Ensure data quality, reliability, lineage, and governance across the data platform.
• Collaborate with security and platform teams to enforce data access controls and best practices.
• Experience on CI/CD pipelines using Git for Databricks
Roles & Responsibilities
• Act as the onsite lead for Azure Databricks data engineering initiatives.
• Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices.
• Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components.
• Ensure alignment between offshore execution and onsite architecture, security, and business requirements.
• Proactively identify risks, gaps, and improvement opportunities across the data platform.
• Prior experience working in a hybrid onsiteoffshore delivery model
• 6-10 years of hands on experience in data engineering.
• Strong, proven expertise in Azure Databricks and Delta Lake.
• Advanced proficiency in SQL with a solid understanding of distributed data processing concepts.
• Demonstrated experience leading, mentoring, or supervising data engineering teams.
• Strong experience performing code reviews and solution design validations.
• knowledge of data security, and access management (RBAC).
• Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range- $130,000-$140,000 a year
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