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Databricks Data Engineer Jobs (NOW HIRING)

Capgemini

Databricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

... Databricks with downstream systems enabling realtime and batch data consumption across enterprise platforms - Collaborate with data architects analysts and engineering teams to define data models ...

Infosys

Databricks Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Required : • Experience with Databricks migration/modernization • Experience with Databricks ... and optimize data engineering workflows • Experience building AI assisted or intelligent ...

StratG Inc

Data Engineer

Holmdel, NJ · On-site

$127K - $153K/yr

Data Engineer Location : New Jersey who is a self-starter, fueled by collaboration, able to ... Expert in AWS Databricks, Python, Spark * Strong SQL, and UNIX Shell scripting experience

New

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... Expert in AWS Databricks, Python, Spark. * Strong SQL and UNIX Shell scripting experience.

Infosys

Databricks Data Engineer

Minneapolis, MN · On-site

$68K - $111K/yr

Databricks & ADF Python (PySpark/Spark) Azure; Airflow Kubernetes /Snowflake AI/ML (model deployments) Preferred Skill and Experience Data Analytics Skill / Health Care domain Github (CI/CD ...

Livefront

Data Engineer (Databricks)

$117K - $140K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Work you'll do As a Data Engineer II on the AI & Data team, you will be responsible for: * Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks ...

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Databricks Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do databricks data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for databricks data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

More about Databricks Data Engineer jobs
What cities are hiring for Databricks Data Engineer jobs? Cities with the most Databricks Data Engineer job openings:
What are the most commonly searched types of Databricks Data Engineer jobs? The most popular types of Databricks Data Engineer jobs are:
What states have the most Databricks Data Engineer jobs? States with the most job openings for Databricks Data Engineer jobs include:
What job categories do people searching Databricks Data Engineer jobs look for? The top searched job categories for Databricks Data Engineer jobs are:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in the United States as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Azure Data Engineer Databricks

Azure Data Engineer Databricks

Tata Consultancy Services

Denver, CO • On-site

$117K - $141K/yr

Full-time

Posted 17 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 208 rated it services

Job description

Job Summary:
Tata Consultancy Services is seeking an Azure Data Engineer specializing in Databricks. The role involves designing, building, and orchestrating ETL/ELT pipelines, ensuring data quality, and leading an offshore development team.
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 onsite–offshore delivery model.
Qualifications:
Required:
• 6+ Years of experience in data engineering
• 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
• 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 onsite–offshore delivery model
• 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:
• Experience with Azure Synapse / Fabric
• Azure Data Factory
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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