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Databricks Data Engineer Jobs (NOW HIRING)

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

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 ...

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How much do databricks data engineer jobs pay per year?

As of Jul 14, 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.
Databricks Data Engineer

Databricks Data Engineer

Infosys

Richardson, TX • On-site

$104K - $124K/yr

Full-time

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

Infosys rating

7.4

Company rating: 7.4 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

107th of 210 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, and they are seeking a Technology Consultant to join their Data and Analytics unit. The role involves contributing to software application design, coding, and maintaining system stability, while also ensuring software quality and providing training and support for new applications.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Experience with Databricks migration/modernization
• Experience with Databricks, pyspark, python, Git, Devsecops
• Experience building and operating data platforms or distributed data systems
• Experience with Medallion Architecture
• Experience using AI accelerators
• Automate and optimize data engineering workflows
• Experience building AI assisted or intelligent automation
• Ensure data quality, reliability, and performance across pipelines and shared frameworks
• Support downstream consumers such as analytics, reporting, and AI/ML teams
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Hands-on experience with AWS, including IAM, networking, and multi-account setups
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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