1

Databricks Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows * Programming Languages: Strong proficiency in Python or ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Senior+ Software Engineer

Durham, NC

$111K - $146K/yr

Experience with building AI agents, LangChain, Terraform, Databricks, vector databases. * Bonus ... Founding Engineer (employee #3) at JupiterOne - Responsible for leading the largest engineering ...

QC Data Engineer

Holly Springs, NC · Hybrid

$45 - $55/hr

Senior QC Data & Digital Solutions Engineer Overview The Senior QC Data & Digital Solutions ... Design and develop scalable, enterprise-grade solutions using Databricks, SQL, Microsoft Power ...

Azure Databrciks Architect

Raleigh, NC · On-site

$61.75 - $80.50/hr

Job Summary : LTM is seeking an Azure Databricks Architect to lead data architecture and engineering initiatives. The role involves designing and implementing data solutions using Databricks ...

Experience with cloud data platforms (AWS, Azure, GCP) and data/ML tooling (e.g., Databricks, MLFlow, Streamlit). * Proficiency in ETL, feature engineering, data visualization. * Experience operating ...

Senior Software Engineer

Durham, NC · On-site

$111K - $146K/yr

As a Senior Software Engineer, you'll shape the technical foundation and culture of the team. You ... Experience with AI agents, LangChain, Terraform, Databricks, or vector databases. * Bonus: Strong ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Senior Quality Engineer

Raleigh, NC · Remote

$91K - $163K/yr

... Databricks environment * Implement data validation, reconciliation, and anomaly detection logic ... Bachelor's degree in Computer Science, Engineering, or IT related field * 5 years of experience in ...

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ... within Databricks * Utilize the dbt (data build tool) framework to execute complex data ...

next page

Showing results 1-20

Databricks Engineer information

See Raleigh, NC salary details

$57.8K

$108.5K

$197.3K

How much do databricks engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for databricks engineer in Raleigh, NC is $108,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $128,800.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 company size and industry demand.

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 career choice with good job prospects.

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.

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.
What cities near Raleigh, NC are hiring for Databricks Engineer jobs? Cities near Raleigh, NC with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $108,515 per year, or $52.2 per hour.
Manufacturing Systems Integration Engineer

Manufacturing Systems Integration Engineer

Corning

Durham, NC • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

79th of 519 rated manufacturers


Job description

Requisition Number: 73515

The company built on breakthroughs. 
Join us.           
       

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 

Corning's businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with: 

  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences 
  •  Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
Role Purpose

We are seeking a Manufacturing Systems Integration Engineer to design, implement, and maintain complex integrations across Operational Technology (OT) and Information Technology (IT) systems in a global manufacturing environment. This role requires technical expertise in industrial communication protocols, data pipelines, and system interoperability to ensure successful deployment of digital manufacturing solutions.

You will work with technologies such as Kepware OPC servers, Ignition SCADA, Siemens Opcenter MES, ZNT-PAC, MS SQL Server, Power BI, Databricks, and message bus architectures (AMQP) to deliver robust, secure, and scalable solutions.

Key Responsibilities
  • Design and implement system integrations between OT platforms and IT systems using OPC UA, AMQP-based message buses, REST APIs, SQL, and custom connectors.
  • Develop and maintain Ignition SCADA integrations for real-time visualization and control.
  • Configure and manage Kepware OPC servers for data acquisition from PLCs and field devices.
  • Integrate MES (Siemens Opcenter, ZNT-PAC) with upstream/downstream systems for production execution and traceability.
  • Enable reporting and visualization through SSRS and Power BI, including dashboards for OEE, SPC, and quality analytics.
  • Collaborate with data engineering teams to integrate OT data into Databricks for advanced analytics and machine learning use cases.
  • Execute integration projects from requirements gathering through deployment, ensuring within scope and on-time.
  • Coordinate with cross-functional teams (IT, OT, manufacturing, engineering, quality, and data engineering) to align on objectives and deliverables.
  • Update project plans, risk assessments, and status reports for project leaders and stakeholders.
  • Drive change management activities, including communication plans, training, and user adoption strategies.
  • Act as a technical advisor and change champion, ensuring smooth transition to new systems and processes.
Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, or related field.
  • 3+ years of experience in manufacturing systems integration or OT/IT convergence.
  • Strong hands-on experience with:
    • Ignition SCADA configuration and scripting (Python/Java-based).
    • OPC/UA and Kepware for industrial connectivity.
    • MES platforms (Siemens Opcenter, ZNT-PAC) integration.
    • AMQP-based message bus architectures for asynchronous data exchange.
    • Software development experience in Python, Java, or .NET for custom integrations.
  • Knowledge of industrial communication protocols (OPC UA, MQTT, Modbus, REST APIs).
  • Familiarity with ISA-95, ISA-88, and Industry 4.0 standards.
  • Experience configuring and troubleshooting TCP/IP networking in segmented manufacturing environments. Ability to diagnose connectivity issues, optimize network performance, and ensure secure communications between OT and IT systems.
  • Experience administering Windows Server environments and/or IIS webserver to support OT/IT deployments
  • Experience with reporting tools (SSRS, Power BI) and data visualization best practices.
  • Strong understanding of data governance
Desired Qualifications
  • Familiarity with cloud analytics platforms (Databricks, Azure, AWS) and data lake architectures.
  • Experience with containerization (Docker) and orchestration (Kubernetes) for deployment.
  • Exposure to machine learning workflows using manufacturing data.
  • Experience with change management frameworks is a plus.
Working Conditions
  • Travel to manufacturing sites (domestic/international) for discovery, deployment, and support.
  • Flexibility to support cutovers, validations, or critical events outside standard hours.

This position does not support immigration sponsorship.

The range for this position is $86,878.00 - $119,458.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.


What Corning employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom