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Freelance Data Engineer Jobs in Raleigh, NC (NOW HIRING)

... data sources through APIs so that customer's information flows across the organization without ... freelance work, or personal projects count). • Proficient in Python and SQL: with the ability to ...

Join us in transforming how healthcare professionals manage and share imaging data through ... freelance work, or personal projects count). * Proficient in Python and SQL: with the ability to ...

Strong understanding of site functionality, architecture, data flow and intuitive navigation ... Experience working in a fast-paced environment with strict deadlines- agency or freelance work ...

Coda, Adobe Dreamweaver, etc.) Strong understanding of site functionality, architecture, data flow ... freelance work preferred Ability to organize and manage multiple projects at a time Plus:

Freelance Data Engineer information

See Raleigh, NC salary details

$39.7K

$115.6K

$158.2K

How much do freelance data engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for freelance data engineer in Raleigh, NC is $115,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What types of projects and clients can a Freelance Data Engineer expect to work with?

Freelance Data Engineers often work on diverse projects ranging from building custom data pipelines and automating workflows to migrating databases or developing data integration solutions for businesses of all sizes. Clients can include startups looking to build new data infrastructure, e-commerce companies seeking analytics solutions, or established enterprises aiming to modernize their data systems. Most projects require close collaboration with data scientists, analysts, or software engineering teams, and the scope can vary from short-term assignments to ongoing support. Freelancing provides flexibility to choose projects that match your expertise and interests, as well as opportunities to gain experience across multiple industries.

Is people per hour free?

PeoplePerHour is a freelance platform where clients and freelancers can connect for various projects. While creating an account is free, there may be fees or commissions applied when hiring or receiving payments, depending on the project and payment method. Freelance data engineers can use the platform to find opportunities, but should review the fee structure before committing to a project.

What is a Freelance Data Engineer job?

A Freelance Data Engineer is a self-employed professional who designs, builds, and maintains data systems for clients on a project basis. They work with databases, ETL pipelines, cloud platforms, and big data technologies to ensure efficient data storage and processing. Unlike full-time employees, freelancers have the flexibility to choose projects, set their own schedules, and work remotely. They may collaborate with data scientists, analysts, and engineers to ensure seamless data flow. Freelance Data Engineers need strong technical skills in SQL, Python, Spark, and cloud services like AWS, GCP, or Azure.

What is the hourly rate for a freelance engineer?

The hourly rate for a freelance data engineer typically ranges from $50 to $150, depending on experience, skills, and project complexity. Highly specialized engineers with advanced expertise or certifications may charge higher rates, especially for complex data pipeline or cloud integration work.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

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

To thrive as a Freelance Data Engineer, you need strong programming skills (in languages like Python or Scala), in-depth knowledge of data modeling and ETL processes, and a solid background in databases and cloud platforms. Familiarity with tools such as Apache Spark, Hadoop, SQL, AWS, or Google Cloud, as well as relevant certifications like AWS Certified Data Analytics, is highly beneficial. Strong communication, project management, and problem-solving skills help you collaborate with clients and adapt to changing project requirements. These abilities are crucial for efficiently delivering tailored data solutions and building a reputable freelance business.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining complex data systems that require human expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on architecture, problem-solving, and ensuring data quality. Skills in programming, cloud platforms, and data modeling remain essential for the profession.
What are the most commonly searched types of Data Engineer jobs in Raleigh, NC? The most popular types of Data Engineer jobs in Raleigh, NC are:
What job categories do people searching Freelance Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Freelance Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Freelance Data Engineer jobs? Cities near Raleigh, NC with the most Freelance Data Engineer job openings:
Infographic showing various Freelance Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $115,626 per year, or $55.6 per hour.

Automation Engineer

Studycast

Raleigh, NC • On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
Core Sound Imaging, a PSG company, is redefining the future of medical imaging through innovative, cloud-based technology. The Automation Engineer will be responsible for building the technical foundation of the customer experience organization by identifying manual processes and engineering automated solutions to enhance efficiency and customer self-sufficiency.
Responsibilities:
• Partner with the Customer Success and Support teams to identify manual processes and build automated replacements that are reliable and easy to maintain.
• A consolidated dashboard showing account health, support queue status, onboarding stage, and renewal risk.
• Alerting logic that routes the right signal to the right person with a recommended next action.
• Account briefings that give the success team context before engaging a flagged customer.
• Connect data sources through APIs so that customer’s information flows across the organization without manual data entry or duplication.
• A unified account view joining product usage, support history, and billing data.
• Real-time sync between the support platform and implementation tracking.
• Contribute to customer-facing tools and monitoring systems that surface early warning signals from usage and support data.
• A self-service portal where administrators can run configuration changes and pull usage reports independently.
• An automated assistant grounded in product documentation and support history that resolves common technical queries without human escalation.
• A risk identification system that surfaces at-risk accounts before the renewal window, drawing on usage, support, and billing signals.
Qualifications:
Required:
• A degree in Computer Science, Information Systems, Engineering, or a related field — or equivalent hands-on experience.
• 1–3 years of experience writing and deploying scripts, automations, or integrations in a real environment (internships, freelance work, or personal projects count).
• Proficient in Python and SQL: with the ability to write queries, build basic scripts, and troubleshoot when something breaks.
• Experience connecting to APIs and working with external data sources.
• Eagerness to own projects end-to-end and see them through production.
Company:
More than a PACS, the Studycast® system from Core Sound Imaging offers comprehensive imaging workflow on demand. Founded in 2007, the company is headquartered in Raleigh, USA, with a team of 51-200 employees. The company is currently Growth Stage.