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Data Engineering Jobs in Melbourne, FL (NOW HIRING)

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Data Engineering information

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How much do data engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineering in Melbourne, FL is $152,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,700.00 and $157,600.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Melbourne, FL?

The most popular types of Data Engineering jobs in Melbourne, FL are:

What job categories do people searching Data Engineering jobs in Melbourne, FL look for?

The top searched job categories for Data Engineering jobs in Melbourne, FL are:

What cities near Melbourne, FL are hiring for Data Engineering jobs?

Cities near Melbourne, FL with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $152,959 per year, or $73.5 per hour.

Software Development Engineer III

Blue Origin

Merritt Island, FL • On-site

Full-time

Re-posted 10 days ago


Blue Origin rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies


Job description

Job Summary:
Blue Origin is a company focused on developing reusable, safe, and low-cost space vehicles and systems. The Software Development Engineer III will contribute to the development of digital infrastructure for spaceflight systems, focusing on front-end development and collaboration with cross-functional teams to enhance software capabilities.
Responsibilities:
• Develop & implement new user experience for tools and applications that enable manufacturing teams to automate existing processes and standardize on performance-based benchmarks.
• Contribute to the design, implementation, and deployment of successful enterprise-scale systems and services in support of operations and the businesses they support.
• Design and implement user interface for machine connectivity and data pipelines from Machines/Tools/ equipment using MTConnect, OPC UA, and MQTT; contextualize with MES/ERP/QMS/PLM data.
• Leverage AI technologies and tools (e.g., LLMs, computer vision models) to enhance software capabilities, improve automation, and drive innovation in enterprise applications.
• Produce quality user documentation for defining integrations between enterprise-level applications.
• Build web applications for manufacturing engineers for scheduling, dispatching, redlining, and issue resolution.
• Adopt DevOps practices; containerize edge and cloud services; automate deployments across environments; ensure observability and reliability.
• Identify feature gaps between enterprise systems and develop remediation plans.
• Share knowledge in performance, scalability, enterprise system architecture, and engineering standard methodologies.
Qualifications:
Required:
• BA/BS in Computer Science, Information Science, Mechanical/Manufacturing Engineering, or related field; or equivalent practical experience.
• 5+ years of experience with a front-end web technology such as React, Vue, Angular, OR similar
• Strong understanding of software engineering principles and the ability to translate domain expertise into applications.
• Primary language proficiency in one of: Python, JavaScript/TypeScript, C#, or Java.
• Proven development experience with React, Python, FastAPI, AWS, Spring Boot, and Node.js.
• Experience with IoT Core, ELB, Lambda, CloudWatch, S3, Docker, EKS/ECS, Datadog, and Rancher/Kubernetes.
• Experience in event-driven messaging/streaming (e.g., MQTT, Kafka, Kinesis).
• Experience developing APIs and building production applications; strong SQL/database skills.
• Cloud expertise (AWS, Azure, GCP); GitOps, IaC (Terraform/CloudFormation), container orchestration, and edge deployment strategies.
• Solid understanding of version control systems and managing code/data/artifact lifecycles.
• Strong collaboration, ownership, and communication skills; bias for delivering high-quality results.
• Experience solving complex problems by leveraging AI tools and integrating AI-powered solutions into software development workflows.
• Have an ability to take technical ownership, step in to help team members as needed, collaborate with team members to identify, and fix technical problems.
Preferred:
• Experience using code assistants such as Copilot or Aider.
• Experience with serverless computing and event-driven architectures.
• Familiarity with containerization tools (e.g., Docker or equivalent experience) and orchestration systems (e.g., Kubernetes).
• Familiarity with automation test frameworks such as Selenium, Cypress, Junit.
• Understanding of ERP, MES, QMS, PLM, and other manufacturing software; integrating a complete digital thread.
• Interest in developing innovative systems for manufacturing leveraging IIoT, AI/ML and data engineering.
Company:
Blue Origin is an aerospace company that focuses on lowering the cost of spaceflight and helping to explore the solar system. Founded in 2000, the company is headquartered in Kent, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Blue Origin employees say

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About Blue Origin

Sourced by ZipRecruiter

Blue Origin is a private aerospace manufacturing and suborbital spaceflight services company based in Kent, Washington, USA. Established in 2000 by Amazon founder Jeff Bezos, the company operates in the cutting-edge aerospace industry aiming to build a future where millions of people can live and work in space. They develop a variety of technologies, with a focus on reusable rocket systems which significantly reduce the cost of space travel. Blue Origin's core mission is to make this vision come to life by incrementally building on its successes with an ultimate vision of dramatic cost reduction and increased reliance on reusable spacecraft.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Kent, WA, US

Year founded

2000