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Data Engineering Jobs in Miami, FL (NOW HIRING)

Data Engineering team leadership . Lead, mentor, and develop a team of data engineers supporting reporting, analytics, data science, AI, and data quality initiatives. Plan and manage delivery of data ...

Data Lake Engineer

Miami, FL · On-site

$110 - $170/hr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

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Data Engineer

Doral, FL · On-site

$105K - $127K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Lake Engineer

Miami, FL · On-site

$109K - $131K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory ...

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory ...

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Data Engineering information

See Miami, FL salary details

$44K

$157.8K

$232.9K

How much do data engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineering in Miami, FL is $157,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $162,600.00 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 Miami, FL?

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

What are popular job titles related to Data Engineering jobs in Miami, FL?

For Data Engineering jobs in Miami, FL, the most frequently searched job titles are:

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

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

Infographic showing various Data Engineering job openings in Miami, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,831 per year, or $75.9 per hour.

Full-time

Re-posted yesterday


Job description

Job Summary:
Norwegian Cruise Line Holdings Ltd. is a leading global cruise company known for delivering unique guest experiences aboard their vessels. The Manager of Data Engineering will lead a team focused on enhancing data warehousing capabilities and maintaining legacy systems, ensuring alignment with business needs and project objectives.
Responsibilities:
• Data Warehousing and Legacy System Management: Lead the development and maintenance of data warehousing solutions. Manage legacy integrations and data application enhancements.
• Experience with SaaS based solutions and hands on experience on Snowflake, Oracle, SQL server. Also has good exposure on dbt Matillion and any other ELT / ETL tools.
• Team Leadership: Direct and mentor a team of data developers and engineers. Ensure team alignment with project goals and company objectives.
• Lead architecture decisions and able to manage vendor partners.
• Work with Product Owners, DevOps and Prioritize activities and manage delivery through Agile methodologies.
• Provide transparency through reporting on backlog, data quality metrics, and platform health.
• Project Execution: Manage the execution of data engineering projects ensuring they meet defined objectives. Collaborate with cross-functional teams for integrated project delivery.
• Technical Guidance: Provide technical expertise in data warehousing technologies and legacy systems. Stay updated on industry trends to guide the team effectively
• Stakeholder Engagement: Work closely with the Senior Manager and other stakeholders to align data engineering efforts with business needs. Communicate project progress and challenges effectively.
• Quality Assurance: Ensure adherence to best practices in data governance and security. Maintain high standards of quality in data engineering outputs.
• Perform other job-related functions as assigned.
Qualifications:
Required:
• Bachelor's Degree
• Field(s) Of Study: Business Management, Computer Science, Industrial Engineering, or related.
• Minimum of 7 years’ experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions.
• 2+ years of experience managing team.
• Experience in data engineering with a focus on data warehousing and legacy systems.
• Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell.
• Experience with Agile methods & tools like JIRA.
• Experience leading and coaching team members.
• Experience/exposure with Snowflake, dbt, Matillion and any ELT / ETL tools.
• Proven experience in data warehousing technologies, legacy system management, strong communication, and stakeholder engagement abilities.
• Strong listening, presentation, and interpersonal skills.
• Excellent analytical, problem-solving, verbal, and written communication skills.
• Able to prioritize and execute tasks in a high-pressure, fast-paced environment.
• Excellent decision-making abilities under uncertainty and ability to manage multiple priorities and deadlines for a team.
• Ability to drive results independently.
• Innovation, Process Improvement, Creativity, and Clean-Sheet Reinvention.
• Proven success with collaboration between cross functional teams.
• Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills.
• Consensus and diplomacy skills with ability to handle varying differences in opinions.
• Experienced with collaboration tools (Jira, Confluence, Lucid Chart).
• Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake.
• Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS.
• Excellent understanding of Windows, and Linux based infrastructure.
• Working knowledge of various tools, open-source technologies, and cloud services.
Company:
Norwegian Cruise Line Holdings Ltd. Founded in 1966, the company is headquartered in Miami, USA, with a team of 10001+ employees. The company is currently Late Stage.