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Data Engineering Jobs in Miami, FL (NOW HIRING)

Ci

Data Engineering Manager

Miami, FL

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 ...

Iru

Manager, Data Engineering

Miami, FL · On-site

The Data Engineering team owns the infrastructure and pipelines that power data-driven decisions across the company. We ingest, transform, and deliver centralized data from every product in our ...

Dlapiper

Data Engineer

Miami, FL

$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 ...

Pediatric Associates

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 ...

Pediatric Associates

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 ...

eMed LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Director of Data Department ... Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ ...

Deloitte

Databricks Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Rempli

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Collaborate with ML and AI teams on data needs Qualifications * 2-5+ years of experience in data engineering * Strong SQL and Python skills * Experience with ETL/ELT pipelines and big data tools

Univision Communications, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineering will work closely with other teams, such as data science and product development, to understand their data needs and ensure initiatives are driven to completion. The ideal ...

Deloitte

Sr Databricks Data Engineer

Miami, FL

$109K - $131K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer ...

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All JobsData Engineering JobsData Engineering Jobs in Miami, FL

Data Engineering information

See Miami, FL salary details

$44K

$157.8K

$232.9K

How much do data engineering jobs pay per year?

As of Jul 27, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

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.

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 require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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

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.

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 job categories do people searching Data Engineering jobs in Miami, FL look for? The top searched job categories for Data Engineering jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Engineering jobs? Cities near Miami, FL with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,831 per year, or $75.9 per hour.
Manager Data Engineering

Manager Data Engineering

Norwegian Cruise Line Holdings Ltd.

Miami, FL • On-site

Full-time

Posted 6 days ago

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.

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