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Weekend Data Engineering Jobs in Florida (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 Engineering Lead- Finance

Orlando, FL · On-site

$106K - $128K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Data Engineering Lead- Finance

Tampa, FL · On-site

$108K - $129K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

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 ...

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 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 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 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 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 ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Bachelor's degree in Computer Science, Data Engineering, Data Analytics, Computer Science, Statistics, related field with demonstrated expertise with relevant industry in data engineering, data ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

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 ...

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Weekend Data Engineering information

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Florida?

The most popular types of Data Engineering jobs in Florida are:

Full-time

Re-posted 4 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.