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Weekend Data Engineering Jobs in Florida (NOW HIRING)

Jj

Manager Data Engineering

Palm Beach Gardens, FL · On-site +1

$108K - $130K/yr

Data Engineering Job Category: People Leader All Job Posting Locations: Mooresville, Indiana, United States of America, New Brunswick, New Jersey, United States of America, Palm Beach Gardens ...

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 ...

LTM

Specialist - Data Engineering

Tampa, FL · On-site

$108K - $129K/yr

LTM is seeking a Senior Big Data Engineer to design and implement scalable data processing solutions. The role involves developing and maintaining robust data pipelines, collaborating with 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 ...

DPR Construction

Data Engineering Lead- Finance

Orlando, FL

$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 ...

DPR Construction

Data Engineering Lead- Finance

Tampa, FL

$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 ...

WellDyne

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

WELLDYNE

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

WellDyne

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

... engineering, setting standards for code quality, pipeline design, data modeling, and testing across the team. • Lead technical planning for data engineering initiatives, breaking work into well ...

The Walt Disney Company

Sr Data Engineer

Orlando, FL · On-site

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10145881 The Senior Data Engineer will design, build ... The ideal candidate applies technical expertise to challenging engineering problems and ...

Dlapiper

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 ...

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Weekend Data Engineering information

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

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.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
Weekend Data Engineering jobs near you

Manager Data Engineering

Norwegian Cruise Line Holdings Ltd.

Miami, FL • On-site

Full-time

Re-posted 13 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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