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Weekend Data Engineering Jobs in Florida (NOW HIRING)

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Data Engineer

Orlando, FL · On-site

$90K - $110K/yr

Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into our central data warehouse and moving data ...

SmartIPlace

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · On-site

$106K - $128K/yr

Requirements: * 7+ years experience in data engineering development using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment * Experience with a variety of GenAI ...

Deloitte

Databricks Data Engineer

Tampa, FL · On-site

$108K - $129K/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 ...

Deloitte

Databricks Data Engineer

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 ...

Professional Staffing Services

Data Engineer

Orlando, FL

$106K - $128K/yr

Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into our central data warehouse and moving data ...

e-Med.us

Data Engineer

Miami, FL

$109K - $131K/yr

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

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™ ...

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI. Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI. Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations ...

Inizio Partners

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend) * Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare ...

IRIS Software, Inc.

Data Engineer

Tampa, FL · Hybrid

$104K - $125K/yr

Good experience working in Data Engineering is required. Good experience in Python is required. Experience with at least one relational database platform (PostgreSQL, SQL Server, MySQL). Design ...

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

Return Pro

Data Engineer

Aventura, FL · On-site

$110K - $133K/yr

Data Architecture and Engineering * Design and implement scalable data pipelines for data ingestion, transformation, and storage. * Architect and optimize data lakes and data warehouses to support ...

Stellar IT Solutions

Data Engineer

Miami, FL

$109K - $131K/yr

Qualifications * 3+ years of experience in data engineering or related roles. * Strong proficiency in SQL and Python for pipeline development and debugging. * Hands-on experience with BigQuery or ...

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 Senior Consultant ...

Deloitte

Sr Databricks Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

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

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Weekend Data Engineering information

What engineers make $500,000?

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

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

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. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

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

Data Engineer

PROFESSIONAL STAFFING SERVICES GROUP INC

Orlando, FL • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago

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Job description

Data Engineer

ONLY CONSIDERING CANDIDATES LIVING IN ORLANDO FLORIDA AREA

* MUST BE AUTHORIZED TO WORK IN THE US WITHOUT SPONSORSHIP. ONLY US CITIZENS AND PERMANENT RESIDENTS WILL BE CONSIDERED FOR THIS ROLE. NO B2B OR C2C.

*MUST be local to Orlando, FL -This position is onsite 5 days a week!

Job Summary

The Data Engineer will partner with a wide range of business units to implement analytical and data solutions that drive business value and enhance customer satisfaction. In this role, you will be responsible for collecting, storing, processing, analyzing, and modeling large datasets, as well as building data-driven applications. The primary focus will be on building, implementing, monitoring, and integrating scalable analytical solutions with the architecture used across the organization.

How You'll Shine

  • Pipeline Development: Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into our central data warehouse and moving data out to applications and affiliates.
  • Platform Management: Maintain, monitor, and optimize our analytics data warehouses and overall data platform.
  • Cloud & Infrastructure Support: Deliver hands-on development, deployment, maintenance, and support for a variety of cloud and on-premise solutions, web service infrastructures, and supporting technologies.
  • Automation: Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
  • Cross-Functional Collaboration: Partner closely with project managers, business analysts, data scientists, and key stakeholders to translate functional business requirements into technical specifications and ensure data infrastructure meets business needs.
  • Strategic Thinking: Maintain a critical eye on our technical strategy, proactively identifying performance gaps and designing creative solutions.

What You'll Bring

Education & Core Skills

  • Education: Bachelor’s degree in Computer and Information Science required (Master’s degree preferred).
  • Certifications: Snowflake and Python certifications are highly preferred, but not required.
  • Professional Skills: Excellent interpersonal, communication, and problem-solving skills. Exceptionally organized with strong attention to detail, systemic thinking, and a collaborative team-player mindset.

Technical Experience & Qualifications

  • Experience: 3+ years of related data engineering or IT experience.
  • Big Data & Cloud (1+ years): Proven experience with the Apache Spark framework, Hadoop, Java/Scala, Python, and AWS architecture.
  • Development & .NET (1+ years): Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
  • Database & Data Modeling (2+ years): Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake. Strong working knowledge of relational databases and query authoring (SQL).
  • Data Integration & ETL (1+ years): Proven experience building data pipelines, APIs, and ETL flows in cloud and on-premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
  • Analytical Capabilities: A successful history of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, alongside the ability to perform root-cause analysis on data processes to identify business opportunities.

Company Description

Travel & Lodging industry