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Work From Home Data Engineer Jobs in Florida (NOW HIRING)

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

... homes and providing exceptional customer service, giving back to the communities in which we work ... Wrangle and integrate data from disparate systems to allow data analysts and data scientists to ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

... homes and providing exceptional customer service, giving back to the communities in which we work ... Wrangle and integrate data from highly disparate production systems to allow data analysts and data ...

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

... homes and providing exceptional customer service, giving back to the communities in which we work ... Wrangle and integrate data from highly disparate production systems to allow data analysts and data ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

... homes and providing exceptional customer service, giving back to the communities in which we work ... Wrangle and integrate data from highly disparate production systems to allow data analysts and data ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse ... Gather reporting and analytics requirements from business stakeholders, define success measures ...

New

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep ...

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ... Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note:

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... You may also be required to work from or visit a customer facility. * Onsite : If this position is ...

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Showing results 1-20

Work From Home Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do work from home data engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for work from home data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Work From Home Data Engineer, and why are they important?

To thrive as a Work From Home Data Engineer, you need strong programming skills (typically in Python, SQL, or Scala), a solid understanding of data modeling, and a degree in computer science or a related field. Familiarity with data engineering tools like Apache Spark, Hadoop, ETL frameworks, and cloud platforms such as AWS or Azure, along with relevant certifications, is highly valued. Excellent problem-solving abilities, self-motivation, and effective remote communication are essential soft skills for remote collaboration. These skills are crucial for building reliable data pipelines, ensuring data quality, and contributing effectively to distributed teams.

How can I make $2000 a week working from home?

Work from home data engineers can increase earnings by taking on multiple freelance or contract projects, specializing in high-demand skills like cloud platforms or big data tools, and maintaining a strong professional network. Building a reputation for quality work and acquiring relevant certifications can also lead to higher-paying opportunities. Earning $2000 weekly typically requires consistent project volume or high hourly rates, often achieved through experience and specialization.

How do remote Data Engineers typically collaborate with team members and stakeholders?

Remote Data Engineers usually rely on a combination of communication and project management tools, such as Slack, Zoom, Jira, and GitHub, to stay connected with their teams. Regular virtual meetings, code reviews, and shared documentation help ensure alignment on project goals and data solutions. Collaboration often involves working closely with data analysts, software engineers, and product managers to understand requirements, design robust data pipelines, and troubleshoot issues. Proactive communication and strong documentation skills are essential for success in a distributed environment.

What engineer makes $500,000 a year?

Highly experienced data engineers with specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles at large tech companies. Such compensation often includes bonuses, stock options, and other incentives, and typically requires extensive experience and expertise in tools like Spark, Hadoop, and cloud services like AWS or Azure.

How to make $1000 a week remote?

A work from home data engineer can earn $1000 a week by taking on multiple freelance or contract projects, increasing hourly rates through specialized skills like data pipeline development or cloud computing, and maintaining a consistent workload. Building a strong portfolio, gaining relevant certifications, and leveraging platforms like Upwork or Toptal can help secure higher-paying opportunities.

Can you work from home as a data engineer?

Yes, data engineers can often work from home, especially in roles that involve tasks like data pipeline development, database management, and coding, which can be performed remotely using tools like cloud platforms and collaboration software. However, some positions may require on-site presence for team meetings or hardware access, depending on the company's policies.

What does a Work From Home Data Engineer do?

A Work From Home Data Engineer is responsible for designing, constructing, and maintaining systems and architecture that allow organizations to collect, store, and analyze large amounts of data. Working remotely, they build and manage data pipelines, ensure data quality, and collaborate with other teams to support data-driven decision-making. These engineers often use programming languages like Python or SQL and work with cloud platforms to process and manage data securely from their home offices.

What is the difference between Work From Home Data Engineer vs Data Analyst?

AspectWork From Home Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, technical teams, cloud platformsRemote or on-site, business teams, reporting tools
Employer & Industry UsageTech, finance, healthcare companiesMarketing, retail, finance sectors

Work From Home Data Engineers focus on building data pipelines and managing data infrastructure, requiring technical skills and cloud platform experience. Data Analysts interpret data to generate insights, often using reporting tools. While both roles can be remote and involve data, their core responsibilities and skill sets differ significantly.

What job categories do people searching Work From Home Data Engineer jobs in Florida look for? The top searched job categories for Work From Home Data Engineer jobs in Florida are:
What cities in Florida are hiring for Work From Home Data Engineer jobs? Cities in Florida with the most Work From Home Data Engineer job openings:
Infographic showing various Work From Home Data Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Lead Data Engineer

Lennar

Miami, FL • Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago


Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

19th of 80 rated construction


Job description

Lead Data Engineer

We are Lennar

Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States.

Join a Company that Empowers you to Build your Future

The primary mission of the Lead Data Engineer role is to help our business evolve into a data and insights-driven organization. This position sits in our Enterprise Data and Analytics team, which aims to drive improved business outcomes using insights gleaned from data and analytics, infusing them into Lennar's corporate fabric.

The Lead Data Engineer will provide technical leadership to our data platform engineering team. This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing engineering solutions along with the team. In addition, this person focuses on empowering and enabling our business users through self-service and automation. The Lead Data Engineer is a key role in operationalizing Lennar's enterprise data fabric.

  • A career with purpose.

  • A career built on making dreams come true.

  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team

  • Design, build, and operationalize data engineering solutions for Lennar's data and analytics platforms and products.

  • Architect and implement ETL, ELT and streaming data ingestion data delivery processes across multiple sources.

  • Experience in data modeling, cloud data lake, cloud data warehouse

  • Instrument data analytics platforms with robust metrics and monitoring.

  • Improve data ingestion architecture, emphasizing data quality, maintainability, and extensibility.

  • Support process improvement on the team to enable rapid development of data products.

  • Define and Implement standards and best practices for data analytics team, including code modularization, versioning, testing, automation of CI/CD workflows, code reviews etc.

  • Gain an understanding of core business processes and align data development with business strategy.

  • Wrangle and integrate data from disparate systems to allow data analysts and data scientists to leverage end-to-end data and information.

Requirements

Technical Requirements

  • Expertise (At least 8+, prefers 12+ years) in:

  • Data Architecture design

  • Data modeling & Data warehousing concepts

  • Data transformations and standardizations

  • ETL processes & strategies

  • Monitoring and error handling

  • SDLC & workflow best practices

  • Code Reviews

  • QA/Testing methodologies

  • Strong experience (At least 3+, prefers 6+ years) with the following technologies and platforms:

  • AWS platform: S3, EC2, EMR, EKS, Glue, Lambda, AppFlow, Cloudwatch etc.

  • AWS certification is big plus

  • Snowflake Data Cloud

  • Account Administration

  • Virtual warehouse strategies

  • Snowflake feature implementation: Data Sharing, Time Travel, and Zero-copy cloning

  • Role-based Access Control strategies

  • Dbt

  • Managing dbt cloud environment

  • Managing multi-repository dbt projects

  • Creating and managing dbt models

  • Creating and leveraging dbt macros

  • Version control & branching strategies (Github a plus)

  • Proficient in languages: SQL, Python

  • Data governance, security, and compliance concepts

  • Data Ingestion

  • Incremental and CDC ingestion methods

  • REST APIs

  • Familiarity (At least 1+ years of experience) with:

  • Orchestration & scheduling tools (Prefect, Airflow is a plus)

  • Qlik Replicate

Other Requirements

  • Ability to work collaboratively and productively with other team members to achieve Lennar's objectives.

  • Thirst to help transform Lennar into an insights-driven organization.

  • Demonstrated some experience in all aspects of development including, but not limited to, gathering requirements, development of technical components related to process scope and supporting testing and post implementation support.

  • Ability to work and partner with users and stakeholders to gather solution requirements.

  • Experience working with business users to understand how to optimally deliver insights within their operational workflows & decision-making processes.

  • Ability and willingness to quickly learn new technologies.

  • Ability and willingness to learn about the business, its strategy, objectives, and core business processes.

Additional Requirements:

Travel up to 10% of the time to Divisions within the Lennar family.

Interact well with co-workers.

Cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team.

Comply with and implement company policies and procedures.

Accept constructive criticism.

Strong work ethic.

Team player.

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.

Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.


What Lennar employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom


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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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