1

Data Engineer Python Jobs in Florida (NOW HIRING)

Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

As a Data Engineer, you will analyze large amounts of business data, develop metrics, and automate ... SQL queries and Python code to develop solutions. • Working Knowledge of Snowflake. • ...

PCA Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support ... Azure Data Factory and Python across internal and external systems. • Translate business ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Proficiency in Python for data engineering, automation, and workflow development. * Hands-on experience with Microsoft Azure data services and Microsoft Fabric, or equivalent cloud data platforms.

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Data Engineer

Pompano Beach, FL · On-site

$76K - $85K/yr

Python a plus · Hands-on with Microsoft Fabric Data Factory or comparable orchestration tools ... engineering context, not as an administrator, but as someone who knows how CRM data flows and ...

Data Engineer

Miami, FL · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

SQL Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL ... Responsible for development, programming, coding of Information Technology solutions using Python ...

Data Engineer

Miami, FL

$120K - $180K/yr

Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks. * Soft ... Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines. * Knowledge of ...

Data Engineer

Tampa, FL · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Lead Data Engineer

Tampa, FL · On-site

$96K - $127K/yr

Proficiency in SQL and at least one programming language (Python, Java, C#, etc.) * Experience with cloud-based data platforms (AWS, Azure, Google Cloud, etc.) * Strong leadership and communication ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

What You Bring • 5+ years of experience in data engineering or a closely related role. • Strong SQL and Python skills - comfortable building pipelines, writing transformation logic, and debugging ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Data Engineer (AI-focused) We work with teams building data foundations for AI-and we're looking to ... Strong SQL and Python skills * Experience with ETL/ELT pipelines and big data tools * Familiarity ...

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Strong proficiency in Python, SQL, and data transformation frameworks such as dbt * Experience ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Strong proficiency with one or more programming/scripting languages (e.g., Python). * Deep expertise in SQL and managing relational/non-relational enterprise databases. * Experience with data ...

Sr Data Engineer

Orlando, FL · On-site

$135K - $181K/yr

Strong knowledge of Python and object-oriented programming concepts * Working knowledge of Java ... Experience building data pipelines and complex data transformations * 5+ years of professional ...

New

PCA Data Engineer

Orlando, FL

$106K - $128K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

next page

Showing results 1-20

Data Engineer Python information

See Florida salary details

$17.2K

$104.6K

$151.3K

How much do data engineer python jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data engineer python in Florida is $104,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

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

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the most commonly searched types of Data Engineer Python jobs in Florida? The most popular types of Data Engineer Python jobs in Florida are:
What are popular job titles related to Data Engineer Python jobs in Florida? For Data Engineer Python jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in Florida look for? The top searched job categories for Data Engineer Python jobs in Florida are:
Infographic showing various Data Engineer Python job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,599 per year, or $50.3 per hour.
Data Engineer II

Data Engineer II

Lennar

Miami, FL • On-site

$109K - $131K/yr

Full-time

Posted 9 hours ago


Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

19th of 79 rated construction


Job description

Job Summary:
Lennar is one of the nation's leading homebuilders, dedicated to creating an extraordinary experience for their Homeowners, Communities, and Associates. As a Data Engineer, you will analyze large amounts of business data, develop metrics, and automate data processes to enhance business insights.
Responsibilities:
• Design, implement and support an analytical data infrastructure and working knowledge of Modern Data Warehouse concepts.
• Design, build, and maintain efficient and scalable data pipelines and ETL processes to process large volumes of structured and unstructured data.
• Optimize data storage and retrieval methods to ensure performance, scalability, and cost-efficiency.
• Manage AWS resources including EC2, S3, Glue, Lambda, API’s, IAM, Cloud Watch etc.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications.
• Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing, reporting and analytics platforms.
• Contribute to the development of the BI tools, skills, culture and impact.
• Write advanced SQL queries and Python code to develop solutions.
• Working Knowledge of Snowflake.
• Collaborate across teams to align AI initiatives with organizational goals and understanding of AI concepts
• Knowledge on continuous integration/continuous delivery (CI/CD) pipelines and working on deployments when necessary.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of experience in data engineering or a related role, with demonstrated success in delivering data solutions.
• AWS Glue, Lambda, S3, EC2, CloudWatch, Cloud Trail.
• Dbt, Snowflake, SQL, Python, Qlik.
• Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning.
• Experience with NoSQL databases, such as MongoDB, Cassandra, or DynamoDB, and an understanding of their appropriate use cases.
• Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and data services, such as AWS Redshift, Azure Synapse, or Google BigQuery.
• Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing.
• Familiarity with data orchestration tools, such as Apache Airflow for scheduling and managing data workflows.
• Experience with data versioning and testing tools, such as DVC (Data Version Control) and dbt (data build tool).
• Understanding of data security practices, including encryption, access controls, and data masking.
Company:
For more than 70 years, Lennar has been in the business of making homeownership more attainable for more people. Founded in 1954, the company is headquartered in Miami, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Lennar employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lennar logo

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

Social media