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1099 Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Aventura, FL

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Doral, FL

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Summary The Lead Data Engineer will design, build, and maintain the organization's enterprise data platform, leading the technical implementation of data pipelines, warehouses, and analytics ...

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python * 1+ years of proven experience ...

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

WellDyne is seeking a Lead Data Engineer to design, build, and maintain the organization's enterprise data platform. This role involves leading technical implementations of data pipelines and ...

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights to our organization. You will work closely with various teams to extract ...

Data Engineer

Miami, FL

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

The Data Engineer will be responsible for building scalable data systems, integrating data from various sources, and collaborating with teams to enhance analytics and operational efficiency.

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. This role ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required. Thorough hands-on experience with Salesforce is a must , and experience with BigQuery is also a ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Data Engineer

Ormond Beach, FL · On-site

$100K - $120K/yr

Security First Managers is seeking a skilled Data Engineer to design, build, and optimize enterprise data solutions that support analytics, reporting, operational efficiency, and business growth.

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Showing results 21-40

1099 Data Engineer information

What is a 1099 data engineer?

A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.

What are the key skills and qualifications needed to thrive as a 1099 data engineer?

To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.

What are some common challenges faced by 1099 data engineers working as independent contractors?

As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.

What is the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer handles taxes, provides benefits

In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.

What cities in Florida are hiring for 1099 Data Engineer jobs?

Cities in Florida with the most 1099 Data Engineer job openings:

Infographic showing various 1099 Data Engineer job openings in Florida as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

$109K - $131K/yr

Full-time

Re-posted 11 days ago


Job description

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.

Primary Responsibilities/Essential Functions

This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.

Key Responsibilities

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 analytics and reporting needs.

· Develop robust ETL processes to integrate structured and unstructured data from diverse sources.

· Ensure high data quality through cleaning, validation, and transformation techniques.

Cloud and Big Data Solutions

· Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.

· Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.

· Manage data lakes to facilitate efficient data access and processing for downstream applications.

Database and Data Warehousing

· Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.

· Lead database architecture efforts, including schema design, query optimization, and performance tuning.

· Oversee the design and management of data warehouses, ensuring reliability, scalability, and security.

Software Development and Automation

· Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.

· Implement scripting automation using Bash and PowerShell to streamline workflows.

· Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.

Collaboration and Leadership

· Act as a technical leader, providing guidance on best practices.

· Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.

· Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.

· Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.

Required:

· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

· 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.

· Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).

· Deep understanding of big data tools (Hadoop, Spark) and ETL processes.

· Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).

· Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.

· Experience designing and managing data warehouses for performance and scalability.

· Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.

Preferred

· Strong experience in software architecture, design patterns, and code optimization.

· Expertise in Python-based pipelines and ETL frameworks.

· Experience with Azure Data Services and Databricks.

· Excellent problem-solving, analytical, and communication skills.

· Experience working in agile environments and collaborating with diverse teams.