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Contract Data Engineering Jobs in Florida (NOW HIRING)

Iru

Manager, Data Engineering

Miami, FL

The Data Engineering team owns the infrastructure and pipelines that power data-driven decisions ... Familiarity with data contracts or other patterns for managing upstream schema changes * Experience ...

SmartIPlace

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · On-site

$106K - $128K/yr

Title: Data Engineer- W2 ROLE Duration: 12-month contract, can extend to 24 months Role Type: Hybrid, 3 days onsite, 2 remote Interview: Video Visa: USC or GC only Location: Orlando, Fl Client:

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company's analytics. This role ...

Stellar IT Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month contract Role Overview We are seeking a Data Engineer to support the Finance and BI teams by automating and optimizing data ...

SmartIPlace

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

Title: Sr. Data Engineer Duration: 12+ month Contract - Hybrid (3 days on site) Location: Orlando FL Preferred Responsibilities / What You Will Do * Plan and lead research and development for ...

ENSCO, Inc.

Data Engineer III

Melbourne, FL · On-site

This role is responsible for data engineering and organization, data science, and machine learning ... None Position Contingent Upon Contract Award: Yes

Professional Staffing Services

Data Engineer

Orlando, FL

$106K - $128K/yr

Data Engineer - Contract to Hire Location: Orlando, FL 32801 Pay: $90,000-$110,000 Schedule: Mon - Fri 8:00a-5:00p ***Candidates must be an U.S. Citizen or Green Card holder. No Sponsorship will be ...

Kanak Elite Services Inc

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 ...

ENSCO, Inc.

Data Engineer III

Melbourne, FL · On-site

$73K - $131K/yr

We provide systems engineering, integration, and advanced technology services to transform the ... None Position Contingent Upon Contract Award: Yes Salary Range $73,923.20-$131,331.20 USD REAL ID ...

PBK

Data Engineer

Orlando, FL

$106K - $128K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a ...

Stellar IT Group

Senior Snowflake Data Engineer

Hollywood, FL · On-site

$97K - $132K/yr

Hybrid - Hollywood, FL (Onsite presence required) Type: 6-12+ Month Contract (Potential to Convert) Position Overview We are seeking a Senior Snowflake Data Engineer to join our data engineering team.

Caeus

Data Engineer

Tampa, FL

$108K - $129K/yr

Participate in code reviews and help establish engineering standards and reusable patterns ... S. Government contract requirements, only U.S. citizens are eligible for this role. Work ...

Booz Allen Hamilton

Azure Data Engineer

Melbourne, FL · On-site

$77K - $176K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... as well as contract-specific affordability and organizational requirements. The projected ...

CAE, Inc.

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Participate in code reviews and help establish engineering standards and reusable patterns ... S. Government contract requirements, only U.S. citizens are eligible for this role. Work ...

Booz Allen Hamilton

Azure Data Engineer

Melbourne, FL · On-site

$77K - $176K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... as well as contract-specific affordability and organizational requirements. The projected ...

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All JobsContract Data Engineering JobsContract Data Engineering Jobs in Florida

Contract Data Engineering information

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is the salary of a freelance data engineer?

The salary of a freelance data engineer varies widely based on experience, project complexity, and location, but typically ranges from $50 to $150 per hour. Experienced professionals with skills in cloud platforms, data pipelines, and programming languages like Python or SQL tend to command higher rates. Freelancers often set their rates based on project scope and client requirements.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, consulting, or working in high-demand industries such as finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and sometimes equity or performance bonuses.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and cloud platforms remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Is contract engineering a good career?

Contract data engineering involves short-term or project-based work focused on designing, building, and maintaining data pipelines and systems. It offers flexibility and diverse experience but may lack long-term job security and benefits compared to permanent roles. Success in this career often depends on technical skills, certifications, and the ability to adapt to different environments.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
What are popular job titles related to Contract Data Engineering jobs in Florida? For Contract Data Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Florida look for? The top searched job categories for Contract Data Engineering jobs in Florida are:
What cities in Florida are hiring for Contract Data Engineering jobs? Cities in Florida with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Florida as of June 2026, with employment types broken down into 67% Full Time, 20% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager, Data Engineering

Iru

Miami, FL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

About Iru
 
Iru is the AI-powered security & IT platform used by the world's fastest-growing companies to secure their users, apps, and devices. Built for the AI era, Iru unifies identity & access, endpoint security & management, and compliance automation-collapsing the stack and giving IT & security time and control back.
 
Iru is backed by some of the smartest investors in tech-General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital. In July 2024, Iru raised $100 million from General Catalyst, valuing the company at $850 million. Customers include Cursor, Vercel, Lovable, Replit, and Mercor, and Iru partners with industry leaders such as ServiceNow and AWS. Iru was named to Forbes' America's Best Startup Employers 2025 list for employee engagement and satisfaction.

The Opportunity:

We're looking for an Engineering Manager to lead this team. This is a player-coach role: you'll manage and grow the team while staying hands-on with technical work yourself. You should expect to spend ~40-60% of your time designing, building, and reviewing pipelines, models, and infrastructure alongside the team. You'll report to the Director of Data and partner directly with stakeholders across the business to ensure our data platform keeps pace with the company's growth.

This role is high-leverage. The systems you build and the decisions you make will shape how the entire company-and its AI capabilities-understands its products, customers, and performance.

About the Team:

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 portfolio-making it possible for Data Science, Analytics, Finance, Revenue, and our product engineering teams to move fast and trust what they see.

Our work is foundational to the company's AI and machine learning initiatives. The quality, freshness, and structure of the data we deliver directly determines what's possible for the models and systems built on top of it. If you want to create leverage for AI at scale, this is where it starts.

Our stack includes Kafka, Airflow, Snowflake, dbt, Python, SQL, AWS. We're at an inflection point: the foundation has been built, and now we need leadership to drive the next chapter-modernizing our architecture, raising the bar on data quality, and scaling how we partner with the rest of the org.
How You'll Make a Difference Day to Day:
  • Set technical direction
  • Drive architectural improvements to how we ingest, transform, and serve data-improving latency, reliability, and data freshness across the platform
  • Strengthen our transformation layers with clear ownership, data quality checks, and well-defined contracts between stages
  • Improve our data modeling practices so downstream teams can query confidently

  • Lead and grow the team
  • Manage, mentor, and develop a nimble team of data engineers
  • Build a culture of ownership, quality, speed, and continuous improvement
  • Create clarity around priorities, ship cadence, and how the team operates

  • Partner across the org
  • Work upstream with product engineering to influence how data models are designed in application databases-so they work well with centralized data workflows from day one
  • Serve as the primary technical point of contact for stakeholder requests, ensuring projects are scoped and architected before work begins
  • Build strong relationships with teams across the company to understand their needs and deliver data they can trust
We'd love to hear from you if you have:
  • 5+ years of experience in data engineering, with at least 2 years in a leadership or management role
  • Strong hands-on experience with modern data tools
  • Deep understanding of data modeling and pipeline architecture patterns
  • Experience designing and operating reliable data pipelines at scale
  • Ability to switch between strategic planning, people leadership, and hands-on technical contribution
  • Clear communication skills-you can translate between technical teams and business stakeholders
  • Ability to think through problems from the ground up
  • Required to work on-site 3x a week in our Miami office (Coral Gables).
Nice to haves, but NOT required:
  • Experience with event-driven architectures, CDC, or streaming technologies
  • Background in B2B SaaS, especially with multi-product data complexity
  • Familiarity with data contracts or other patterns for managing upstream schema changes
  • Experience partnering with application teams to influence source system design
Benefits & Perks
 
Competitive salary
Hybrid work environment (3 days in office per week) 
100% individual and dependent medical + dental + vision coverage
401(K) with a 4% company match
20 days PTO
Iru Wellness Week the first week in July
Equity for full-time employees
In-office lunch stipend provided
Up to 16 weeks of paid leave for new parents
Paid Family and Medical Leave
Modern Health mental health benefits for individuals and dependents
Fertility benefits
Working Advantage employee discounts
Onsite fitness center
Free parking
Exciting opportunities for career growth
 
We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you're someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you.
 
At Iru, we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.
 
Iru is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law. #LI-Hybrid
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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