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Contract Data Engineering Jobs in Miami, FL (NOW HIRING)

Base-2 Solutions, LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ... contract and project-dependent). NT

Base-2 Solutions, LLC

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ... contract and project-dependent). NT

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

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.

Stellar IT Group

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 ...

Prescient Edge

Full-Stack Data Engineer

Doral, FL · On-site

Please note that the availability of this position is contingent upon contract award. Benefits: At ... cloud based data engineering. * Expertise in building scalable, secure web applications ...

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Showing results 1-20

All JobsContract Data Engineering JobsContract Data Engineering Jobs in Miami, FL

Contract Data Engineering information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do contract data engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for contract data engineering in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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.

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

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 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 are the most commonly searched types of Data Engineering jobs in Miami, FL?

The most popular types of Data Engineering jobs in Miami, FL are:

What are popular job titles related to Contract Data Engineering jobs in Miami, FL?

For Contract Data Engineering jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Contract Data Engineering jobs in Miami, FL look for?

The top searched job categories for Contract Data Engineering jobs in Miami, FL are:

What cities near Miami, FL are hiring for Contract Data Engineering jobs?

Cities near Miami, FL with the most Contract Data Engineering job openings:

Contract Data Engineering jobs near you

Data Engineer

Miami, FL • On-site

Base-2 Solutions, LLC
Custom Software Development Services • 51 - 200 employees
Learn more about Base-2 Solutions, LLCexternal

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

  • Requisition ID: 3892
  • Standard Title:
  • Required Security Clearance: Top Secret/SCI
  • Location: Miami, FL
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes

Position Summary
Base-2 Solutions is seeking a Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
Essential Duties and Responsibilities
  • Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.
  • Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.
  • Build scalable, secure web applications with metadata-driven search and retrieval features.
  • Integrate APIs for seamless data interoperability.
  • Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
  • Implement RESTful and GraphQL APIs for data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
  • Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
  • Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years of equivalent experience in full-stack development and data engineering.
  • Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
  • Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
  • Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
  • Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.
Preferred Qualifications
  • AWS Certified Data Analytics - Specialty.
  • Microsoft Certified: Azure Data Engineer Associate.
  • ESRI ArcGIS Developer Certification.
Required Education and Experience Equivalency
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • OR 5 years of equivalent experience in full-stack development and data engineering.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI

Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

NT

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