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Contract Data Engineering Jobs in Florida (NOW HIRING)

Staffingine LLC

Oracle Data Engineer Lead

Tampa, FL · On-site

$65 - $70/hr

Contract * Optimize database and query performance to meet strict SLAs eg 2 seconds response time ... data engineering within enterprisescale environments * Proven expertise in Oracle performance ...

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 ...

Goldbelt, Inc.

Software/Data Engineer

De Leon Springs, FL · On-site +1

$110K - $145K/yr

Overview Please note that this position is contingent upon the successful award of a contract ... Bachelor\'s degree in Engineering, Computer Science, Information Systems, or related field ...

Worth AI

Principal Data Engineer (Miami)

Miami, FL · On-site

Partner with engineering, product, analytics, and security to turn business needs into durable data ... Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models

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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 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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Oracle Data Engineer Lead

Staffingine LLC

Tampa, FL • On-site

$65 - $70/hr

Contractor

Re-posted 25 days ago

Job description

Job Title: Oracle Data Engineer Lead
Job Location: USA Tampa, FL
Job Type: Contract

Job Description:

  • Optimize database and query performance to meet strict SLAs eg 2 seconds response time
  • Analyze execution plans and recommend strategies for indexing partitioning and query optimization
  • Collaborate with DBAs to validate and implement performance tuning recommendations
  • Oversee and enhance ETLELT workflows using Oracle Data Integrator ODI ensuring scalability efficiency and data quality
  • Leverage AWS services S3 Redshift Glue Lambda DMS for cloudbased data ingestion transformation and storage
  • Lead and mentor a team of data engineers fostering a culture of technical excellence and continuous improvement
  • Translate complex technical decisions into clear actionable insights for both technical and nontechnical stakeholders
  • Ensure data solutions align with business goals compliance standards and industry best practices

Required Qualifications

  • 7 years of experience in data engineering within enterprisescale environments
  • Proven expertise in Oracle performance tuning including query optimization execution plans indexing partitioning and parallelism
  • Strong proficiency in writing and optimizing complex SQL queries
  • Strong proficiency in understanding writing and debugging Stored Procedures Functions etc
  • Handson experience with Oracle Data Integrator ODI
  • Solid understanding of data warehouse design ETLELT processes and data modeling
  • Experience with AWS data services S3 Redshift Glue Lambda DMS
  • Demonstrated leadership experience including mentoring and guiding technical teams
  • Excellent verbal and written communication skills