ZipRecruiter

Log In

1

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

Varsity Tutors

SQL Tutor

Gainesville, FL · Remote

$18 - $40/hr

... data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar with SQL ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Gainesville, FL · Remote

$18 - $40/hr

... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Civil Engineering Tutor

Gainesville, FL · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Computer Programming Tutor

Gainesville, FL · Remote

$18 - $40/hr

Deep knowledge of programming fundamentals including variables, data types, control structures ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Python Tutor

Gainesville, FL · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

next page

Showing results 1-20

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

Contract Data Engineering information

See Hawthorne, FL salary details

$38.9K

$113.3K

$155K

How much do contract data engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for contract data engineering in Hawthorne, FL is $113,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $120,100.00 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 cities near Hawthorne, FL are hiring for Contract Data Engineering jobs?

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

Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Hawthorne, FL as of June 2026, with employment types broken down into 58% Full Time, 28% Part Time, 2% Temporary, and 12% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,255 per year, or $54.4 per hour.

Business Data Analyst | Business Analytics | Full-Time | Day

UF Health

Gainesville, FL • On-site

Full-time

Re-posted 19 days ago

Job description

Overview
The Business Data Analyst develops and maintains decision support, data warehousing, and reporting application systems to meet the information needs of physician practices and the College of Medicine. This role provides advanced reporting and analytics to support strategic business decisions, maintains standard reporting processes, fulfills ad hoc reporting requests, and develops models and forecasts for key business operations.
The Business Data Analyst leverages various databases and analytical tools, including Microsoft Office Suite, SQL Server, R, and SAS, to transform data into actionable insights. The position also supports revenue cycle management through contract performance monitoring, payer analysis, reimbursement modeling, and reporting for clinical, research, and quality improvement initiatives.
Responsibilities
Data Analysis & Reporting
  • Gather, analyze, and document business and reporting requirements.
  • Analyze and interpret complex datasets to identify trends, patterns, and business opportunities.
  • Develop and maintain daily, weekly, and monthly dashboards and performance reports.
  • Produce, publish, and distribute scheduled and ad hoc reports.
  • Provide meaningful interpretation and recommendations based on data analysis.
  • Present findings and insights to stakeholders and senior leadership.

Business Intelligence & Decision Support
  • Develop and maintain decision support and reporting systems.
  • Create forecasting models for key business and operational processes.
  • Support strategic planning and operational decision-making through advanced analytics.
  • Ensure data accuracy, integrity, and consistency across reporting platforms.

Revenue Cycle & Contract Analytics
  • Monitor managed care contract performance and reimbursement trends.
  • Perform detailed analysis of revenue cycle performance by payer and line of business.
  • Identify and resolve issues affecting reimbursement and cash flow.
  • Support payer contract negotiations by modeling reimbursement methodologies and rate proposals.
  • Evaluate physician reimbursement structures and financial impacts.

Clinical & Quality Reporting
  • Produce data and analytics to support clinical, research, and quality improvement initiatives.
  • Analyze healthcare quality measures and performance programs, including MIPS and other value-based initiatives.
  • Collaborate with cross-functional teams to meet reporting and compliance requirements.

Qualifications
Required Education
  • Bachelor's degree in Business Analytics, Computer Science, Engineering, Healthcare Administration, or a related field.
  • Graduate degree strongly preferred.

Required Experience & Skills
  • Advanced proficiency in Microsoft Office applications, particularly Excel.
  • Demonstrated experience with Structured Query Language (SQL).
  • Experience with statistical analysis tools such as R or SAS.
  • Strong knowledge of statistical methods and analytical techniques.
  • Proven experience in data analytics, reporting, and business intelligence.
  • Ability to analyze, interpret, and communicate complex data to diverse audiences.
  • Strong problem-solving, organizational, and analytical skills.
  • Exceptional attention to detail and accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication skills.
  • Ability to effectively interact with senior leadership and key stakeholders.

Preferred Qualifications
  • Experience in healthcare analytics or healthcare operations.
  • Experience with SAP BusinessObjects and Epic reporting systems.
  • Knowledge of healthcare quality initiatives, including MIPS and value-based care programs.
  • Experience interpreting managed care contract language.
  • Experience evaluating physician reimbursement and compensation methodologies.

Apply