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Contract Data Engineering Jobs in Middleburg, FL

Kforce Technology Staffing

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

We are seeking a Data Engineer to design, develop, and maintain modern data solutions that support ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

ARC Group

SQL Data Engineer

Jacksonville, FL

$106K - $127K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL ... This is starting out as a contract position running through April 2025 with strong potential to ...

Kavaliro

Systems Enginer III - Onsite

Jacksonville, FL · On-site

Create documentation that meets Contract Data Requirements List (CDRL) standards. * Provide guidance and support to less experienced engineers. * Safely manage government-furnished equipment and ...

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

Contract Data Engineering information

See Middleburg, FL salary details

$36.9K

$107.6K

$147.2K

How much do contract data engineering jobs pay per year?

As of Aug 25, 2026, the average yearly pay for contract data engineering in Middleburg, FL is $107,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $114,000.00 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 job categories do people searching Contract Data Engineering jobs in Middleburg, FL look for?

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

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

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

Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Middleburg, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,573 per year, or $51.7 per hour.

Associate Data Scientist

Jacksonville, FL • On-site

Intercontinental Exchange Holdings, Inc.
5 - 10K employees
Learn more about Intercontinental Exchange Holdings, Inc.external

$70 - $90/hr

Other

Re-posted 28 days ago

Job description

Overview

US Citizens only

Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. § 1324b(a)(3)) status.

Job Purpose

Intercontinental Exchange is seeking a Data Scientist I to join our Loan Data team. As a Data Scientist I, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market.

Responsibilities
  • Loan Data Analysis:
    • Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms).
    • Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools.
    • Develop and maintain databases and data systems to support loan data analysis and modeling.
  • Data Quality & Data Stewardship:
    • Monitor and assess the quality of loan data across internal and external sources.
    • Identify data quality issues, anomalies, and inconsistencies through analysis and validation checks.
    • Partner with data providers, clients, developers, and stakeholders to investigate root causes and drive issue remediation.
    • Contribute to the development of data quality rules, monitoring processes, and controls.
    • Document data quality issues and track resolution progress.
  • Insight Generation:
    • Communicate complex loan data insights and model results to non-technical stakeholders.
    • Develop and present reports, dashboards, and visualizations to support business decisions.
    • Collaborate with stakeholders to identify business problems and develop data-driven solutions.
  • Data Engineering:
    • Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
    • Collaborate with data engineers to implement data solutions and integrate with existing systems.
  • Research and Development:
    • Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
    • Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.
Knowledge and Experience
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn).
  • Experience with loan data analysis, machine learning, and data visualization.
  • Familiarity with relational database tools and environments such as SSMS, along with exposure to modern data platforms such as Databricks or Snowflake.
  • Experience with AI-assisted development and analytics tools and ability to incorporate them into data analysis and workflow processes.
  • Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions.
  • Experience with data visualization tools (e.g., Sigma, Tableau, Power BI).
  • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
Nice to Have
  • Advanced Degree:
    • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Certifications:
    • Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications.
  • Cloud Computing:
    • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
  • Domain Expertise:
    • Familiarity with loan markets, loan products, and lending regulations.

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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