1

Weekend Data Engineer Jobs in Jacksonville, FL (NOW HIRING)

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Data Engineer Remote but inperson interview in Jacksonville, FL Data Engineer plays a critical role in designing, building, and supporting the organization's data services platform across Snowflake ...

Data engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Role: Sr. Data engineer Location: Jacksonville, FL (onsite) Job type: Fulltime Qualifications Educational and Experience Requirements * Bachelor's degree and 6+ years of experience in data analytics ...

Starburst Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Starburst Data Engineer, Starburst Presto, Data Mesh using Starburst, SQL, cloud services and APIs. * Experience: Minimum 6 years. Roles & Responsibilities: Experience in sufficient to perform the ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer II

Jacksonville, FL · On-site

$106K - $127K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

SQL Data Engineer

Jacksonville, FL

$106K - $127K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL Data Engineer! This position is a hybrid position located in Jacksonville, FL, working 2-3 days ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to design, implement, and optimize enterprise data validation frameworks that ensure the accuracy ...

next page

Showing results 1-20

Weekend Data Engineer information

See Jacksonville, FL salary details

$41.2K

$120.2K

$164.5K

How much do weekend data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data engineer in Jacksonville, FL is $120,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 per year, depending on experience, location, and employer.

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

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

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Jacksonville, FL?

The most popular types of Data Engineer jobs in Jacksonville, FL are:

What are popular job titles related to Weekend Data Engineer jobs in Jacksonville, FL?

For Weekend Data Engineer jobs in Jacksonville, FL, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Jacksonville, FL look for?

The top searched job categories for Weekend Data Engineer jobs in Jacksonville, FL are:

What cities near Jacksonville, FL are hiring for Weekend Data Engineer jobs?

Cities near Jacksonville, FL with the most Weekend Data Engineer job openings:

Infographic showing various Weekend Data Engineer job openings in Jacksonville, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $120,191 per year, or $57.8 per hour.

Data Engineer

WorkNovas LLC

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Posted 10 days ago


Job description

 Data Engineer 
Remote but inperson interview in Jacksonville, FL
Data Engineer plays a critical role in designing, building, and supporting the organization’s data services platform across Snowflake, Coalesce, Microsoft SQL Server, and Azure. This position develops reliable ELT and ETL workflows, supports data modeling and warehouse-oriented structures, and ensures that trusted, well-documented data is available for analytics, reporting, operations, and decision-making.

The ideal candidate will have strong SQL and data modeling skills, experience developing reliable data transformation workflows, and the ability to work closely with analytics, development, and business teams. This role supports sensitive healthcare and business data and requires a strong focus on data quality, reconciliation, security, documentation, and practical stakeholder support.

Education and Experience

•     Bachelor's degree in healthcare management, data analytics, statistics, information systems, business, or a related field; master’s degree preferred.

•     Proven experience as a Data Engineer or in a similar role.

•     Proficiency with SQL, Microsoft SQL Server, Snowflake, data modeling, and ELT or ETL development; experience with Coalesce or similar transformation and orchestration tools is strongly preferred.

•     Strong scripting or programming skills in languages commonly used for data engineering and automation, such as SQL, Python, PowerShell, or C#.

•     Strong proficiency in supporting data analytics and reporting tools such as SQL, Excel, Tableau, Power BI, or similar platforms.

•     Working knowledge of AI-assisted productivity, analytics, automation, or documentation tools, with the ability to validate outputs and apply sound judgment.

•     Knowledge of healthcare data privacy responsibilities and the handling of confidential information.

•     Preferred qualifications include hands-on experience with Snowflake, Coalesce, Microsoft SQL Server, Azure Data Factory or similar Azure data services, source control, deployment workflows, healthcare data, and business intelligence or analytics platforms such as Tableau or Power BI.

Knowledge, Skills, and Abilities 

•     Team Orientation & Interpersonal – highly motivated, collaborative, and service-oriented, with the ability to develop and maintain productive relationships with executives, peers, clinicians, clinical leaders, and external stakeholders.

•     Communication – able to explain complex data, technical concepts, AI-assisted outputs, and performance findings clearly and professionally in written, verbal, dashboard, and presentation formats.

•     Analytical Thinking – able to evaluate complex datasets and convert findings into practical modeling recommendations.

•     Organization & Time Management – able to work independently with minimal supervision, manage multiple priorities, and deliver accurate work within established deadlines.

•     Systems, Software & AI Tools – proficient with respective development environment tools, with the ability to use AI-assisted technologies responsibly to improve productivity, analysis, reporting.