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

RiseIT Solutions

Data Quality Engineer

Orlando, FL · On-site

$120K/yr

Data Quality Engineer Location: Orlando, FL (100% onsite) Type: Direct Hire Position Rate: $120K per year + 8% annual bonus + full benefits + full relocation Education: Bachelor's degree in IT ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Worth

Data Platform Engineer

Orlando, FL · On-site

$120 - $180/hr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

AI Chopping Block

Data Platform Engineer

Orlando, FL · On-site

$140 - $180/hr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Kalera

Data Warehouse Engineer

Orlando, FL

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

Kalera

Data Warehouse Engineer

Orlando, FL · On-site

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

Partner with engineering and product teams to resolve data issues and enforce standards: Collaborates cross-functionally to address data quality concerns, implement governance policies, and support ...

AllSTEM Connections

CRM Analytics Analyst

Orlando, FL · On-site

$104K/yr

We are seeking a skilled Data Engineer / Data Warehouse Architect to design, build, and manage scalable data warehouse solutions in a large-scale environment. This role will be responsible for ...

AllSTEM Connections

Lead Engineer

Orlando, FL · On-site

$58K - $93K/yr

Lead field data collection studies to ground your models in real-world observations. • ... A willingness to support a 24/7/365 operation, including high-demand periods (weekends/holidays) to ...

Photon

Sr PySpark developer - Tampa

Orlando, FL · On-site

Requirements and Qualifications: * 8+ years of relevant experience in the Data Engineering, ApacheSpark * Strong proficiency in PySpark and Apache Spark. * Solid experience with SQL, NoSQL databases ...

Photon

Sr PySpark developer - Tampa

Orlando, FL · On-site

Requirements and Qualifications: * 8+ years of relevant experience in the Data Engineering, ApacheSpark * Strong proficiency in PySpark and Apache Spark. * Solid experience with SQL, NoSQL databases ...

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Showing results 41-60

All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Orlando, FL

Weekend Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do weekend data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 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 Orlando, FL?

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

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

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

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

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

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

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

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,092 per year, or $58.2 per hour.

Data Quality Engineer

RiseIT Solutions

Orlando, FL • On-site

$120K/yr

Full-time

Re-posted 5 days ago

Job description

Title: Data Quality Engineer
Location: Orlando, FL (100% onsite)
Type: Direct Hire Position
Rate: $120K per year + 8% annual bonus + full benefits + full relocation
Education: Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
The responsibilities of the IT Engineer will provide technical expertise in developing and maintaining a data quality framework. This role will participate in the full data quality lifecycle from requirement elicitation through ongoing support. The candidate selected for this role will create technical design specifications from business/functional requirements or from logged data incidents. The position plays a pivotal role in the definition of our data quality program, which includes policy, process, standards, and tools. The role demands an ability to understand the data semantics, business use and relationships.
REQUIRED TECHNICAL SKILLS:
  • Strong understanding of data structures, data types, and data transformation.
  • Familiarity with industry data patterns, normalizations rules and data performance tuning.
  • Ability to perform complex data mappings, workflows and sessions.
  • Strong relational database skills and an understanding of columnar data structure.
  • Extensive experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx.
  • Advanced expertise in reading, analyzing and debugging SQL.
  • Ability to troubleshoot data processing performance issue.
  • Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ.
  • Experience or willingness to learn SparkSQL and Databricks.
  • Highly developed analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively analyze result set and triage quality issues.
  • Work with all levels of development from analysis through implementation and support.
  • Expertise in working with spreadsheets, strong understanding of financial concepts and data.
  • Ability to work independently, take ownership of tasks and follow through to implementation/resolution.
  • Resolve end user data problems through collaboration with both technical and functional personnel in a team environment.
  • Demonstrated competency in designing, developing and testing complex rule sets.
  • Demonstrated competency in accurately identifying the scope of work and preparing thorough, accurate and estimates.
  • Exceptional verbal and written communications skills, with an ability to express complex technical concepts in business terms.
  • Solid teamwork and interpersonal skills.
  • Strong analytical, problemsolving and conceptual skills.
REQUIRED EDUCATION:
Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
OTHER KEY QUALIFICATIONS:
  • Data modeling Experience
  • Exposure to Cloud Infrastructure
  • Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse
  • Experience with data integration patterns, data pipelines and tools such as Azure Data Factory
  • Experience using reporting tools like Power BI for Data quality visualizations
  • Knowledge of Data and Delta Lake Structures
  • Experience with Python, Scala or Java
  • Knowledge of restaurant or retail business
SKILLS AND EXPERIENCE:
  • 7+ years’ experience across Business Intelligence/Data Warehouse/Data Lake projects
  • 2+ years’ experience on Data Quality and Governance initiatives, with at least one successful implementation
  • Experience programming in SQL with ability to develop complex queries against large disparate data sets

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