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Weekend Data Engineer Jobs in Altamonte Springs, FL

Data Scientist

Orlando, FL · On-site

$107K/yr

Data Engineering & Feature Discovery (20%) • Assist in the collection, cleaning, and organization ... weekends and holidays). Equal Opportunity Employer / Disabled / Protected Veterans The Know Your ...

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 ...

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 ...

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/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 ...

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 ...

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 ...

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 ...

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

They are looking for an experienced MLOps Engineer to join their Data and AI team to design and implement scalable, cloud-native solutions that support their Data & Development team, while ...

Showing results 41-60

Weekend Data Engineer information

See Altamonte Springs, FL salary details

$41.6K

$121.3K

$165.9K

How much do weekend data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend data engineer in Altamonte Springs, FL is $121,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 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 Altamonte Springs, FL?

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

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

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

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

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

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

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

Infographic showing various Weekend Data Engineer job openings in Altamonte Springs, 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 $121,254 per year, or $58.3 per hour.

$107K/yr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 23 days ago


Job description

Job Title: Senior Data Scientist (Operations Strategy & Advanced Analytics)
Role Overview
We are seeking a highly sophisticated Senior Data Scientist to formulate and apply advanced analytical approaches to drive incremental business value across a complex, high-volume enterprise ecosystem. In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve intricate problems. You will not only be an individual contributor but also a technical leader, mentoring a team of analysts and engineers while exploring state-of-the-art methodologies to keep our organization at the cutting edge of decision science.
Key Responsibilities
Advanced Analytical Modeling (45%)
• Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical optimization.
• Conduct rigorous error analysis to iterate on and improve model performance for large-scale predictions.
Data Engineering & Feature Discovery (20%)
• Assist in the collection, cleaning, and organization of large structured and unstructured datasets.
• Identify causes of variability, test new features, and integrate them into production-level code.
Stakeholder Communication & BI (15%)
• Utilize business intelligence tools to create compelling visualizations that translate complex findings into actionable insights for both technical and non-technical executive leadership.
Research & Innovation (10%)
• Explore and pilot state-of-the-art analytical tools and emerging technologies that can be leveraged to improve team efficiency and model accuracy.
Technical Leadership & Mentorship (10%)
• Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies and continuous improvement.
Qualifications & Requirements
• Education: Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or Data Science (Doctoral degree preferred).
• Technical Mastery:
• Machine Learning & Stats: Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML).
• Programming: Expert-level skills in SQL, Python, and R.
• Automation & Apps: Experience with process automation (Power Automate) and low-code app development (Power Apps).
• Visualization: Expertise in Power BI or Tableau.
• Experience:
• 3+ years of applied experience in analytical model design, development, and deployment.
• 5+ years of experience in high-volume consumer environments (e.g., hospitality, retail, or entertainment) is preferred.
• Attributes:
• Superior conceptual thinking and creative problem-solving skills.
• Demonstrated leadership and mentorship ability in an Agile or continuous improvement environment.
• Willingness to support a 24/7/365 operation, including peak demand periods (weekends and holidays).
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA