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Weekend Data Engineer Jobs in Florida (NOW HIRING)

We are seeking an experienced Data Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful ...

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 enterprise reporting, analytics, and operational decision-making. This role is responsible for ...

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks ...

Data Engineer

Tampa, FL

$108K - $129K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Miami, FL · Remote

$155K/yr

Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note: Please submit your resume in English, as all application materials must be in English for review ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse infrastructure and the semantic models, dashboards, and reporting that sit on top of it. This role ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... data engineering and integration experience * 1-3 years of data management in cloud-based data environments such as Azure or AWS * 3-5 years of experience developing database schemas, querying ...

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Intellisoft Technologies is seeking a proficient Azure Data Engineer to design, build, and maintain scalable data pipelines and architectures on the Azure cloud platform. The role involves ...

Data Engineer

Hialeah, FL · On-site

$103K - $124K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Tallahassee, FL · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$90K - $115K/yr

We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations. In this role, you ...

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$92K - $116K/hr

We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations. In this role, you ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Fort Myers, FL · On-site

$100K - $121K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

Data Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Showing results 41-60

Weekend Data Engineer information

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 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 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 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 most commonly searched types of Data Engineer jobs in Florida?

The most popular types of Data Engineer jobs in Florida are:

What job categories do people searching Weekend Data Engineer jobs in Florida look for?

The top searched job categories for Weekend Data Engineer jobs in Florida are:

What cities in Florida are hiring for Weekend Data Engineer jobs?

Cities in Florida with the most Weekend Data Engineer job openings:

Infographic showing various Weekend Data Engineer job openings in Florida as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution.

Data Engineer

BAE Systems

Fort Walton Beach, FL • Remote

$134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

10th of 49 rated military and defense


Job description


Job Description
We are seeking an experienced Data Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools.
Key Responsibilities:
  • Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources
  • Build and maintain data warehouses, including data modeling, data governance, and data quality
  • Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies
  • Optimize data systems for performance, scalability, and reliability
  • Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift
  • Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions
  • Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling
  • Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning
  • Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Work with data scientists to develop and deploy data-driven products and features
  • Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks
  • Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues

Required Education, Experience, & Skills
  • Bachelor\'s or Master\'s degree in Computer Science or a related field, with at least 6 years of experience in Information Technology, or equivalent experience.
  • Proficiency in one or more programming languages (e.g., Python, Java, Scala)
  • 6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems
  • 5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server.
  • 5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases
  • Strong understanding of database design principles, data modeling, and data governance
  • Proficiency in SQL, including query optimization, indexing, and performance tuning
  • Experience with data warehousing concepts, including star and snowflake schemas
  • Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components
  • Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift)
  • Experience with data processing frameworks such as Apache Kafka, Fivetran
  • Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark
  • Understanding of data quality and governance principles and best practices
  • Experience with AWS services and best practices
Soft Skills:
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components
  • Ability to work in a fast-paced environment and adapt to changing priorities
  • Strong attention to detail and ability to maintain high-quality documentation
  • Commitment to continuous learning and professional development

Preferred Education, Experience, & Skills
  • Experience with Dataiku
  • Experience with building reports using PowerBI and Tableau
  • Familiarity with agile development methodologies and version control systems such as Git
  • Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer)
  • Experience with agile development methodologies such as Scrum or Kanban
#LI-DM2
#LI-Remote
Pay Information
Full-Time Salary Range: $79370 - $134929
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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