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Weekend Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Juno Beach, FL

$111K - $134K/yr

Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data pipelines and feature engineering workflows * Work with SQL and/or cloud-based data ...

Data Engineer

Miami, FL

$109K - $131K/yr

Role: Data Engineer Location: Miami, Florida (Onsite) Type: Fulltime Experience: 7-10 years * Build a Centralized data platform - unified data platform for customer across organization * Data ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business ...

Data Engineer

Orlando, FL · Hybrid

$106K - $128K/yr

Data Engineer Location: hybrid schedule in Orlando, Fl Qualifications: **This position will be fully remote until they move into the new building (501 W. Church St. Orlando, FL 32801) , at which time ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Aventura, FL · On-site

$110K - $133K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Aventura, FL

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Summary We are seeking an experienced Data Engineer to join our data architecture team and help expand and optimize our modern data lakehouse environment. This role is ideal for someone who thrives ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Summary We are seeking an experienced Data Engineer to join our data architecture team and help expand and optimize our modern data lakehouse environment. This role is ideal for someone who thrives ...

Lead Data Engineer

Lakeland, FL

$106K - $127K/yr

Summary The Lead Data Engineer will design, build, and maintain the organization's enterprise data platform, leading the technical implementation of data pipelines, warehouses, and analytics ...

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

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Position Junior: 3-7 years Senior: 7-10 years Lead: 10+ years Senior: Data modeling work- dimensional or star schemas, or experience with Data world 2.0 Can range from getting data from ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Summary The Lead Data Engineer will design, build, and maintain the organization's enterprise data platform, leading the technical implementation of data pipelines, warehouses, and analytics ...

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python * 1+ years of proven experience ...

Data Engineer

Coral Springs, FL

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights to our organization. You will work closely with various teams to extract ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required. Thorough hands-on experience with Salesforce is a must , and experience with BigQuery is also a ...

Data Engineer

Miami, FL

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required. Thorough hands-on experience with Salesforce is a must , and experience with BigQuery is also a ...

Data Engineer

Orlando, FL · Remote

$106K - $128K/yr

Data Engineer Location: Remote (U.S. based) Contract Length: 6 months (with potential extension) Position Summary We are seeking a highly skilled Data Engineer with strong experience in Informatica ...

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Weekend Data Engineer information

What are Weekend Data Engineers?

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 position?

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, and why are they important?

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:
Data Engineer

$111K - $134K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Engineer in Juno Beach, FL.
Key Responsibilities:
* Clean, preprocess, and transform structured and unstructured data using Python
* Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends
* Build reusable data pipelines and feature engineering workflows
* Work with SQL and/or cloud-based data warehouses to extract and prepare data
* Collaborate with stakeholders to translate business problems into data-driven solutions
* Develop and maintain analytical models and dashboards
* As a Data Engineer, you will apply basic to intermediate machine learning techniques where applicable
* Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed
* Ensure data quality, reliability, and documentation
REQUIREMENTS:
* 3+ years of experience as a Data Engineer/Data Analyst
* Experience with SQL (PostgreSQL, MySQL, Big Query, Snowflake, etc.)
* Experience working with APIs and external data sources
* Solid understanding of data cleaning, transformation, and feature engineering
* Familiarity with data visualization tools; Matplotlib, Seaborn, Plotly, or Power BI/Tableau
* Understanding of statistics and data analysis fundamentals
* Strong proficiency in Python for data manipulation and analysis; Pandas, NumPy, SciPy
* Strong problem-solving and communication skills
Modern/Latest Tech Stack (Preferred):
* Python (3.x)
* Pandas, NumPy, Scikit-learn
* Jupiter, VS Code
* Git/GitHub
* Cloud platforms: AWS/Azure/Google Cloud Platform
* Data tools: Airflow, dbt, Spark (basic exposure)
* Containerization: Docker (nice to have)
Good to Have:
* Hands-on experience with Machine Learning models; Regression, classification, clustering, time series
* Exposure to LLMs and Generative AI; OpenAI/Azure OpenAI APIs; Prompt engineering; Embeddings, vector databases (FAISS, Pinecone, Chroma)
* Experience with NLP or text analytics
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.