Top 6 Data engineer (hybrid) Jobs in Orlando Fl

Data Engineer
Professional Staffing Services —Orlando, FL
- $50 - $65 an hour
- Full-time
- Background check
- Computer science
- Computer Science
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Data Engineer
Stellar IT Solutions LLC —Orlando, FL
- $48 - $53 an hour
- Contract
- Hybrid work
- Mid-level
- SQL
- Epic
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Data Engineer (Hybrid)
American Automobile Association —Lake Mary, FL
- $90,000 - $115,000 a year
- Hybrid work
- Computer science
- Computer Science
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Data Center Infrastructure Engineer
Leidos —Orlando, FL
- $73,450 - $132,775 a year
- Full-time
- 5 years
- System design
- Bachelor's degree
- Paid holidays
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Cyber AI Data Engineer Senior Consultant
Deloitte —Lake Mary, FL
- $105,400 - $207,800 a year
- Full-time
- Java
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- Bachelor's degree

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Data Engineer

Professional Staffing Services -
Orlando, FL

Quick Apply

Job Details

Full-time | Contract
$50 - $65 an hour
7 days ago

Qualifications

Data model design
Commercial use (data warehousing systems)
Computer science
Data Integration (Data management)
Computer Science
Maintenance
Application deployment
Snowflake
SQL
Data Architecture Design (Architecture design skills)
ETL process automation
Cloud database architecture
Bachelor's degree
Computer Information Systems
Data warehouse
Python
Dimensional modeling

Full Job Description

Job Summary - Data Engineer - 2 month contract with possibility to extend

Location: Orlando, FL 32809 (hybrid)

Schedule: Full time, M - F 8:00a-5:00p

Pay: $50 - $65/hr

Position Overview

We are seeking an experienced Data Engineer with a deep foundation in SQL, ETL development, and enterprise data warehousing. In this role, you will design, build, and optimize scalable data infrastructure to support complex analytics, machine learning, and business intelligence. You will architect modern cloud data topologies, work with both batch and streaming pipelines, and design schemas tailored for both traditional reporting and modern AI-driven workloads.

Responsibilities & Duties

Pipeline & Scripting Development: Design, develop, and deploy Python scripts and robust ETL/ELT processes to prepare structured, semi-structured, and unstructured data for analysis.
Data Modeling: Model dimensional (star/snowflake) and denormalized schemas optimized for performant enterprise reporting, discovery, and analytics.
AI & Knowledge Architecture: Design AI-friendly database schemas, ontologies, and data structures to power advanced analytics and AI applications.
Cloud Architecture & Topology: Architect enterprise cloud ops solutions for data topologies, working across cloud-based data environments.
Real-Time Data Processing: Implement and manage event-based and streaming technologies for real-time data ingestion and processing.
Optimization & Performance: Tune ETL jobs and SQL queries for maximum performance and scalability to seamlessly handle big data workloads.
Maintenance & Troubleshooting: Proactively monitor pipelines, identify bottlenecks, and resolve operational issues to ensure high data reliability.
Database Programming & Reverse Engineering: Write advanced SQL queries and stored procedures while reverse engineering existing data pipelines to improve architecture.
Quality Assurance & Standards: Perform rigorous code reviews to ensure alignment with business requirements, optimal execution patterns, and architectural standards.
DevOps & Release Management: Support automated release management and continuous integration/continuous deployment (CI/CD) processes.
Data Quality & Governance: Validate and cleanse incoming data while designing fault-tolerant pipelines that handle error conditions gracefully.

Requirements

5+ years writing complex SQL queries and working with relational database management systems (RDBMS).
5+ years of hands-on experience developing, deploying, and maintaining production-grade ETL/ELT pipelines.
Demonstrated experience with cloud-based data warehouses and environments (e.g., Snowflake, AWS Redshift, AWS RDS).
Strong understanding of data warehouse design principles, including OLTP vs. OLAP, Fact and Dimension modeling, and denormalization.
Hands-on experience with cloud-based data architectures, messaging protocols, and enterprise analytics platforms.
Education: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or equivalent experience preferred.

Preferred Qualifications (Pluses)

Strong proficiency with Python, dbt, and Pandas for data transformation.
Containerization experience using Docker and Kubernetes.
Experience building and maintaining CI/CD pipelines for data infrastructure.
Familiarity with serverless cloud workflows (e.g., AWS Lambdas, Step Functions).
Experience with advanced big data techniques, including data partitioning and performance tuning.
Active Cloud Certifications (e.g., AWS Certified Data Engineer, Snowflake Certified, GCP Data Engineer).

#LP

Pay: $50.00 - $65.00 per hour

Expected hours: 40.0 per week

Education:

Bachelor's (Preferred)

Experience:

SQL: 5 years (Preferred)
ETL/ELT Pipelines: 5 years (Preferred)
Data warehouse: 5 years (Preferred)
Cloud-based Architecture: 5 years (Preferred)
Python: 3 years (Preferred)

Ability to Commute:

Orlando, FL 32809 (Preferred)

Work Location: In person

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data engineer (hybrid) jobs in orlando fl

Data Engineer

Data Engineer

Data Engineer (Hybrid)

Data Center Infrastructure Engineer

Cyber AI Data Engineer Senior Consultant

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