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

Professional Staffing Services

Data Engineer

Orlando, FL · Hybrid

$50 - $65/hr

Implement and manage event-based and streaming technologies for real-time data ingestion and ... Database Programming & Reverse Engineering: Write advanced SQL queries and stored procedures while ...

Stellar IT Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer Location: Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month ... Integrate and manage data flows between Epic Clarity , Snowflake , and Azure environments. * Modify ...

ONE ALLIANCE INSURANCE MANAGERS INC

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The Data Engineer will play a critical role within the Information Technology organization ... Guidewire Data Warehouse Management: Continue to support and enhance the Guidewire Enterprise Data ...

Kanak Elite Services Inc

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

Ability to build data models and manage data warehouses. * 3 years of related data engineering/IT experience. * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala ...

Pwc

Data Engineer - Senior Manager

Orlando, FL · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

AAA, Inc.

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$92K - $116K/hr

Load, manage, validate, and perform quality assurance activities on data from AAA clubs and third ... Collaborate with a team of data engineers to support business initiatives and data-driven decision ...

AAA National

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$90K - $115K/yr

Load, manage, validate, and perform quality assurance activities on data from AAA clubs and third ... Collaborate with a team of data engineers to support business initiatives and data-driven decision ...

Versant Media

Data Engineer II

Orlando, FL

$106K - $128K/yr

The Opportunity As a Data Engineer II , you will help build, maintain, and enhance the data ... Ability to independently manage assigned work while seeking input and collaborating on more complex ...

New

Brooksource

Data Engineer

Lake Mary, FL · On-site

$55 - $65/hr

... Management (preferred) • Exposure to additional SAP modules is a plus • Ability to work ... As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations ...

Serco USA

Data Engineer- Orlando, FL

Orlando, FL · On-site

$106K - $128K/yr

The selected candidate will manage Modeling and Simulation (M&S) authoritative data services and ... The Serco Data Engineer will assist Government program managers with obtaining data and models from ...

SmartIPlace

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

Title: Sr. Data Engineer Duration: 12+ month Contract - Hybrid (3 days on site) Location: Orlando ... years of experience managing and deploying code with source control tools (e.g., Git-based ...

Foundation Partners

Senior Data Engineer

Orlando, FL · On-site

$99K - $134K/yr

Manage and optimize large-scale data warehouse environments with a focus on performance, cost, and ... Collaboration and Engineering Excellence * Partner with data analysts, BI developers, software ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Orlando, FL

Data Engineer Manager information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do data engineer manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer manager 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 does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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 Data Engineer Manager jobs in Orlando, FL?

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

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

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

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

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

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Orlando, FL as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $121,092 per year, or $58.2 per hour.

Data Engineer

Professional Staffing Services

Orlando, FL • Hybrid

$50 - $65/hr

Contractor

Posted 6 days ago

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).

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