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Data Management Engineer Jobs in Florida (NOW HIRING)

Data Management Engineer - OpenText

Miami, FL · On-site

$109K - $131K/yr

Work you'll do As a Data Management Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. * Manage day-to-day ...

Data Management Engineer - OpenText

Tampa, FL · On-site

$108K - $129K/yr

Work you'll do As a Data Management Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. * Manage day-to-day ...

Data Engineer | TS/SCI Required

Tampa, FL

$108K - $129K/yr

Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will be responsible for: Supporting the build-out of an in-production unclassified system operating on a ...

Sellers & Associates, LLC (S&A) is seeking a Data Management/Manager Subject Matter Expert (SME) to ... Our specialties include Program/Engineering Management, Training/Training Technology, Technology ...

Data Engineer | TS/SCI Required

Tampa, FL

$108K - $129K/yr

Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will be responsible for: • Supporting the build-out of an in-production unclassified system operating on ...

... Engineers, Data Governance and Data Quality Leads, IT Business System Analysts, and other Data Management Analysts. You should also be able to work independently with the appropriate initiative ...

Coordinate with engineering, finance, and project management to collect inputs and ensure technical ... Coordinate and flow down data requirements to subcontractors, ensuring their inputs are integrated ...

Data Layer Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Layer Engineer Base-2 Solutions is seeking a Data Layer Engineer to support USSOUTHCOM J26 ... Manage cloud storage solutions such as AWS S3, Azure Blob, and Google Cloud Storage. * Support ...

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Showing results 1-20

Data Management Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data management engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data management engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data management, but data engineers are essential for designing, building, and maintaining data pipelines and infrastructure. Their expertise in data architecture, coding, and tools like SQL and cloud platforms remains critical, as AI tools typically support rather than replace these roles.

What are the key skills and qualifications needed to thrive as a Data Management Engineer, and why are they important?

To thrive as a Data Management Engineer, you need strong expertise in data modeling, database design, and data governance, typically supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, data warehousing platforms, and certifications like CDMP or AWS Certified Data Analytics are often required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills that set top performers apart. These skills and qualifications ensure data integrity, enable efficient data processing, and support the organization's ability to make data-driven decisions.

What engineers make $500,000?

Senior engineers in fields such as software, data, and electrical engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or executive positions.

What are Data Management Engineers?

Data Management Engineers are professionals responsible for designing, implementing, and maintaining systems that manage and organize data within an organization. They ensure data is stored securely, is easily accessible, and meets quality standards. Their work often involves database management, data integration, data migration, and implementing data governance policies. These engineers collaborate with data analysts, data scientists, and IT teams to support business data needs and ensure data reliability.

What is the difference between Data Management Engineer vs Data Analyst?

AspectData Management EngineerData Analyst
Primary FocusDesigning, implementing, and maintaining data systems and pipelinesAnalyzing data to generate insights and reports
Skills & CertificationsDatabase management, SQL, data warehousing, ETL toolsData visualization, statistical analysis, SQL, Excel
Work EnvironmentData engineering teams, IT departments, cloud platformsBusiness units, marketing, finance teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, sales, finance, business intelligence

While both roles work with data, Data Management Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to support decision-making. They often collaborate but serve different functions within organizations.

What does a data management engineer do?

A data management engineer designs, implements, and maintains systems for storing, organizing, and processing large volumes of data. They work with database technologies, data pipelines, and tools like SQL and cloud platforms to ensure data quality, security, and accessibility for analysis and decision-making.

How does a Data Management Engineer typically interact with data scientists and analysts within an organization?

Data Management Engineers play a critical role in ensuring that data scientists and analysts have access to clean, reliable, and well-organized data. They collaborate closely with these teams to understand data requirements, build data pipelines, and implement data governance protocols. By facilitating efficient data access and resolving data quality issues, Data Management Engineers enable analytical teams to focus on extracting insights rather than handling data wrangling tasks. Regular communication and cross-functional meetings are common, fostering a collaborative environment aimed at maximizing data value across the organization.

Are data engineers highly paid?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but they are generally among the better-paid roles in the tech field.
What job categories do people searching Data Management Engineer jobs in Florida look for? The top searched job categories for Data Management Engineer jobs in Florida are:
Infographic showing various Data Management Engineer job openings in Florida as of June 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
Data Management Engineer - OpenText

Data Management Engineer - OpenText

Deloitte

Miami, FL • On-site

$109K - $131K/yr

Other

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


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 06/17/2026.

Work you'll do

As a Data Management Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

  • Manage day-to-day interactions with executive clients, stakeholders, and sponsors
  • Deliver components of client engagements focused on identifying, designing, and implementing technology and business solutions
  • Lead workstreams involving business requirements, functional design, process design, prototyping, testing, training, and support procedures
  • Develop project scope, schedules, resource plans, and deliverables; monitor progress and implement corrective actions as needed
  • Manage project changes, risks, assumptions, constraints, and stakeholder communications throughout the engagement lifecycle

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years techno-functional experience with content and customer communications management solutions
  • 2+ years hands-on experience implementing OpenText Communications (Exstream; version 16.6 or above) for customer communications management and document generation, migrating from StreamServe or another legacy customer communications management platform, and working with OpenText Exstream Cloud Native architecture, deployment, and template development
  • Bachelor's degree
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with OpenText integration solutions supporting platforms such as Microsoft 365, SAP, Salesforce, Workday, Oracle E-Business Suite, and SAP SuccessFactors
  • Experience with OpenText Magellan, OpenText Analytics Cloud, or comparable content analytics and artificial intelligence-enabled insight platforms
  • Consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 06/17/2026.

Work you'll do

As a Data Management Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

  • Manage day-to-day interactions with executive clients, stakeholders, and sponsors
  • Deliver components of client engagements focused on identifying, designing, and implementing technology and business solutions
  • Lead workstreams involving business requirements, functional design, process design, prototyping, testing, training, and support procedures
  • Develop project scope, schedules, resource plans, and deliverables; monitor progress and implement corrective actions as needed
  • Manage project changes, risks, assumptions, constraints, and stakeholder communications throughout the engagement lifecycle

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years techno-functional experience with content and customer communications management solutions
  • 2+ years hands-on experience implementing OpenText Communications (Exstream; version 16.6 or above) for customer communications management and document generation, migrating from StreamServe or another legacy customer communications management platform, and working with OpenText Exstream Cloud Native architecture, deployment, and template development
  • Bachelor's degree
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with OpenText integration solutions supporting platforms such as Microsoft 365, SAP, Salesforce, Workday, Oracle E-Business Suite, and SAP SuccessFactors
  • Experience with OpenText Magellan, OpenText Analytics Cloud, or comparable content analytics and artificial intelligence-enabled insight platforms
  • Consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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