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Database Development Manager Jobs in Orlando, FL

Data Engineer.

Orlando, FL ยท On-site

$106K - $128K/yr

AWS architecture. * 2+ years of experience in data modeling/database development using PL/SQL and ... Ability to build data models and manage data warehouses. * 3 years of related data engineering/IT ...

... Management Agency (FEMA) projects throughout the Mid-Atlantic, Midwest, and Northeast U.S. regions ... Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ...

Comfort and experience working with a donor or constituent relationship management databases such ... Development Director I Are you ready to unleash YOUR potential? As a next-generation public ...

Showing results 21-40

Database Development Manager information

See Orlando, FL salary details

$28.9K

$90.7K

$160.6K

How much do database development manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for database development manager in Orlando, FL is $90,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $117,200.00 per year, depending on experience, location, and employer.

What does a database development manager do?

A Database Development Manager oversees the design, development, and maintenance of an organization's databases. They lead teams of database developers and administrators, ensuring data is stored efficiently, securely, and is easily accessible when needed. Their role includes project management, setting best practices, optimizing database performance, and collaborating with other IT and business departments to meet organizational goals. Additionally, they are responsible for ensuring data integrity and compliance with relevant regulations.

What are the key skills and qualifications needed to thrive as a database development manager, and why are they important?

A Database Development Manager needs advanced knowledge of database design, SQL, data modeling, and a degree in computer science or related field, often supported by management experience. Familiarity with database management systems like SQL Server, Oracle, and tools such as ETL platforms, as well as certifications like Microsoft Certified: Azure Database Administrator Associate, are commonly required. Excellent leadership, communication, and problem-solving skills help drive project success and foster effective collaboration with cross-functional teams. These competencies ensure robust, scalable database solutions that meet organizational needs and support business objectives.

What are some common challenges faced by database development managers, and how can they be addressed?

Database Development Managers often encounter challenges such as balancing project deadlines with the need for data security and system performance. They must also manage cross-functional teams, ensuring clear communication between developers, analysts, and IT staff. Proactively addressing these challenges involves implementing agile methodologies, fostering regular team collaboration, and keeping up with emerging database technologies. Additionally, setting clear expectations and providing ongoing training can help the team adapt to evolving business requirements.

What is the difference between Database Development Manager vs Database Administrator?

AspectDatabase Development ManagerDatabase Administrator
Primary FocusOversees database development, design, and implementation projectsMaintains, secures, and optimizes existing databases
Required SkillsDatabase design, project management, leadershipDatabase management, troubleshooting, security
CertificationsSQL, Oracle, Microsoft Certified: Data ManagementOracle DBA, Microsoft Certified: Azure Database Administrator
Work EnvironmentDevelopment teams, project planningIT operations, support teams

The Database Development Manager primarily leads database projects, focusing on design and development, while the Database Administrator manages and maintains existing databases to ensure performance and security. Both roles require strong SQL skills and relevant certifications, but their daily responsibilities and focus areas differ significantly.

What are popular job titles related to Database Development Manager jobs in Orlando, FL? For Database Development Manager jobs in Orlando, FL, the most frequently searched job titles are:
What cities near Orlando, FL are hiring for Database Development Manager jobs? Cities near Orlando, FL with the most Database Development Manager job openings:
Infographic showing various Database Development Manager job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $90,686 per year, or $43.6 per hour.

Data Engineer.

Kanak Elite Services Inc

Orlando, FL โ€ข On-site

$106K - $128K/yr

Contractor

Re-posted 4 days ago


Job description

Hello There,

Wish you a Happy Friday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

POSITION      :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 building data pipelines and ETL flows in Cloud and on-premise environments using Snowpipe, Informatica, Airflow, Kafka etc.
  • AWS architecture.
  • 2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake.
  • Bachelor’s degree in computer and information science required.
  • Master’s degree preferred.
  • Snowflake and Python certification preferred but not required.

Position Type:

  • Contract
  • Hybrid - Monday, Tuesday, Wednesday in office, Thursday and Friday WFH

Required:

  • Bachelor’s degree in computer and information science required.
  • Master’s degree preferred.
  • Snowflake and Python certification preferred but not required.
  • 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, Python and AWS architecture.
  • 1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net and experience in designing, developing and deploying Windows & Web applications.
  • 2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake.
  • 1+ years of proven experience building data pipelines and ETL flows in Cloud and on-premise environments using Snowpipe, Informatica, Airflow, Kafka etc.
  • Excellent listening, interpersonal, communication (written & verbal) and problem-solving skills.
  • Ability to collect and compile relevant data.
  • Extremely organized with great attention to detail.
  • Excellent ability to analyze information and think systematically.
  • Strong business analysis skills.
  • A strong team player with some ability to work independently.
  • Good understanding of the company’s business processes and the industry at large.
  • Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing data pipelines and data sets leveraging various scripting languages or ETL tools.
  • Ability to perform root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement.
  • Good analytic skills related to working with unstructured datasets.
  • Ability to build and use APIs to push and pull data from various data systems and platforms.
  • Build processes supporting data extraction, transformation, and loading of data into data structures.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets. 

Responsibilities:

  • Partner with a wide range of business teams to implement analytical and data solutions that drive business value and customer satisfaction.
  • Collecting, storing, processing, analyzing, modeling large sets of data and building applications and solutions using data.
  • Primary focus will be on building, maintaining, implementing, monitoring, supporting and integrating analytical and data solutions with the architecture used across the company.
  • Maintain and monitor our analytics data warehouses and data platform.
  • Design, Implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates.
  • Responsible for hands-on development, deployment, maintenance and support of variety of Cloud and on-premise Solutions, web service infrastructure and supporting technologies.
  • Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
  • Works closely with project managers, business analysts, data scientists and other groups in the organization to understand and translate functional requirements and processes into technical specifications.
  • Collaborate with key stakeholders to make sure our data infrastructure meets our business needs in a scalable way.
  • Keep a critical eye on our technical strategy, identify gaps, and come up with creative solutions.