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Remote Database Developer Jobs in Orlando, FL (NOW HIRING)

Hillpointe

Full Stack Developer

Winter Park, FL · Remote

Schema to UI: Database design, API contracts, frontend components, infrastructure. No tier is off ... Remote state in Azure Storage with locking, drift detection in pipelines. Qualifications:

Hillpointe

Full Stack Developer

Winter Park, FL · Remote

Schema to UI: Database design, API contracts, frontend components, infrastructure. No tier is off ... Remote state in Azure Storage with locking, drift detection in pipelines. Qualifications:

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All JobsDatabase Developer JobsRemote Database Developer JobsRemote Database Developer Jobs in Orlando, FL

Remote Database Developer information

See Orlando, FL salary details

$24

$49

$75

How much do remote database developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote database developer in Orlando, FL is $49.59, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $56.11 per hour, depending on experience, location, and employer.

What does a remote database developer do?

A database developer or programmer creates and implements computer databases that store and maintain an entity’s data information. You work with clients to identify the best database management software and test the application or program for performance and efficiency. Your responsibilities include designing information systems to meet the needs of the client, testing product performance, performing data analysis, and developing documentation from your analysis. In some cases, you may also train or teach other developers or client teams. As a remote developer, you may complete your duties on your own or as part of a remote team for a corporate client or employer.

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

To thrive as a Remote Database Developer, you need strong expertise in database design, SQL programming, and data modeling, usually supported by a degree in computer science or a related field. Familiarity with database management systems like MySQL, PostgreSQL, or Microsoft SQL Server, and certifications such as Microsoft Certified: Azure Database Administrator Associate, are highly valuable. Excellent problem-solving, communication, and self-management skills help you collaborate effectively and deliver solutions in a remote environment. These skills ensure secure, efficient, and reliable database solutions that meet organizational needs while supporting independent work and remote teamwork.

What is the difference between Remote Database Developer vs Remote Data Analyst?

AspectRemote Database DeveloperRemote Data Analyst
Required CredentialsBachelor's in Computer Science or related field, SQL certificationsBachelor's in Statistics, Data Science, or related field, SQL and data analysis certifications
Work EnvironmentDeveloping, maintaining, and optimizing databases remotelyAnalyzing data sets, creating reports, and providing insights remotely
Employer & Industry UsageTech companies, finance, healthcare, e-commerce

Remote Database Developers focus on designing and managing databases, requiring technical skills and certifications. Remote Data Analysts interpret data to support business decisions. While both roles often work remotely and require SQL knowledge, their core responsibilities differ: development vs analysis.

What is a remote database developer?

A Remote Database Developer is a technology professional who designs, creates, and maintains database systems while working from a remote location, rather than in a traditional office setting. Their responsibilities include developing database structures, optimizing queries, ensuring data integrity, and implementing security measures. They often collaborate with software developers and IT teams to ensure databases are efficient and meet organizational requirements. Remote work allows them to perform these tasks using cloud-based tools and secure connections, providing flexibility for both employers and employees.

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

Remote database developers often encounter challenges such as coordinating with distributed teams, managing secure access to sensitive data, and troubleshooting issues without on-site support. To overcome these, it's important to establish clear communication channels, use secure VPNs and authentication protocols, and leverage collaborative tools like version control and ticketing systems. Regular check-ins and thorough documentation also help ensure everyone stays aligned and project progress remains smooth.
More about Remote Database Developer jobs
What are popular job titles related to Remote Database Developer jobs in Orlando, FL? For Remote Database Developer jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Remote Database Developer jobs in Orlando, FL look for? The top searched job categories for Remote Database Developer jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Database Developer jobs? Cities near Orlando, FL with the most Remote Database Developer job openings:
Remote Database Developer jobs near you
Infographic showing various Remote Database Developer job openings in Orlando, FL as of August 2026, with employment types broken down into 54% Full Time, 8% Temporary, and 38% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,143 per year, or $49.6 per hour.

Senior Data Engineer ID75059

AgileEngine

Orlando, FL • On-site, Remote

$99K - $134K/yr

Full-time

Re-posted 4 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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