Database Application Engineer

In All Media

. Design, modify, and optimize data models for production applications .

Posted 10/23/2026full-timeRemote • Brazil, Argentina, Ecuador, PeruSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in database engineering and application data architecture, with a strong focus on Microsoft SQL Server and MongoDB. Proven ability to design and optimize data models, support API integrations, and collaborate effectively with development teams.

Highest-signal resume keywords

Microsoft SQL ServerT-SQLMongoDBDatabase EngineeringAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Database Layer DesignStored ProceduresIndexingQuery Execution PlansPerformance TuningData Model OptimizationDatabase Schema ChangesData PipelinesPython ScriptingJavaScript

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

MS SQL ServerMongoDBAzure Data FactoryMicrosoft FabricNode.js

Certifications & Qualifications

MCSA: SQL 2016 Database DevelopmentDP-300

Industry Keywords

Web Application ArchitectureBackend DevelopmentData SolutionsLegacy Frontend DevelopmentCentral Time Collaboration

Tech Stack

Tools & technologies

AngularAzureJavaScriptMongoDBMS SQL ServerNode.jsPythonSQL

About the role

Key responsibilities & impact

Design, modify, and optimize data models for production applications
Create and manage complex relational tables in MS SQL Server and document structures in MongoDB
Write, tune, and troubleshoot complex SQL Server queries, stored procedures, functions, and indexing strategies
Support API integration by ensuring secure and efficient database reads and writes
Plan and execute database schema changes safely within a live, mature application ecosystem
Collaborate with backend and legacy frontend developers on data solutions supporting new features and existing integrations
Bridge database infrastructure and application development teams
Ensure data models are optimized, secure, scalable, and suitable for continuous delivery

Requirements

What you’ll need

8+ years of hands-on experience in database engineering, application data architecture, or backend development with a heavy emphasis on database layer design
Deep expertise in Microsoft SQL Server, including T-SQL, stored procedures, indexing, query execution plans, and performance tuning
Proven experience with document-based databases, specifically MongoDB
Strong comprehension of web application architecture, API integrations, and backend/database interactions
Demonstrated ability to work within mature, established codebases and conservative technology stacks
Microsoft SQL Server certifications are highly regarded, including MCSA: SQL 2016 Database Development, DP-300, or legacy equivalents
Understanding of older web frameworks such as early Angular and Backbone
Experience in roles such as Database Developer, Backend Engineer (DB heavy), or Application DBA
Experience with Azure Data Factory or Microsoft Fabric is a plus
Experience supporting broader data pipelines is a plus
Working knowledge of Python for scripting, automation, or limited pipeline support is a plus
Experience with JavaScript, Node.js, or Joi is a plus
Ability to collaborate with teams aligned to Central Time (CT), USA
Must overlap at least 4–5 hours daily with US-based stakeholders

Benefits

Comp & perks

Remote work
Collaboration with distributed teams across LATAM
Work on high-scale platforms and impactful digital solutions
Long-term technical expertise, product innovation, and team augmentation projects