Senior Data Engineer

In All Media

. Design, model, and maintain complex data structures across MS SQL Server and MongoDB .

Posted 9/22/2026full-timeRemote • Brazil, Peru, Mexico, Ecuador, Costa RicaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining complex data structures using MS SQL Server and MongoDB, with a strong focus on data quality, performance tuning, and automated pipeline deployments. Proficient in collaborating with diverse teams and applying agile methodologies to deliver high-quality production software solutions.

Highest-signal resume keywords

MS SQL Server Schema DesignMongoDB Document ModelingData Pipeline DevelopmentAutomated Pipeline DeploymentTest Automation Strategies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Complex Query WritingStored Procedure DevelopmentIndexing and Query Performance TuningData ModelingData Quality AnalysisREST APIsJSONGit/GitHubPythonData Quality Frameworks

Soft Skills

Strong Verbal CommunicationStrong Written Communication

Tools & Technologies

Azure Data FactoryMicrosoft Fabric

Certifications & Qualifications

BS in Computer Science

Industry Keywords

Data ScienceData EngineeringAgile MethodsContinuous DeliveryProduction Software

Tech Stack

Tools & technologies

AzureMongoDBMS SQL ServerNoSQLPythonSQL

About the role

Key responsibilities & impact

Design, model, and maintain complex data structures across MS SQL Server and MongoDB
Resolve data quality issues
Write complex queries and develop stored procedures
Perform indexing and query performance tuning
Execute automated pipeline deployments and migrate schemas into production
Apply agile methods and continuous delivery concepts
Build and maintain secure, high-performing data pipelines and APIs using REST and JSON
Drive test strategies and test automation
Ship, maintain, and troubleshoot production software products
Collaborate with diverse teams on international client projects
Participate in ceremonies, stand-ups, and collaborative sessions aligned with Central Time

Requirements

What you’ll need

BS in Computer Science
Minimum of 5+ years of experience delivering production solutions
Minimum of 5+ years working in Data Science or Data Engineering
Strong production experience with MS SQL Server, including schema design, complex query writing, stored procedure development, indexing, and query performance tuning
Hands-on MongoDB experience, including document modeling and integrating NoSQL systems with relational databases
Experience modeling data across diverse systems, analyzing schemas, and resolving data quality issues
Experience with Git/GitHub and automated pipeline deployment
Experience with database modeling, pipelines, and APIs, including security, testing, performance, JSON, and REST
Passion for shipping and maintaining production software products
Strong verbal and written communication skills for daily technical collaboration and documentation
Fluent English
Consistent overlap with Central Time (CT) and availability during standard Austin business hours
Preferred: experience with Azure Data Factory and Microsoft Fabric
Preferred: working proficiency in Python
Preferred: experience with data quality frameworks, test strategy, and test automation

Benefits

Comp & perks

Remote work from LATAM
Full-time contractor arrangement
Time zone flexibility to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours