Req 26-03402 · Hybrid · Full-time
Data Integration Engineer
Hybrid full-time role in Toluca, Mexico. Compensation is discussed at interview. An ApTask vertical recruiter manages your submission on this live client requisition.
- Requisition
- 26-03402
- Location
- Toluca, Mexico
- Type
- Hybrid · Full-time
- Compensation
- Compensation discussed at interview
- Posted
- Today (as of Oct 13, 2026, 5:36 PM EDT)
Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.
About the role
Role: Data Integration Engineer Experience: 5–7 years Location: Toluca, Mexico
Job Summary We are looking for an experienced Data Integration Engineer with strong expertise in AWS cloud services, REST API development, event-driven architecture, and enterprise system integration. The ideal candidate will design, develop, deploy, and maintain secure, scalable, and reliable data and application integration solutions connecting cloud services, legacy systems, databases, and external platforms. Key Responsibilities
Design, develop, and maintain scalable data and application integration solutions.
Build secure and reusable REST APIs and integration services.
Implement event-driven architectures using Amazon SNS, Amazon SQS, and Amazon EventBridge.
Develop serverless workflows using AWS Lambda and AWS Step Functions.
Deploy and support containerized integration workloads using Amazon ECS.
Design secure, scalable, and cost-effective object storage solutions using Amazon S3.
Integrate cloud-based services with legacy systems, enterprise applications, databases, and external platforms.
Develop logical and physical data models and select appropriate storage strategies.
Implement data validation, transformation, enrichment, routing, retry, error-handling, and reconciliation mechanisms.
Ensure data quality, integrity, lineage, encryption, and secure access across integration workflows.
Develop automated tests and support CI/CD pipelines for deployment.
Implement logging, monitoring, tracing, alerting, and operational dashboards.
Troubleshoot API failures, event-processing issues, data discrepancies, and legacy-system integration challenges.
Maintain API specifications, data mappings, integration diagrams, operational runbooks, and technical documentation. Mandatory Skills
5–7 years of experience in data engineering, integration engineering, backend development, or cloud integration.
Hands-on experience with AWS services:
Amazon ECS
AWS Lambda
AWS Step Functions
Amazon S3
Strong experience in REST API development, including API design, versioning, authentication, validation, and error handling.
Experience with event-driven integration using Amazon SNS, Amazon SQS, or Amazon EventBridge.
Experience integrating legacy systems with modern cloud-based services.
Strong understanding of data modeling and storage strategy selection.
Knowledge of synchronous and asynchronous integration patterns.
Understanding of data security, encryption, access control, and data quality.
Experience with automated testing and CI/CD deployment pipelines.
Strong troubleshooting, documentation, and cross-functional collaboration skills. Good-to-Have Skills
Python, FastAPI, or another modern backend development framework.
Knowledge of relational databases, NoSQL databases, object storage, and analytical data platforms.
Experience with schema management, event contracts, idempotency, dead-letter queues, and event replay mechanisms.
Familiarity with Terraform, Docker, Kubernetes, and AWS monitoring services.
Relevant AWS certifications in development, data engineering, or solutions architecture.
Spanish and English communication skills.
About operations at ApTask
Operations roles at ApTask cover program management, PMO, business analysis, transformation, and change-management positions across enterprise clients. We place operators who translate strategy into delivery — PMPs, Scrum Masters, agile coaches, Six Sigma black belts, and change-management practitioners certified in Prosci or the client's preferred framework. Candidates are validated against the specific enterprise tooling the client runs (ServiceNow, Jira Portfolio, Clarity, Planview) and their prior track record in comparable-scale programs, not generic delivery experience.
What happens after you apply.
1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you're hired directly by the client and join their payroll and benefits. Your recruiter stays your point of contact through onboarding.
Ready to apply? Two minutes, one profile.
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