Data Integration Engineer

• 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.

• 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.

• 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.

• 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 ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team atcompliance@aptask.com.

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com)Terms of Use andPrivacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.