Data Engineer

- Location: Argentina — Remot

- Type: Full-time, long-term contractor

- Eligibility: This opportunity is open exclusively to candidates based in Argentina.

About the Company

Our client is a leading cloud-first consulting company delivering Managed Services, Staffing, and Professional Services. With a remote-first general team across North America, Europe, and Southeast Asia, the company helps organizations embrace cloud technologies through innovative, customer-focused solutions.

The organization values collaboration, agility, innovation, integrity, diversity and inclusion, and offers an environment where talented professionals can work on meaningful, cutting-edge initiatives.

About the Role

Our client is looking to hire a highly skilled Data Engineer to design, build, and operate scalable AWS data platforms supporting analytics, batch and streaming pipelines, and AI/ML workloads.

This role requires strong hands-on AWS and Python expertise, as well as the ability to build reliable data systems, integrate enterprise platforms, and improve data accessibility, governance, and quality across the organization.

What You’ll Do

- Design, build, and maintain scalable AWS data platforms aligned with AWS Well-Architected best practices.

- Develop and operate batch and streaming data pipelines for analytics and AI/ML use cases.

- Build ingestion, transformation, enrichment, and normalization workflows using internal systems and external APIs.

- Work with structured, semi-structured, unstructured, and graph data.

- Design and maintain data models, including normalized, denormalized, and graph-based models.





- Build and maintain knowledge graphs that enable advanced analytics and inference.

- Integrate data from CRM and ERP platforms such as Salesforce, HubSpot, SAP, NetSuite, Dynamics 365, and Workday.

- Establish data governance practices around cataloging, lineage, access control, encryption, and auditability.

- Implement data-quality, observability, and monitoring processes for freshness, completeness, and pipeline health.

- Optimize data architecture for cost and performance through partitioning, indexing, compression, and storage tiering.

- Create internal tools, dashboards, and technical documentation to improve visibility and maintainability.

What We’re Looking For

- 4+ years of experience designing and operating AWS data platforms.

- Strong hands-on experience with AWS services such as S3, Glue, Lake Formation, Athena, Redshift, EMR, Kinesis/MSK, DynamoDB, OpenSearch, and Neptune.

- Strong Python skills, with an emphasis on modular, testable, and maintainable code.

- Advanced SQL skills, including CTEs, window functions, and query optimization.

- Experience with ETL/ELT, data warehouses, lakehouse architectures, and analytical query engines.

- Experience with Spark, Hadoop, Hive, and/or Flink.

- Strong understanding of distributed data systems, event-driven architectures, fault tolerance, and idempotency.

- Experience with API integrations and enterprise CRM/ERP systems.

- Experience with CloudWatch, CloudTrail, data governance, security, and compliance practices.

- Familiarity with Terraform or CloudFormation.

- Advanced English communication skills and the ability to explain technical trade-offs to technical and non-technical stakeholders.

📌 Data Engineer (Buenos Aires)
🏢 Empresa líder
📍 Buenos Aires