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, Hub Spot, SAP, Net Suite, 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, Open Search, 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 Cloud Watch, Cloud Trail, data governance, security, and compliance practices.

Familiarity with Terraform or Cloud Formation.

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

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