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AWS Data Engineer

Data Engineer Full-time Permanent Argentina, Mexico

Job details

Not specified Salary
Argentina, Mexico Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Join a small data team (you'd be the fourth engineer) building the AWS data foundation that supports hyperscale infrastructure for AI data centers and mission-critical facilities. The work centers on an AWS-based data lakehouse ingesting high-volume industrial and time-series telemetry, helping scale ingestion and analytics for gigawatt-class deployments. No prior energy-sector experience is required.

Responsibilities - Build and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion. - Evolve the data lakehouse, optimizing storage layout, performance, cost, and data consistency. - Manage orchestration workflows with complex dependencies and error handling. - Deliver production-ready, analytics-optimized datasets, working directly with end users to understand consumption patterns. - Implement data governance, security controls, and audit policies across the AWS ecosystem. - Build monitoring, alerting, and data quality testing to keep the platform reliable.

Requirements - Bachelor's degree in Computer Science, Computer Engineering, or a closely related discipline. - 3+ years of hands-on data engineering on AWS with exposure to modern data lakehouse architectures. - English at B2 or above for daily collaboration and written documentation. - Production experience with open table formats, preferably Apache Iceberg (table design, partitioning, schema evolution). - Core AWS data services: Glue, Athena, Lambda, and S3. - Strong Python (PySpark/Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning). - Infrastructure as Code with Terraform or CloudFormation.

Nice to have - Experience with Step Functions, Kinesis, Lake Formation, or DynamoDB. - Custom ETL using boto3, pyiceberg, or pyarrow. - CI/CD pipelines for Glue or Lambda. - Prior work with time-series, IoT, or telemetry data at scale.

Benefits and work setup - For US-based candidates: competitive salary with annual performance bonus eligibility, medical/dental/vision insurance, 401(k) with company match, paid time off, and company holidays. - For Mexico-based candidates: competitive salary with annual performance bonus, 30-day Christmas bonus (Aguinaldo), major medical expense and life insurance, paid time off and holidays per local policy. - Professional development opportunities and a mission-driven team environment. Benefits vary by role and location.

Skills detected in the listing

PythonSQLData EngineeringAWSTerraform
Detected Sep 11, 2026
Last verified Sep 11, 2026

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