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Senior Data Engineer (AWS)

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Senior Data Engineer (AWS)

AWS Data Engineer

Latin America | 100% Remote

About CodeRoad

CodeRoad provides end-to-end software developmentservices, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape

About the Role

We are looking for a Mid-to-Senior Data Engineer to architect, build, and operate cloud-native data pipelines on AWS. In this role, you will anchor the flow of data from diverse source systems—including relational databases, SaaS applications, and event streams—into a central Snowflake data platform modeled in dbt Cloud. You will be responsible for ensuring technical excellence across our data infrastructure by writing production-grade Python, utilizing modern AI coding assistants like GitHub Copilot and Claude, and managing infrastructure as code via Terraform.

This role is critical to shaping and defending our core data architecture, optimizing platform performance, and delivering curated, analytics-ready datasets for downstream BI and reporting. As a key contributor on a fully remote team, your autonomy, ownership mindset, and clear written communication will directly impact our ability to scale data solutions and maintain full historical accuracy using advanced dimensional modeling techniques.

Key Responsibilities

Design and own the architectural evolution of data pipelines and platform components, leading design reviews and defending technical decisions with evidence-based reasoning.
Build and maintain robust ingestion pipelines leveragingAWS DMS,Amazon AppFlow, andAmazon EventBridge to land data seamlessly intoAWS S3 andSnowflake.
Optimize and model analytics datasets withindbt Cloud, applying strict dimensional modeling (Kimball techniques) and implementing SCD Type 2 logic.
Lead performance tuning and cost optimization efforts across theSnowflake ecosystem, proactively implementing monitoring, alerting, and root-cause analysis.
Collaborate with cross-functional teams to prepare curated datasets forPower BI, while mentoring peers through rigorous code reviews and engineering enablement.

Requirements

Years of Experience: 5+ years of professional experience in Data Engineering roles.
Tech Stack: Proficiency withPython (includingAWS Lambda), advancedSQL,dbt Cloud,Snowflake,Terraform (IaC), andDocker.
Cloud Infrastructure: Deep hands-on experience with core AWS data services (S3, Glue, Athena, EventBridge, AppFlow, DMS).
Data Modeling: Solid grasp of dimensional modeling (star schemas, fact/dimension design) and practical implementation of SCD Type 2.
Soft Skills: High autonomy, ownership mindset, discipline to raise risks early, and comfort utilizing AI-assisted development tools (GitHub Copilot, Claude).
Language:Advanced English (written and spoken) is mandatory for seamless remote collaboration.

Nice to Have

AWS Certified Data Engineer – Associate (DEA-C01) or equivalent certification.
Experience with change-data-capture (CDC) and near-real-time ingestion patterns.
Exposure to workflow orchestration tools such asApache Airflow,Dagster, orPrefect.
Familiarity with data observability frameworks (Great Expectations,Monte Carlo) and open table formats likeApache Iceberg.