Senior Data Engineering Services

Summary

Join our team as a Senior-Level Data Engineering Contractor based in Mexico or Argentina! Collaborate with app developers and stakeholders to design, build, and maintain data systems and pipelines. Contribute to initiatives, develop documentation, and participate in technical discussions. You will build and maintain data pipelines and DAG tooling, and establish a data catalog. This contract role requires at least 5 years of experience in data engineering or a related field and strong proficiency in SQL, Python, and relational databases. The role offers remote work flexibility.

Requirements

• At least 5 years of experience in data engineering, software engineering, or a related field
• Strong proficiency in SQL, Python, and relational datastores (columnar and row databases)
• Proficiency in building and maintaining data pipelines and DAG tooling (Dagster, Airflow, etc)
• Experience with event-based pipelines and CDC tooling
• Experience in managing data migrations in relational datastores
• Experience in optimizing SQL query performance
• Experience with data testing strategies to ensure resulting datastores align with expected business logic
• Experience with DBT orchestration and best practices
• Experience with enabling monitoring, health checks and alerting on data systems and pipelines
• Experience establishing and maintaining a data catalog with business-related metadata
• Experience building tools and automation to run data infrastructure

Responsibilities

• Work alongside app developers and data stakeholders to create data system changes and to respond to data inquiries
• Contribute to initiatives and assist in problem definition scoping, design, and planning through epics and blueprints
• Utilize your domain knowledge to develop documentation, participate in technical presentations, discussions, and incident reviews
• Build and maintain data pipelines and DAG tooling
• Establish and maintain a data catalog with business-related metadata

Preferred Qualifications

• Experience with writing and maintaining cloud-based infrastructure for data pipelines (AWS, GCP and Terraform)
• Experience in document, graph or schema-less datastores

Benefits

Remote work