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Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. ?

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a integral network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role

We are looking for a Senior Data Engineer specializing in modern, cloud-native data platforms, with a strong focus on Amazon Web Services (AWS) and Python. You will be responsible for designing, building,



and optimizing highly scalable and reliable ETL/ELT pipelines and data warehouses that power analytics, machine learning, and business intelligence for our clients.

What we’re looking for

- 5+ years of professional experience in data engineering
- Expert proficiency in Python for data manipulation, scripting, and pipeline development (e.g., Pandas, PySpark).
- Deep hands‑on experience with the AWS cloud platform, specifically the core services used for data ingestion, storage, and processing (S3, Glue, Lambda, EMR).
- Proven experience working with modern data warehouses (Snowflake, Amazon Redshift, or Google BigQuery/Azure Synapse).
- Solid expertise in SQL and complex query writing/optimization.
- Strong understanding of containerization and orchestration concepts (Docker, Kubernetes).

Nice-to-have

- Experience with Infrastructure as Code (Terraform or Clou

📌 Senior Data Engineer (AWS & Python) (Ciudad de México)
🏢 Proxify
📍 Ciudad de México