Senior Data Platform Engineer — Scalable Data & ML Pipelines (Remote)

tapouts; Mexico; On-site; PHP 7,435,000 - 11,152,000; Full time

Job summary

tapouts is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure powering analytics and AI initiatives. This hands‑on role suits someone who thrives in fast‑paced environments and thinks like a platform architect.

Responsibilities include building robust data pipelines, developing dashboards, and optimizing SQL queries. You will work with AWS, GCP, or Azure and engage in ML workflows while ensuring data quality and governance.

Qualifications

• 5+ years of experience in data engineering or a related field.
• Advanced English required.
• Strong proficiency in SQL, writing complex queries, optimizing performance, and data modeling.
• Strong proficiency in Python, building ETL/ELT pipelines, scripting, and automation.
• Experience with cloud platforms: AWS, GCP, or Azure.
• Hands-on experience with data orchestration tools (Apache Airflow, Prefect, or similar).
• Experience with big data frameworks (Apache Spark, Kafka, Flink, or similar).
• Familiarity with data warehousing solutions (Snowflake, BigQuery, Redshift, or similar).

Responsibilities

• Design, build, and maintain robust, scalable data pipelines (batch and real‑time/streaming).
• Design and develop dashboards that surface key business metrics and enable data‑driven decisions.
• Develop and optimize complex SQL queries, stored procedures, and data models.
• Write clean, production‑grade Python code for data ingestion, transformation, and automation.
• Build and manage cloud‑native data infrastructure on AWS, GCP, or Azure.
• Implement and maintain data lakehouse architectures (Delta Lake, Apache Iceberg).
• Support ML workflows including feature engineering, model training pipelines, and MLOps integration.
• Ensure data quality, governance, and lineage tracking across all data assets.
• Collaborate with data scientists and analysts to deliver trusted datasets.
• Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency.
• Contribute to internal data platform tools and frameworks.
• Apply data governance best practices and ensure privacy regulations compliance (GDPR, LGPD).

Skills

Advanced English

SQL proficiency

Python programming

Data modeling

Communication skills

Tools

Apache Airflow

Prefect

Snowflake

BigQuery

Redshift

Apache Spark

Kafka

Flink

Delta Lake

Apache Iceberg

Job description

tapouts is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure powering analytics and AI initiatives. This hands‑on role suits someone who thrives in fast‑paced environments and thinks like a platform architect.

Responsibilities include building robust data pipelines, developing dashboards, and optimizing SQL queries. You will work with AWS, GCP, or Azure and engage in ML workflows while ensuring data quality and governance.