Senior Data Engineer (Databricks) - Remote & Flexible Hours

BairesDev; United States; Remote; MXN 1,677,000 - 2,608,000; Full time

Benefits offered by this job

100% remote

Competitive USD salary

Home office setup

Job summary

BairesDev is seeking a Senior Data Engineer (Databricks) to design and optimize scalable data pipelines and lakehouse models. You will act as a technical anchor to drive analytics and operational excellence across datasets and environments.

Responsibilities include building ETL/ELT pipelines, modeling data, orchestrating workflows with Airflow, and applying dbt/SQL to produce clean, production-ready data products. Excellent English required for global collaboration.

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in designing and optimizing data pipelines in Databricks lakehouse environments.
• Proficiency in orchestrating complex workflows using Apache Airflow.
• Hands-on experience with data transformation and modeling using dbt and SQL.
• Strong background in building scalable and maintainable analytics-ready datasets.
• Advanced proficiency in English.

Responsibilities

• Architect and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark for high-throughput data processing.
• Design and implement durable data models and schemas within a Medallion Architecture (Bronze, Silver, Gold layers).
• Orchestrate complex data workflows and manage task dependencies using Airflow to ensure data freshness and reliability.
• Leverage dbt and SQL to transform raw datasets into clean, well-documented, and production-ready data products.
• Optimize pipeline performance and compute resource usage through effective partitioning, caching, and query tuning.
• Implement data quality checks and automated testing standards to ensure the integrity and governance of the data lakehouse.

Skills

Databricks

Apache Airflow

dbt

SQL

Data pipelines

English

Tools

Databricks

Apache Spark

Airflow

dbt

SQL

Job description

BairesDev is seeking a Senior Data Engineer (Databricks) to design and optimize scalable data pipelines and lakehouse models. You will act as a technical anchor to drive analytics and operational excellence across datasets and environments.

Responsibilities include building ETL/ELT pipelines, modeling data, orchestrating workflows with Airflow, and applying dbt/SQL to produce clean, production-ready data products. Excellent English required for global collaboration.