Senior Spark Data Engineer — Remote & Flexible Hours

BairesDev; México; Remote; MXN 1,306,000 - 2,052,000; Full time

Benefits offered by this job

Remote work

USD salary

Hardware & software provided

Flexible hours

Parental leaves & vacations

Multicultural global team

Job summary

BairesDev is seeking a Spark Data Engineer to design and optimize robust data pipelines for large-scale datasets, connecting raw data sources with analytical platforms and ensuring high performance across the organization’s data ecosystem.

You will work 100% remotely with flexible hours, receive a competitive USD salary, hardware and software setup, and join a global Top 1% talent network driving impactful analytics across teams.

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and optimizing large-scale data pipelines using Apache Spark.
• Hands-on experience developing analytics and lakehouse solutions on the Databricks platform.
• Strong proficiency in data modeling, transformation, and processing at scale.
• Advanced proficiency in English.

Responsibilities

• Build and maintain scalable batch and streaming data pipelines.
• Optimize processing jobs for maximum performance and cost-efficiency.
• Develop advanced analytics and lakehouse solutions at scale.
• Implement robust data modeling and structural transformations.
• Collaborate with engineering teams to ensure data quality and reliability.

Job description

BairesDev is seeking a Spark Data Engineer to design and optimize robust data pipelines for large-scale datasets, connecting raw data sources with analytical platforms and ensuring high performance across the organization’s data ecosystem.

You will work 100% remotely with flexible hours, receive a competitive USD salary, hardware and software setup, and join a global Top 1% talent network driving impactful analytics across teams.