Remote Spark Data Engineer: Scale Pipelines & Lakehouse

BairesDev; United States; Remote; MXN 1,653,000 - 2,387,000; Full time

Benefits offered by this job

Remote work

USD salary

Home office setup

Flexible hours

Parental leave

Mentorship & growth

Job summary

BairesDev is seeking a Spark Data Engineer to design and optimize robust data pipelines for large-scale datasets. You will connect raw data sources with analytics platforms, ensuring high performance and scalability across the data ecosystem.

Join a global, fully remote team. You will work with modern Databricks lakehouse architectures, develop streaming and batch pipelines, and collaborate across engineering teams to ensure data quality and reliability.

Qualifications

• 5+ years of experience in data or software engineering.
• Proven expertise in large-scale data pipelines with Apache Spark.
• Hands-on Databricks analytics and lakehouse experience.
• Strong data modeling and transformation skills.
• Advanced English required.

Responsibilities

• Build and maintain scalable batch and streaming data pipelines.
• Optimize jobs for performance and cost.
• Develop lakehouse solutions at scale.
• Implement robust data modeling and transformations.
• Collaborate with engineering teams to ensure data quality.

Skills

Data engineering

Apache Spark

Databricks

Data modeling

Data transformation

English proficiency

Job description

BairesDev is seeking a Spark Data Engineer to design and optimize robust data pipelines for large-scale datasets. You will connect raw data sources with analytics platforms, ensuring high performance and scalability across the data ecosystem.

Join a global, fully remote team. You will work with modern Databricks lakehouse architectures, develop streaming and batch pipelines, and collaborate across engineering teams to ensure data quality and reliability.