Spark Data Engineer - Remote work | REF#305832

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

At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Spark Data Engineer at BairesDev

As a Spark Data Engineer, you will design and optimize robust data pipelines to handle large-scale datasets. You will connect raw data sources with analytical platforms, ensuring high performance, scalability, and efficiency across the organization's data ecosystem.

What You'll Do

• 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.

What We Are Looking For

• 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.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!