Senior Data Platform Engineer - Remote Work | REF#293909
BairesDev
/job-details/7754
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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.
Senior Data Platform Engineer at BairesDev
We’re looking for a Senior Data Platform Engineer who writes Java and has built the kind of distributed data infrastructure that large-scale analytics and processing workloads actually depend on. You’ve worked with Spark or similar frameworks, you understand how data platforms behave in Kubernetes-native cloud environments, and you know what it takes to keep them running reliably under pressure. You’ll be contributing to open source data platform technology used by leading enterprises worldwide to process and manage data at scale.
**What You’ll Do**
- Build and maintain data platform components in Java that support large-scale distributed Spark workloads.
- Design and optimize data processing pipelines running in Kubernetes-native cloud environments.
- Work on platform reliability, observability, and performance across distributed data infrastructure.
- Identify and resolve performance and scalability issues in data platform components.
- Collaborate with data engineering and platform teams to deliver high-quality platform features.
- Contribute to technical discussions, code reviews, and platform engineering standards.
**What We Are Looking For**
- 5+ years of experience in IT roles.
- 3+ years of experience with Java as a primary language in data platform or distributed systems contexts.
- Hands-on experience with Apache Spark or similar distributed data processing frameworks.
- Solid foundation in distributed systems design and operation.
- Experience working in Kubernetes or containerized cloud deployments.
- Advanced proficiency in English.
How we do make your work (and your life) easier:
- Remote Work.
- 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!
Apply now!
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.
Senior Data Platform Engineer at BairesDev
We’re looking for a Senior Data Platform Engineer who writes Java and has built the kind of distributed data infrastructure that large-scale analytics and processing workloads actually depend on. You’ve worked with Spark or similar frameworks, you understand how data platforms behave in Kubernetes-native cloud environments, and you know what it takes to keep them running reliably under pressure. You’ll be contributing to open source data platform technology used by leading enterprises worldwide to process and manage data at scale.
**What You’ll Do**
- Build and maintain data platform components in Java that support large-scale distributed Spark workloads.
- Design and optimize data processing pipelines running in Kubernetes-native cloud environments.
- Work on platform reliability, observability, and performance across distributed data infrastructure.
- Identify and resolve performance and scalability issues in data platform components.
- Collaborate with data engineering and platform teams to deliver high-quality platform features.
- Contribute to technical discussions, code reviews, and platform engineering standards.
**What We Are Looking For**
- 5+ years of experience in IT roles.
- 3+ years of experience with Java as a primary language in data platform or distributed systems contexts.
- Hands-on experience with Apache Spark or similar distributed data processing frameworks.
- Solid foundation in distributed systems design and operation.
- Experience working in Kubernetes or containerized cloud deployments.
- Advanced proficiency in English.
How we do make your work (and your life) easier:
- Remote Work.
- 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!
Apply now!
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