Software Engineer (Apache HBase) - Remote work

BairesDev; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work

USD compensation

Home office setup

Flexible hours

Job summary

BairesDev is seeking a Software Engineer specializing in Apache HBase to design, build, and operate high‑performance NoSQL data solutions within the Hadoop ecosystem.

You will contribute to real‑time data access, scalable schemas, and cluster maintenance while collaborating with global data platform teams. This is a fully remote role with flexible hours and USD‑based compensation.

Qualifications

• 4+ years of software/data engineering experience.
• Proven Apache HBase development and operations experience.
• Experience with NoSQL and Hadoop ecosystem.

Responsibilities

• Design scalable HBase schemas for low-latency reads/writes.
• Manage and optimize HBase clusters and ZooKeeper coordination.
• Tune performance with compactions, memory settings, and region management.
• Troubleshoot data consistency and cluster availability issues.
• Collaborate with data platform teams to integrate with the Big Data stack.

Skills

Apache HBase

NoSQL

Hadoop ecosystem

Real-time data access

English proficiency

Tools

ZooKeeper

HBase administration

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.

Software Engineer (Apache HBase) at BairesDev

As a Software Engineer specializing in Apache HBase, you will develop and operate high-performance NoSQL database solutions to provide real-time access to large-scale datasets. You will play a critical role in ensuring the scalability and reliability of our data storage layer within the Hadoop ecosystem.

What You'll Do:

• Design and implement scalable HBase schemas to support low-latency read/write operations.
• Manage and optimize HBase clusters, including region servers, master nodes, and ZooKeeper coordination.
• Monitor and tune performance through effective management of compactions, splits, and memory settings.
• Troubleshoot complex issues related to data consistency, region server health, and cluster availability.
• Collaborate with data platform teams to integrate HBase with the broader Big Data ecosystem.

What we are looking for:

• 4+ years of experience in Software Engineering, Data Engineering, or Big Data.
• Proven expertise in developing and operating Apache HBase for real-time data access.
• Proficiency in managing HBase regions, compaction processes, and schema design.
• Hands-on experience with NoSQL databases and the Hadoop ecosystem.
• Strong understanding of wide-column store architectures and performance tuning.
• 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 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.