Streaming Data Engineer - Remote Work | REF#298086

BairesDev; United States; Remoto; USD 110.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

USD compensation

Hardware provided

Flexible hours

Parental leave

Growth opportunities

Descrizione del lavoro

BairesDev is hiring a Data Engineer to design and manage real-time data pipelines. You will work on streaming systems across Kafka, Flink, Spark Streaming and Kinesis, ensuring low latency and exactly-once semantics, while collaborating with global teams.

This remote role offers flexible hours, 100% remote from anywhere, competitive USD compensation, and strong opportunities for growth through mentorship and cross-project learning.

Competenze

• 4+ years in data engineering, streaming or software engineering.
• Experience designing real-time streaming systems.
• Proficient with Kafka, Flink, Spark Streaming, and Kinesis.
• Strong latency and throughput optimization; exactly-once semantics.
• Advanced English proficiency.

Mansioni

• Design, implement, and manage real-time data pipelines using Kafka and Flink.
• Develop streaming apps handling complex event processing with exactly-once semantics.
• Optimize ingestion and processing for Spark Streaming and Kinesis.
• Collaborate with data architects on schema evolution and data quality.
• Monitor and troubleshoot distributed streaming infra for reliability.
• Implement security best practices for data in transit and multi-tenant environments.

Conoscenze

Kafka

Flink

Spark Streaming

Kinesis

Exactly-once semantics

Latency optimization

English proficiency

Strumenti

Kafka

Flink

Spark Streaming

Kinesis

Descrizione del lavoro

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.

What You'll Do

• Design, implement, and manage scalable real-time data pipelines using Kafka and Flink.
• Develop streaming applications that handle complex event processing and ensure exactly-once semantics.
• Optimize data ingestion and processing layers to maintain high performance across Spark Streaming and Kinesis.
• Collaborate with data architects to define schema evolution and data quality standards for streaming workloads.
• Monitor and troubleshoot distributed streaming infrastructure to ensure system reliability and data consistency.
• Implement security best practices for data in transit and manage multi-tenant streaming environments.

What We Are Looking For

• 4+ years of experience in Data Engineering, Stream Processing, or Software Engineering.
• Proven expertise in designing and building real-time data streaming systems across various tools.
• Proficiency with core technologies including Kafka, Flink, Spark Streaming, and Kinesis.
• Deep understanding of optimizing for latency, throughput, and exactly-once semantics.
• 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!

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