Streaming Data Engineer - Remote Work | REF#299201

BairesDev; United States; Remoto; CLP 109.689.000 - 164.534.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work 100%

USD compensation or local currency

Home office setup provided

Flexible hours

Parental leave & holidays

Global team & mentorship

Descrizione del lavoro

BairesDev is seeking a Streaming Data Engineer to design and build real-time data pipelines that deliver low-latency insights using Kafka, Flink, Spark Streaming, and Kinesis.

You will optimize ingestion, ensure exactly-once processing, and collaborate with data architects on schema evolution and data quality while maintaining security and reliability in a 100% remote setup.

Competenze

• 4+ years of experience in Data Engineering or Streaming.
• Experience designing real-time data pipelines.
• Strong English communication skills.

Mansioni

• Design, implement, and manage scalable real-time data pipelines using Kafka and Flink.
• Develop streaming applications with exactly-once semantics.
• Optimize ingestion and processing for Spark Streaming and Kinesis.
• Collaborate with data architects on schema evolution and data quality.
• Monitor distributed streaming infrastructure for reliability and data consistency.
• Apply security best practices for data in transit and multi-tenant environments.

Conoscenze

English proficiency

4+ years experience

Data streaming

Latency optimization

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.

As a Streaming Data Engineer, you will design and build real-time data streaming systems that ensure high throughput and low-latency data processing. You will play a key role in architecting event-driven solutions that provide the organization with immediate, actionable insights from continuous data streams.

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!