Streaming Data Engineer - Remote Work | REF#299201

BairesDev

United States

A distancia

CLP 109.689.000 - 164.534.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Remote work 100%
USD compensation or local currency
Home office setup provided
Flexible hours
Parental leave & holidays
Global team & mentorship

Descripción de la vacante

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.

Formación

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

Responsabilidades

  • 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.

Conocimientos

English proficiency
4+ years experience
Data streaming
Latency optimization

Herramientas

Kafka
Flink
Spark Streaming
Kinesis

Descripción del empleo

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!

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