Data Engineer (Spark) - Remote Work | REF#294742

BairesDev

United States

Remote

USD 110,000 - 165,000

Full time

1 hour ago
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Benefits offered by this job

100% Remote
Competitive USD compensation
Home office setup
Flexible hours
Paid parental leave
Vacation & holidays
Global multicultural team
Mentorship and growth opportunities

Job summary

BairesDev, a global tech leader with 15+ years of experience, is hiring a Data Engineer specialized in Spark. This 100% remote role connects you to teams delivering large-scale data pipelines and cloud infrastructure across AWS, Azure, and GCP.

You will design, build, and optimize batch and streaming pipelines with Python and PySpark, use Delta Lake or Iceberg, and orchestrate workflows with Airflow to deliver timely insights.

Qualifications

  • 4+ years of experience in Data or Software Engineering.
  • Expertise in building large-scale batch and streaming pipelines with Spark and Python.
  • Hands-on with Spark internals, PySpark, Delta Lake or Iceberg.
  • Proficient in SQL and Airflow for orchestration.
  • Experience with AWS, Azure, or GCP.
  • Advanced English proficiency.

Responsibilities

  • Design and develop robust data pipelines using Python and PySpark.
  • Optimize Spark jobs for performance and cost.
  • Implement scalable storage with Delta Lake or Iceberg.
  • Orchestrate workflows with Airflow.
  • Build data processing infra across AWS/Azure/GCP.
  • Write and optimize complex SQL queries for data transformation.

Skills

Spark
PySpark
Delta Lake
Apache Iceberg
Python
SQL
Airflow
AWS
Azure
GCP
English

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.

As a Data Engineer specializing in Spark, you will design and build large-scale data pipelines to process complex batch and streaming workloads. You will serve as a key link between raw data sources and analytical insights, ensuring the efficiency and scalability of our data infrastructure.

What You'll Do
  • Design and develop robust data pipelines using Python and PySpark to process large-scale datasets.
  • Optimize Spark jobs by deep-diving into internals to improve performance and manage costs.
  • Implement scalable storage solutions using Delta Lake or Iceberg for reliable data management.
  • Orchestrate complex data workflows using Airflow to ensure timely and accurate data delivery.
  • Build and maintain data processing infrastructure across cloud environments like AWS, Azure, or GCP.
  • Write and optimize complex SQL queries for data transformation and validation within the pipeline.
What We Are Looking For
  • 4+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise in building large-scale batch and streaming pipelines using Apache Spark and Python.
  • Hands-on experience with Spark internals, PySpark, and Delta Lake or Apache Iceberg.
  • Proficiency in SQL and workflow orchestration using tools like Airflow.
  • Practical experience with cloud data platforms such as AWS, Azure, or GCP.
  • 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!

#BD-PRIO-2026

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