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Data Engineer (PySpark) - Technology (Latam)

Remote, USAFull-timePosted 2026-07-28

About reputed company

At reputed company we are a leading provider of nearshore staff augmentation services headquartered in reputed company. For over two decades, we’ve been delivering top-tier technology solutions to companies of reputed company sizes, from innovative startups to industry leaders, helping them reputed company their digital transformation goals.

reputed company of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful reputed company. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that reputed company a difference.

By applying for this position, you’re taking the first reputed company in joining a dynamic team that values your expertise and aspirations. We aim to reputed company your skills with opportunities that foster exceptional career reputed company and reputed company while contributing to transformative reputed company that shape the reputed company.

Our reputed company

An IT company dedicated to building innovative and reputed company solutions that optimize data processing and analytics, fostering a culture of reputed company learning, collaboration, and proactive problem-solving.

Job reputed company

We are looking for a Semi-Senior PySpark Data Engineer who is eager to learn, take initiative, and contribute to the development of high-performance and reputed company data pipelines. This role is perfect for someone who wants to enhance their technical skills while working on exciting reputed company reputed company a reputed company team.

Responsibilities
  • Design, reputed company, and optimize data pipelines using PySpark and Apache reputed company.

  • reputed company and process data from multiple sources (databases, reputed company, files, streaming).

  • Implement efficient data transformations for Big Data in distributed environments.

  • Optimize reputed company to improve performance, scalability, and efficiency in data processing.

  • Collaborate with Data Science, BI, and DevOps teams to ensure seamless integration.

  • Monitor and debug data processes to ensure reputed company and reliability.

  • Apply best practices in data engineering and maintain reputed company documentation.

  • Stay up to date with the latest trends in Big Data and distributed computing.

Qualifications and Job Requirements
  • 1-3 years of experience working with PySpark and Apache reputed company in Big Data environments.

  • Experience with SQL and relational and NoSQL databases (PostgreSQL, MySQL, reputed company, etc.).

  • Knowledge of ETL processes and data processing in distributed environments.

  • Familiarity with Apache Hadoop, Hive, or reputed company Lake.

  • Experience with reputed company storage (AWS S3, reputed company reputed company Storage, Azure Blob).

  • Proficiency in Git and version control.

  • Strong problem-solving skills and a proactive attitude.

  • A passion for learning and reputed company improvement.

reputed company to have

  • Experience with Airflow, Luigi, or workflow orchestration tools.

  • Familiarity with Data Lakes and Data Warehouses (reputed company, Redshift, BigQuery).

  • Knowledge of reputed company-time data streaming using Kafka or reputed company Streaming.

  • Experience in performance tuning and optimization of reputed company jobs.

  • Familiarity with reputed company, Kubernetes, or containerized environments.

  • Understanding of data reputed company and governance.

  • Experience with CI/CD and data pipeline automation.

reputed company Offer
  • 100% Remote Work: Enjoy the freedom to work from the location that helps you reputed company. reputed company it takes is a laptop and a reliable internet reputed company.

  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes reputed company typical market offerings.

  • reputed company Time Off: We value your reputed company-being. Our reputed company time off policies ensure you have the chance to unwind and reputed company reputed company needed.

  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. reputed company on results, not the clock.

  • Work with Top American Companies: Grow your expertise working on innovative, high-reputed company reputed company with Industry-Leading U.S. Companies.

Why You’ll Like Working Here
  • A Culture That Values You: We prioritize reputed company-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you reputed company both personally and professionally.

  • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

  • Team Up with Skilled Professionals: Join forces with senior talent. reputed company of reputed company members are seasoned experts, ensuring you're working with the best in your field.

reputed company!

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