Data Engineer - Data Intensive Applications

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Hiring Remotely in São Paulo
Remote
Artificial Intelligence • Machine Learning • Software
The Role

Engineering at TRACTIAN


The Engineering team at TRACTIAN is at the forefront of developing cutting-edge infrastructure, technologies, and products to harness the power of IoT data. Our team of talented Engineers collaborates to build robust systems, innovative solutions, and scalable platforms that drive Tractian's success. We are instrumental in shaping the company's decision-making process, optimizing operational efficiency, and delivering exceptional experiences to our consumers.



What you'll do


As a Data Engineer, your primary responsibility will be to design, build, and optimize data pipelines and systems capable of managing and processing large data volumes in batches or in event-driven services. Your daily activities will involve working with cutting-edge tools and technologies to ensure the efficiency, reliability, and scalability of data solutions using Python, Go, and/or Rust.


Responsibilities

  • Design, develop, and maintain high-performance data pipelines and processing systems using Python, Go, and/or Rust.
  • Implement and optimize queue mechanisms and tools to manage high-volume data streams effectively.
  • Collaborate with cross-functional teams to ensure seamless integration of data systems within the larger infrastructure.
  • Optimize ETL/ELT workflows and other data processing pipelines for efficiency and reliability in handling large datasets.
  • Identify and resolve performance bottlenecks in data pipelines and storage solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • +2 years of experience in data engineering or related fields with a strong focus on data-intensive applications.
  • Expertise in Python and/or Go programming languages.
  • Experience with event-driven architecture and queue tools like Kafka, RabbitMQ, or similar.
  • Proficient understanding of distributed systems, data processing frameworks, and advanced algorithms.
  • Good knowledge of database technologies (Postgres, Scylla, MongoDB, Redis).
  • Good knowledge of cloud systems, specially AWS

Bonus Points

  • Knowledge of low-level programming languages such as Rust and C/C++
  • Experience with columnar/OLAP databases such as ClickHouse, QuestDB, TimescaleDB
  • Experience with data lake/warehouse technologies such as Delta and Iceberg
  • Experience in fast-paced and/or early stage tech startups
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The Company
Atlanta, , Georgia
103 Employees
On-site Workplace
Year Founded: 2019

What We Do

Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools.

Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average.

In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback.

Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed

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