Data Engineer - Data Intensive Applications
Data
Data Engineering
São Paulo, SP
Remote
Why join us
TRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients.
At TRACTIAN, you'll break boundaries, question convention, and collaborate with top talent to drive real change. As a part of our growth-stage startup, you’ll work alongside the founders, shaping the vision, products, and experiences that will define the future of industrial tech.
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
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Design, develop, and maintain high-performance data pipelines and processing systems using Python, Go, and/or Rust.
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Implement and optimize queue mechanisms and tools to manage high-volume data streams effectively.
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Collaborate with cross-functional teams to ensure seamless integration of data systems within the larger infrastructure.
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Optimize ETL/ELT workflows and other data processing pipelines for efficiency and reliability in handling large datasets.
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Identify and resolve performance bottlenecks in data pipelines and storage solutions.
Requirements
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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+2 years of experience in data engineering or related fields with a strong focus on data-intensive applications.
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Expertise in Python and/or Go programming languages.
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Experience with event-driven architecture and queue tools like Kafka, RabbitMQ, or similar.
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Proficient understanding of distributed systems, data processing frameworks, and advanced algorithms.
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Good knowledge of database technologies (Postgres, Scylla, MongoDB, Redis).
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Good knowledge of cloud systems, specially AWS
Bonus Points
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Knowledge of low-level programming languages such as Rust and C/C++
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Experience with columnar/OLAP databases such as ClickHouse, QuestDB, TimescaleDB
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Experience with data lake/warehouse technologies such as Delta and Iceberg
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Experience in fast-paced and/or early stage tech startups
COMPENSATION
• Competitive salary and stock options
• Optional fully funded English / Spanish courses
• 30 days of paid annual leave
• Education and courses stipend
• Earn a trip anywhere in the world every 4 years
• Day off during the week of your birthday
• Up to R$1.000/mo for meals and remote work allowance
• Health plan with national coverage and without coparticipation
• Dental Insurance: we help you with dental treatment for a better quality of life.
• Gympass and Sports Incentive: R$300/mo extra if you practice activities
If you want to build a ship, don't organize people to collect wood, assign them tasks, and give orders. Instead, teach them to long for the vast and endless sea.
Antoine Saint-Exupery