Analytics Engineer
Data
Data Engineering
São Paulo, SP
#LI-IM1
#LI-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.
Data Engineering at TRACTIAN
The Data Engineering team is responsible for building and maintaining the infrastructure that handles massive datasets flowing through TRACTIAN’s systems. This department ensures the availability, scalability, and performance of data pipelines, enabling seamless access and processing of real-time and historical data. The team’s core objective is to architect robust, fault-tolerant data systems that support everything from analytics to machine learning, ensuring that the right data is in the right place, at the right time.
What you'll do
As an Analytics Engineer, you will bridge the gap between data engineering and data analysis by designing, building, and maintaining robust data pipelines and models that empower business teams with actionable insights. You will work closely with data analysts, data scientists, and business stakeholders to ensure data quality, optimize data workflows, and enable self-service analytics, driving data-informed decision-making across the organization.
Responsibilities
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Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.
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Design, implement, and optimize data models to support reporting and analytical needs.
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Collaborate with data analysts and data scientists to understand business requirements and translate them into technical specifications.
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Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.
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Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.
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Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.
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Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
Requirements
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Master’s degree in Data Science, Statistics, Computer Science, or a related field.
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2+ years of experience in Data Science or Analytics.
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Proficiency in SQL and experience with database management systems such as PostgreSQL.
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Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).
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Experience with cloud-based data platforms like AWS Redshift.
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Familiarity with programming languages such as Python.
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Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
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