
Software Engineer - Data & Analytics at Tractian (São Paulo, Brazil)
Tractian· São Paulo, Brazil·
Role details
Job description
Analytics at TRACTIAN The Analytics team is responsible for building and maintaining data products and the data platform that supply them. From the most common data products such as Dashboards and Reports to the cutting-edge agentic analytics with MCPs, RAGs, Agents and Data Governance products for the entire organization. We ship to production for internal and external users the data products that are ingested, modeled and enriched in a modern analytics data stack. The team's core objective is to build reliable, groundbreaking and insightful data products from the raw consumption of the data from different sources until the delivery to the consumer.
What you'll do
As a Software Engineer - Data & Analytics, you will build data products by designing, building, and maintaining robust data pipelines and deliver that data through several ways, empowering the business teams and TRACTIAN customer itself with actionable insights. You will work closely with data engineers, analytics engineers and business stakeholders to ensure data quality, optimize data workflows, and enable self-service analytics, driving data-informed decision-making across the organization and building the forefront of agentic analytics.
Responsibilities
- Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.
- Design, implement, and optimize data models to support reporting and analytical needs.
- Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.
- Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.
- Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.
- Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.
- Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
- Create dashboards as data products as internal or external products
- Create and maintain MCPs, RAG Pipelines, APIs and visualization tools
Requirements
- Degree in Computer Engineering, Data Science, Statistics, Computer Science, or a related field.
- Experience in Data Science or Analytics.
- Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL, MySQL, MongoDB.
- Strong understanding of data warehousing concepts and experience with ETL and data modeling tools (e.g., Airflow, dbt).
- Experience with BI tools (e.g., PowerBi, Looker, Tableau)
- Experience with cloud-based data platforms like AWS Redshift, Google BigQuery and Clickhouse.
- Experience with programming languages such as Python.
- Familiarity with agentic analytics concepts such as: LLM Data Enrichment, MCPs, agentic query building.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Advanced Portuguese and English.
Compensation & Benefits
- Competitive Compensation
- 30 days of paid annual leave
- Education and courses stipend
- Earn a trip anywhere in the world every 4 years
- R$1.035/month for meals allowance
- Health plan with national coverage and without coparticipation
- Dental Insurance: we help you with dental treatment for a better quality of life.
- Wellhub Membership: Access a wide range of gyms and training programs.
Why work at Tractian
- Meaningful work: Directly empower the industrial and frontline workers who keep the global economy moving.
- High-growth environment: 51%+ yearly headcount growth and strong external recognition make this a fast-moving, high-visibility place to build a career.
- Engineering culture: Hardware developers, data scientists, and software engineers build cutting-edge technology from scratch on complex, hard-to-solve problems.
- Values ("Blue Caps"): Customer obsession, transparency, ownership, demanding-and-supportive leadership, and uncompromising quality.
- Flexibility: Work types include Remote, Hybrid, and On-site roles, depending on position and location.
- Compensation & culture: Employee reviews show a 4.0/5.0 overall rating, with strong marks for compensation (4.5) and career development (4.1).
- Open technical roles: Actively hiring for Analytics Engineer, Senior Data Engineer, Senior Frontend Software Engineer, and more.