Senior Data Engineer (Ingeniero de Datos Senior)

Ready to accelerate your career

Senior Data Engineer (Engenheiro de Dados Sênior) - São Paulo

CLARAs Data Engineering Team is looking for a highly professional experienced and innovative Senior Data Engineer to architect and build robust data infrastructure that powers our analytics reporting and emerging AI capabilities. Youll work alongside developers data analysts and data scientists to create deploy and maintain complex banking and financial data systems that enable data-driven decision making across the organization.

Responsibilities

Your main focus will be to design and build reliable data pipelines that serve analytics teams business stakeholders and AI applications. Youll leverage modern tooling (including AI-assisted development) to efficiently develop data infrastructure improve existing processes create data models and mentor junior team members. You will be responsible for the maintenance and operation of these systems collaborating across teams to provide high-quality fast-delivery data for the company.

Core Responsibilities:

Data Pipeline Engineering & Analytics Infrastructure

• Build integrate and maintain batch and streaming data pipelines following principles of reliability scalability and maintainability
• Design and implement data models for analytics reporting and business intelligence using dimensional modeling and lakehouse architectures
• Ensure data quality lineage and monitoring across all pipelines understanding and resolving issues proactively
• Implement data lake/lakehouse architectures following best practices: partitioning strategies zone organization (bronze/silver/gold) avoiding data swamps
• Integrate data from diverse sources: databases APIs event streams (Kafka Kinesis) third-party services and CDC processes
• Optimize query performance and data access patterns for analytics workloads and dashboard performance

Modern Data Platform & AI-Ready Infrastructure

• Build feature pipelines and data scaffolding that enable ML model training and AI applications for internal teams and external clients
• Design reusable data frameworks and patterns that accelerate both analytics and AI development
• Implement data APIs and microservices that expose curated datasets to downstream consumers
• Create observability systems for data quality freshness and pipeline health across all use cases

Development Excellence & AI-Assisted Productivity

• Leverage AI tools (coding assistants LLMs) daily to accelerate development improve code quality and increase productivity
• Implement CI/CD pipelines with automated testing validation and deployment for data assets
• Enforce DevOps culture and best practices within the team
• Document your work thoroughly to create solid foundations for team members and future reference

Collaboration & Leadership

• Collaborate with data analysts to understand reporting requirements and optimize data models for BI tools
• Partner with data scientists and ML engineers on feature engineering and model data requirements
• Work with product and engineering teams to meet company goals and deliver data products
• Mentor junior and mid-level engineers through code reviews pair programming and knowledge sharing
• Lead architectural discussions and contribute to long-term platform strategy
• Enforce data security and data privacy best practices across all systems

Requirements

Core Technical Skills:

• Advanced proficiency in Python and SQL with strong performance optimization skills
• Experience with Databricks (Spark Delta Lake Unity Catalog workflows)
• Deep experience with data warehousing/lakehousing (Databricks Redshift BigQuery Snowflake) and dimensional data modeling
• Strong understanding of distributed systems and Spark architecture (PySpark optimization partitioning strategies)
• Proven experience building complex data pipelines (ETL/ELT) with orchestration tools (Airflow AWS Glue Step Functions Dagster)
• Experience with big data technologies: Spark Hive Kafka and understanding of column vs row-based storage
• Hands-on experience integrating data from databases APIs event streams (Kinesis Kafka) and CDC processes
• Proficiency with CI/CD tools (GitHub Actions GitLab CI Jenkins) and Git workflows
• Experience with modern data stack tools (databricks tools is a strong plus)

AI & Analytics Capabilities:

• Understanding of how to structure data for both analytics and ML use cases
• Familiarity with MLOps concepts: feature stores model training pipelines inference data requirements
• Experience leveraging AI tools to improve development velocity and code quality

Nice to Have

• Proficiency in Scala for advanced Spark development
• Experience with feature stores or ML data infrastructure (Databricks Feature Store Feast Tecton)
• Experience with lambda or kappa architectures for unified batch/streaming processing
• Experience in Data Governance frameworks and data cataloging
• Hands-on experience with CDC processes (Debezium AWS DMS)
• Experience with vector databases or embedding pipelines for AI applications
• Familiarity with dbt for analytics engineering and data transformation
• Knowledge of LLM application patterns (RAG embeddings semantic search)

What Makes You Stand Out

Technical Excellence

• You leverage AI tools daily (GitHub Copilot Claude ChatGPT) to create projects and unlock superpowers in your workflow
• Youre a problem solver with creativity able to design elegant solutions to complex data challenges
• You have exceptional attention to detailcritical in a financial institution handling sensitive customer data
• Youre knowledgeable across multiple programming languages and eager to learn new technologies
• You stay current with emerging technologies and proactively identify opportunities to implement them

Collaboration & Ownership

• Excellent at working in distributed teams with strong communication skills (async and real-time)
• You take ownership and act like an owner because you are one
• Youre dedicated and deeply responsible in every aspect of your work
• Youre innovative excellent to others supportive and take initiative

Strategic Impact

• Strategic thinking: youll be part of long-term architectural decisions that shape our data platform
• Ability to stay focused set clear targets and visualize paths to achieve ambitious goals
• You balance shipping quickly with building sustainable maintainable systems

Why join Clara

At Clara youll have the autonomy speed and support to make meaningful impact not just on your team but on how organizations are run across Latin America.

Who we are

• Were the leading B2B fintech for spend management in Latin America.

• Certified as one of the worlds fastest-growing companies a Great Place to Work and a LinkedIn Top Startup.

• Passionate about making Latin America more prosperous and competitive.

• Constantly innovating to build financial infrastructure that enables each of our customers to thrive.

• Product-led high-talent-density culture designed for builders who raise the bar.

• Proud of our open inclusive and values-driven environment.

What we believe in

• #Clarity. We say things clearly directly and proactively.

• #Simplicity. We reduce noise to focus on what really matters.

• #Ownership. We take responsibility and never wait to be told.

• #Pride. We build products and experiences were proud of.

• #Always Be Changing (ABC). We grow through feedback risk-taking and action.

• #Inclusivity. Every voice counts. Everyone contributes to our mission.

What we offer

• Competitive salary and stock options (ESOP) from day one

• Multicultural team with daily exposure to Portuguese Spanish and English (our corporate language)

• Annual learning budget and internal accelerated development paths

• High-ownership environment: we move fast learn fast and raise the bar together

• Smart ambitious teammates low ego high impact

• Flexible vacation and hybrid work model focused on results

If youre ready for growth ownership and impact apply now and help us redefine B2B finance in Latin America.

Claras Hybrid Policy

Claridians in a hybrid mode split their time between working from the office talking to or visiting customers or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We dont enforce a minimum number of days for most roles but youre expected to spend time at the office organically and be at the office most days during your ramp-up or when required by your leader.