DevOps & Security Engineer

SCALIS; Teletrabalho; BRL 430.000 - 861.000; Tempo integral

Resumo da oferta

A technology company is seeking a data platform engineer to design and operate a robust data system for their analytics platform. The role involves developing scalable data pipelines, optimizing performance, and ensuring data governance. Candidates should have strong SQL skills, experience with data warehouse architecture, and familiarity with ETL tools. This position offers the flexibility of part or full-time work, ideal for those dedicated to high-performance data solutions.

Qualificações

• Experienced in data warehouse architecture and scalable analytics infrastructure.
• Strong with SQL, data modeling, and pipeline performance optimization.
• Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations.

Responsabilidades

• Design, implement, and maintain a scalable data warehouse.
• Develop and optimize ETL pipelines to ingest data from APIs.
• Model and manage datasets to support flexible analytics.

Conhecimentos

Data warehouse architecture

SQL

Data modeling

ETL tools

Cloud-based data operations

Python for analytics

Ferramentas

BigQuery

Snowflake

Redshift

Metabase

Tableau

Power BI

Descrição da oferta de emprego

Reflow

• Remote
• Contractor
• Intermediate or Experienced
• $80,000 to $160,000 a year
• Belize
• Costa Rica
• Guatemala
• Honduras
• Panama
• Argentina
• Bolivia, Plurinational State of

About the job

We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need a data platform engineer to help us design and operate the systems that turn that data into intelligence — powering analytics, workflow insights, and economic modeling.

What you’ll do

• Design, implement, and maintain a scalable data warehouse (BigQuery, Snowflake, Redshift, or similar).
• Develop and optimize ETL pipelines to ingest data from APIs and internal systems.
• Model and manage datasets to support flexible analytics and product features.
• Collaborate with engineering team to improve data mining and analytics performance.
• Build and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights.
• Ensure data reliability, cost efficiency, and performance optimization across environments.
• Implement event-based pipelines for real-time analytics and reporting.
• Contribute to data governance, privacy, and security best practices.

Who you are

• Experienced in data warehouse architecture and scalable analytics infrastructure.
• Strong with SQL, data modeling, and pipeline performance optimization.
• Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations.
• Capable of balancing technical depth with real-world impact — you build systems people actually use.
• Comfortable navigating tradeoffs between cost, scalability, and complexity.
• Curious about how data translates into insights, decisions, and automation.
• Experience with Python for analytics and data wrangling.
• Familiarity with AI/ML-driven analytics or predictive modeling.
• Exposure to real-time or streaming data architectures.
• Understanding of data governance, compliance, and secure cloud operations.

You’ll build the backbone of Reflow’s intelligence layer, the systems that make our data usable, fast, and insightful. You’ll work directly with founders and engineers across analytics, infrastructure, and product. This is a high-impact technical role that sits at the intersection of scale, performance, and strategy.

We’re open to part or full-time. Ideal for builders who care about performance and precision at scale.

Preferred Skills

• Data warehouse architecture
• Scaleable analytics infrastructure
• SQL, data modeling, and pipeline performance optimization
• Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations