Software Engineer, Data Platform
Remote
Full Time
#Data Engineering
#Backend Development
#Payments
#REST APIs
#GRPC APIs
#SQL Queries
#Data Pipelines
#Cloud Platforms
#AWS
#GCP
#Apache Spark
#DBT
#Apache Airflow
At Pagos, we are dedicated to helping businesses master their payment infrastructure and unlock new opportunities for growth. Our global platform offers developers and product leaders the visibility and technology they need to navigate complex payment landscapes through intuitive, easy-to-use tools. We are looking for a Senior Software Engineer to join our fully remote team and help us build the next generation of our data platform.
Key outcomes
- Design, develop, and maintain the backend services, APIs, and infrastructure that serve as the foundation of our platform.
- Manage and optimize data pipelines and ELT/ETL processes to handle both real-time and batch data effectively.
- Create and support integrations with various data providers using standard transfer protocols.
- Take full ownership of engineering projects, guiding them from initial concept to final delivery.
- Work closely with cross-functional partners to support team goals, even when tasks fall outside of core data engineering responsibilities.
- Maintain high product and data standards through rigorous code reviews and the implementation of automated and manual testing.
Requirements
- Over 8 years of professional software engineering experience, with a primary focus on data engineering.
- Expertise in backend development, specifically in creating and supporting REST and gRPC APIs.
- Proficiency in writing complex SQL queries and working with database or lakehouse technologies like Postgres, Clickhouse, Redshift, Trino, StarRocks, or Apache Iceberg.
- Practical experience with cloud platforms such as AWS or GCP, including services like S3, EMR, Glue, Kinesis, or Athena.
- A proactive, action-oriented mindset and a strong desire to learn and adapt within a fast-paced industry.
- Fluency in English.
Preferred qualifications
- Experience with big data frameworks, particularly Apache Spark and DBT, including best practices for data quality.
- Familiarity with the .NET ecosystem.
- Knowledge of orchestration tools such as Apache Airflow or Temporal.
- Previous experience working in a high-growth, venture-backed startup environment.
Compensation
We offer a fully remote work environment that provides you with the flexibility to contribute from anywhere.
How to apply
If you are interested in joining our team, please submit your application directly to us. We do not accept unsolicited resumes from third-party recruiting agencies, so we encourage all interested candidates to reach out to us through our official channels.
