Software Engineer - Data Platform
About Us
At Pagos, we’re passionate about empowering businesses to take control of their payments stack and solve the puzzles standing between them and optimized growth. Our global platform provides developers, product teams, and payments leaders with both a deeper understanding of their payments data and access to new payments technology through user-friendly tools that are easy to implement. To succeed in this, we need creative thinkers who are willing to roll up their sleeves and start building alongside us.
About the Role
As a Software Engineer you'll play a key part in building and maintaining the platform that powers our products. You'll also contribute across our broader engineering ecosystem - including data engineering, APIs, backend services, and internal tooling, wherever your skills can have the most impact.
By collaborating with backend engineers, product management, and other team members, you'll build and own new features, modules, and extensions of our systems. We're seeking an action-oriented and collaborative problem solver who thrives in ambiguity and can take on new challenges with optimism in a fast-paced environment. We value team members who are not only skilled in their area of expertise but are also continuous learners committed to growth and contributing to our collective success.
In this role, you will:
Design, build, and maintain backend services, APIs, and infrastructure components that power our platform
Contribute to data pipelines and processes (ELT/ETL) to extract, process, and transform data - both real-time and batched
Build and maintain integrations with data providers using various data transfer protocols
Contribute to the broader platform by supporting and developing backend services, APIs, and other infrastructure components as needed
Drive engineering projects from start to finish with a high level of ownership and autonomy
Collaborate cross-functionally, stepping in where needed to support the team's goals beyond your core data engineering responsibilities
Ensure the quality of our products and data through both manual and automated testing, as well as code reviews
What We’re Looking For
We’re looking for someone with:
8+ years of software engineering experience with an emphasis on Data Engineering
Strong backend development skills, including building and supporting REST/gRPC APIs and services
Experience with complex SQL queries and database/lakehouse technologies such as Redshift, Clickhouse, Trino, StarRocks, Apache Iceberg, Postgres, or similar
Familiarity with cloud platforms like AWS, GCP, or Azure, and common data-related services (e.g. S3, Redshift, EMR, Glue, Kinesis, Athena)
A bias for action, where no task is too small, and an eagerness to learn and grow with our industry
Nice to have:
Experience with big data technologies and frameworks such as Apache Spark and DBT, including data quality and testing practices
Experience with the .NET ecosystem
Experience with orchestration tools such as Temporal, Apache Airflow, or similar
Experience working in high-growth, venture-backed startup(s)
Pagos does not accept unsolicited resumes from third-party recruiting agencies. All interested candidates are encouraged to apply directly.
About the job
Apply for this position
Software Engineer - Data Platform
About Us
At Pagos, we’re passionate about empowering businesses to take control of their payments stack and solve the puzzles standing between them and optimized growth. Our global platform provides developers, product teams, and payments leaders with both a deeper understanding of their payments data and access to new payments technology through user-friendly tools that are easy to implement. To succeed in this, we need creative thinkers who are willing to roll up their sleeves and start building alongside us.
About the Role
As a Software Engineer you'll play a key part in building and maintaining the platform that powers our products. You'll also contribute across our broader engineering ecosystem - including data engineering, APIs, backend services, and internal tooling, wherever your skills can have the most impact.
By collaborating with backend engineers, product management, and other team members, you'll build and own new features, modules, and extensions of our systems. We're seeking an action-oriented and collaborative problem solver who thrives in ambiguity and can take on new challenges with optimism in a fast-paced environment. We value team members who are not only skilled in their area of expertise but are also continuous learners committed to growth and contributing to our collective success.
In this role, you will:
Design, build, and maintain backend services, APIs, and infrastructure components that power our platform
Contribute to data pipelines and processes (ELT/ETL) to extract, process, and transform data - both real-time and batched
Build and maintain integrations with data providers using various data transfer protocols
Contribute to the broader platform by supporting and developing backend services, APIs, and other infrastructure components as needed
Drive engineering projects from start to finish with a high level of ownership and autonomy
Collaborate cross-functionally, stepping in where needed to support the team's goals beyond your core data engineering responsibilities
Ensure the quality of our products and data through both manual and automated testing, as well as code reviews
What We’re Looking For
We’re looking for someone with:
8+ years of software engineering experience with an emphasis on Data Engineering
Strong backend development skills, including building and supporting REST/gRPC APIs and services
Experience with complex SQL queries and database/lakehouse technologies such as Redshift, Clickhouse, Trino, StarRocks, Apache Iceberg, Postgres, or similar
Familiarity with cloud platforms like AWS, GCP, or Azure, and common data-related services (e.g. S3, Redshift, EMR, Glue, Kinesis, Athena)
A bias for action, where no task is too small, and an eagerness to learn and grow with our industry
Nice to have:
Experience with big data technologies and frameworks such as Apache Spark and DBT, including data quality and testing practices
Experience with the .NET ecosystem
Experience with orchestration tools such as Temporal, Apache Airflow, or similar
Experience working in high-growth, venture-backed startup(s)
Pagos does not accept unsolicited resumes from third-party recruiting agencies. All interested candidates are encouraged to apply directly.