About The Position
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.
Requirements
- 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 Haves
- 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)
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
