About the role-
As a Software Engineer II - Data, you will contribute to the design and development of data systems including pipelines, APIs, analytics, AI and machine learning at scale. You'll be a core part of our Data Products team, building and maintaining production-grade pipelines and platform components that power business and product outcomes. This role emphasizes hands-on development, reliability, and team collaboration.
Role requires:
- A proactive and collaborative approach to problem-solving, with a mindset focused on outcomes, learning, and iteration.
- The ability to manage multiple priorities or projects simultaneously, while meeting deadlines and maintaining high technical standards.
- Comfort operating within modern cloud-native architectures and tooling.
- Commitment to writing clean, testable, and maintainable code.
- An understanding of how your work contributes to broader team and business goals.
- Willingness to ask questions, challenge assumptions, and share ideas.
Experience & Technical Requirements:
- 36 years of development experience, with production systems in cloud environments.
- Proficient in Python and/or Golang, and SQL for data processing, transformation, and orchestration tasks.
- Experience with at least one modern cloud platform (e.g., GCP, AWS, or Azure).
- Experience developing REST or GraphQL APIs and internal data access layers.
- Experience building and maintaining ETL/ELT pipelines or API-driven data services.
- Experience with source control (e.g., Git), automated testing, and CI/CD practices.
- Exposure to orchestration tooling such as n8n, Cloud scheduler, Airflow, Step Functions, or similar.
- Understanding of data modeling concepts and cloud warehousing (e.g. Databricks, BigQuery, Snowflake or other).
- Familiarity with Kafka, Pub/Sub, or other event-based systems.
- Awareness of data quality, observability, and governance principles in engineering contexts.
- Strong written and verbal communication skills, with an ability to share context with both technical peers and cross-functional partners.
- Experience working with containerized environments (e.g., Docker, Kubernetes).
- Exposure to infrastructure-as-code, especially for deploying and managing data workflows.
- Hands-on use of BI tools like Looker or Tableau
- A growth mindset and interest in mentoring junior peers or learning from senior engineers.
