Senior Data Engineer

About the RoleWe are looking for a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. The mandatory requirements are 4+ years in Data Engineering, strong SQL, Python, Spark, and Scala skills, experience with dbt, Airflow, Dagster, AWS, GCP, and Snowflake, plus ELT/ETL, CI/CD, Terraform, and REST APIs. FinOps experience, Datadog, Go, and certification are a plus. What you will do Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling, enabling product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support committed use discount modeling and management. Must haves4+ years of experience in Data Engineering roles.Hands-on experience with SQL, Python, Spark, and Scala.Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.Hands-on experience with AWS (Glue, Aurora, Athena), GCP, and Snowflake.Experience architecting and enhancing the long-term maintainability of end-to-end ELT/ETL data pipelines, including data modeling and schema maturity.Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.Strong attention to detail, analytical skill, and comprehensive data auditing and end-to-end validation skills.Ability to explain technical concepts to non-technical audiences.Upper-intermediate English level. Nice to havesExperience with FinOps teams or cost optimization job duties.FinOps Practitioner or FinOps Engineer certification.Experience with Datadog API endpoints.Experience with Go. PerksGrowth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budgetCompetitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviewsFlexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythmMeaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brandsCollaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognizedWell-being & support: access local well-being programs and people-focused support tailored to your location