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At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection . We run on AWS and make extensive use of Scala Spark, dbt, and Terraform.
Responsibilities
Requirements
What are we trying to solve
Billions of people still cannot securely prove their identity. Without it, they're shut out of education, healthcare, finance, and civic participation. We believe this must change—and that digital identity should be trustworthy, private, and accessible to everyone.
At VIDA, we're creating a frictionless digital identity system that meets the needs of our time and works anywhere, for everyone.
Why are we solving this problem
Global initiatives like the UN and World Bank's ID4D aim to provide legal identity for all by 2030 . We expect digital identity to become a basic right, and we want VIDA to help lead that future.
Who are we
We're a mission-driven, pragmatic team motivated by real-world impact—from preventing fraud and corruption to unlocking fair access to essential services. If that resonates with you, we'd love to talk.
Job ID: 149382843
Skills:
Pyspark, Scala, Apache Spark, Sql, LakeFlow, Delta Lake, LakeBase, Databricks Lakehouse
Skills:
composer , DataFlow, Sql, Datawarehouse, Java, Dataproc, Pyspark, BigQuery, Etl, Python, Gcp, Cloud Run, Airflow, data fusion, dbt, Pub Sub, GCS, Dataform
Skills:
Azure Data Factory, Data Modeling, Pyspark, Data Warehousing, Azure Databricks, Metadata-Driven Data Engineering, Azure SQL Database, AI ML Data Preparation
Skills:
Docker, Kubernetes, Terraform, Python, Prometheus, CI-CD
Skills:
snowflake , Databricks, Azure DevOps, GitHub Actions, dbt, Delta Lake
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