Data Engineer responsible for designing and maintaining data pipelines for Fable's AI-native Human Behavior Platform. Collaborating with data scientists and engineers to ensure robust data infrastructure.
Responsibilities
Design, build, and maintain scalable data pipelines in Databricks, leveraging dbt, SQL, and Python for transformation and orchestration.
Manage data ingestion and versioning across multiple behavioral and security data sources.
Implement data versioning frameworks and reproducible datasets for experimentation and risk modeling.
Build tooling to support scalable data releases and consistent historical tracking of employee risk behavior.
Partner with data scientists to productionize analytical and ML-ready datasets.
Define and maintain best practices for data quality, documentation, and lineage.
Optimize performance, storage, and cost efficiency across the data platform.
Contribute to infrastructure that enables secure and compliant data workflows in AWS (S3, IAM, Lambda, etc.).
Requirements
3–7 years of experience as a Data Engineer, Analytics Engineer, or similar role.
Proficiency in SQL, Python, and dbt for data modeling and transformation.
Experience building and maintaining pipelines in Databricks, Spark, or similar distributed compute environments.
Strong understanding of data versioning, reproducibility, and ETL orchestration.
Hands-on experience with AWS S3 and modern data storage patterns.
Ability to design for scalability, reliability, and observability.
Experience collaborating closely with data scientists, designers, and backend engineers in a fast-moving environment.
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