Data Engineer
Core
Design, develop, and maintain scalable data pipelines and transformations to support BI, analytics, and data science use cases within a modern data platform.
Role type
Senior Data Engineer (Data Platform)
Builds
Scalable ELT/ETL pipelines, data models, and observability infrastructure for price reporting and intelligence services.
Domain
Financial markets data / Cloud Data Engineering
Required skills
Advanced SQL (Snowflake, MSSQL), Python (Pandas, Snowpark), dbt, Data Modeling (Star Schema, Data Vault), CI/CD, Cloud Services (Azure/AWS/GCP), API Integration, Data Quality (GreatExpectations), Orchestration (Dagster/Airflow) (via careerplan.io/jobs/744000136406559-data-engineer-at-fastmarkets)
Preferred skills
Kubernetes, Terraform, Event Streaming (Kafka), Snowflake Cortex AI, Prompt Engineering
Technologies
Snowflake, dbt, Dagster, GitHub Actions, Kubernetes, Azure, Python, SQL, GreatExpectations, Fivetran, Airbyte
Responsibilities
Design and maintain efficient data pipelines from diverse sources; Transform data using dbt across Cleansed, Conformed, and Presentation layers; Write custom Python connectors and leverage out-of-the-box loading tools; Embed automated data quality checks, validations, and alerting; Manage CI/CD workflows and implement RBAC policies; Leverage AI-assisted development tools for documentation and code generation.
Seniority
Senior, hands-on IC
