Forbright BankRemote
Senior Data Engineer
United States of America
Full Time
1 hour ago
$140,000 - $156,000 USD
H1B Sponsor
Key skills
SQLData ModelingData Transformation ToolsSnowflakeApache AirflowCloud-based Data EnvironmentsData Vault ArchitectureData GovernanceMetadata ManagementMicrosoft OfficeSelf-motivatedData EngineeringAirflowdbtAWSAzureGCPTerraformVaultCommunicationTime Management
About this role
Forbright Bank is a nationwide full-service bank and commercial lender dedicated to building a brighter future for clients and communities. The Senior Data Engineer will focus on Data Modeling and collaborate with various teams to create efficient data models that support the bank's operations and decision-making processes.
Responsibilities:
- Utilize SQL and data transformation tools (like DBT and Coalesce) to develop and deploy abstracted data models following the “Medallion” concept (Bronze, Silver, Gold)
- Leverage Snowflake features (data sharing, dynamic tables, RBAC, Notebooks, Streamlit apps, Workspaces, Cortex, etc.) to provide reliable and efficient access to models
- Collaborate with other engineering teams as well as business analysts and end-users to develop requirements and design useful data models
- Clean up and translate legacy SQL logic and data models for a new unified representation system
- Develop DAGs in Apache Airflow for delivering data products to internal and external partners
- Manage Snowflake and Airflow related infrastructure with Terraform
- Perform other duties as assigned
Requirements:
- Bachelor's Degree in Software Development, Computer Engineering, or equivalent required
- Minimum 6 years of experience in data engineering or software development required
- Strong SQL skills for data extraction and transformation
- Experience in Data Modeling and familiarity with ‘Medallion' concepts
- Familiarity with data transformation tools (Coalesce, DBT, etc.) required
- Familiarity with data governance and metadata management
- Familiarity with cloud-based data environments (e.g., Azure, AWS, or GCP)
- Proficiency with Microsoft Office tools (Outlook, Word, PowerPoint, Excel)
- Excellent verbal, written, and interpersonal communication skills
- Strong organizational skills and attention to detail
- Outstanding problem-solving and time management skills
- Self-motivated, self-directed, and results-oriented
- Adaptable and able to multitask in a fast-paced environment
- Can work independently and within a team; solution-oriented with a collaborative approach
- Master's Degree preferred
- Experience in banking/ financial data preferred
- Familiarity with Data vault architecture concepts preferred