Senior Data Engineer – Mortgage Data & Azure ETL Leader

Planet; Oregon; Ibrido; USD 110.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical plans

Disability insurance

Life insurance

401(k)

Employer paid holidays

Supplemental benefits

Descrizione del lavoro

Planet is seeking a Sr Data Engineer to design, implement, and optimize scalable data solutions using Azure cloud services. You will build robust ETL pipelines, enhance data warehouses, and mentor junior engineers, driving business insights in a mortgage-focused environment.

Applicants should bring 5+ years in data engineering, strong SQL/Python skills, and experience with cloud-based data architectures. This role is based in Oregon and offers a collaborative, fast-paced setting.

Competenze

• Bachelor’s degree in computer science, information technology, or related field, or equivalent work experience.
• Minimum 5 years progressive data engineering experience; mortgage industry experience preferred.

Mansioni

• Designs and implements scalable ETL pipelines using Azure services.
• Optimizes data warehouse architecture and performance.
• Leads data integration projects and mentors junior engineers.
• Establishes data quality standards and monitoring systems.
• Collaborates with stakeholders to understand data requirements.
• Develops and maintains documentation for data processes.

Conoscenze

Azure cloud

Data engineering

Mortgage industry knowledge

Leadership

Communication

Formazione

Bachelor's degree in CS/IT or related field

Strumenti

Azure Data Factory

Synapse Analytics

Databricks

Logic Apps

Key Vault

Python

PySpark

SQL

T-SQL

C#

.NET

Scala

PowerBI

Tableau

SSIS

Azure DevOps

Git

Descrizione del lavoro

Planet is seeking a Sr Data Engineer to design, implement, and optimize scalable data solutions using Azure cloud services. You will build robust ETL pipelines, enhance data warehouses, and mentor junior engineers, driving business insights in a mortgage-focused environment.

Applicants should bring 5+ years in data engineering, strong SQL/Python skills, and experience with cloud-based data architectures. This role is based in Oregon and offers a collaborative, fast-paced setting.