Sr. Data Engineer (Azure/Databricks/Python)

loanDepot • Irvine, CA

1d • Hybrid

About The Position

Responsible for delivering senior level innovative and compelling software solutions for our consumer, internal operations, and value chain constituents across a wide variety of enterprise applications. The job duties and requirements are defined for backend. Provides technical leadership and mentorship to junior team members.

Requirements

• Bachelor’s Degree required, and a minimum of four (5)+ related work experience.
• Design and implementation of data lake, data warehouse and data mart.
• Web API, REST, GraphQL, XML/JSON.
• ETL/ELT, and one of data engineering languages (Python/Java/Scala).
• ADF, ADLS, Airflow, DBT and any of cloud-native data warehouse (Snowflake, Databricks, BigQuery).
• Strong SQL experience, with expert-level skills in query performance tuning and data modeling.
• Designs enterprise database systems using Microsoft SQL Server.
• Has working knowledge of GIT.
• Develops branching and merging strategies.
• Ability to design, develop, and maintain scalable, reusable code.
• Estimates tasks with a level of granularity and accuracy commensurate with information provided to ensure expectations of delivery are reasonable.
• Excels in a rapid iteration environment with short turnaround times.

Nice To Haves

• Knowledge of cubes and SSAS is a plus.
• Knowledge of SSRS, Power BI, and Tableau a plus.

Responsibilities

• Designs, develops, and delivers solutions that meet business line and enterprise requirements.
• Creates data and reporting infrastructure by building and optimizing production-grade data pipelines using continuous integration/ continuous deployment.
• Participates in rapid prototyping and POC development efforts.
• Understand business and technical requirements and constraints to design effective data engineering solutions.
• Assists in efforts to develop and refine functional and non-functional requirements.
• Champion engineering excellence, including software design patterns, code reviews and automated unit/functional testing.
• Create conceptual architectures and detailed designs for data engineering solutions.
• Contributes to overall enterprise technical architecture and implementation best practices.
• Participates in iteration and release planning.
• Performs other duties and projects as assigned.

Benefits

• Comprehensive benefits package including Medical/Dental/Vision
• Wellness program to support both mental and physical health
• Generous paid time off for both exempt and non-exempt positions
• Extensive internal growth and professional development opportunities including tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees