Full-Time

Senior Data Engineer

Updated on 12/4/2024

Essex

Essex

Education

Compensation Overview

$116k - $175kAnnually

+ Annual Bonus

Senior

Irvine, CA, USA

Requires in-person presence at the corporate office in Irvine for a minimum of 3 days per week (Mondays, Tuesdays, and Wednesdays).

Category
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Python
SQL
AWS
Development Operations (DevOps)
Snowflake
Google Cloud Platform
Requirements
  • Bachelor's degree (B.A./B.S.) from a four-year college or university in computer science, engineering, or related field.
  • 5+ years of demonstrable professional experience working as a Data Engineer.
  • Proficiency in implementing scalable data models and schemas.
  • Practical knowledge of DevOps best practices.
  • Strong understanding and hands-on experience of data warehousing concepts and techniques.
  • Strong programming skills in Python and SQL.
  • Experience with cloud computing platforms such as AWS, Google Cloud or Azure.
  • Familiarity with data integration and ETL tools.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a fast-paced and dynamic environment.
  • Effective communication and collaboration abilities.
  • Prior multi-family real estate experience a plus.
  • Good meme selection, passion for data and desire to have fun.
  • Experience building data models preferred.
  • Experience with Snowflake, dbt, AWS, Matillion, and Yardi preferred.
Responsibilities
  • Design, build, and maintain scalable and high-performance data pipelines and infrastructure.
  • Collaborate with stakeholders to understand requirements and develop efficient data assets.
  • Implement data integration, transformation, and cleanse pipelines using industry best practices.
  • Design and implement data models and schemas to support business reporting and analytics.
  • Identifying and resolving performance bottlenecks and data quality issues.
  • Managing and monitoring data storage, backup, and recovery systems.
  • Performing data validation, testing, and ongoing data quality assurance.

Company Stage

N/A

Total Funding

N/A

Headquarters

Colchester, United Kingdom

Founded

N/A

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