Data Engineer II

Data Engineer II

Location:

US-CA-Newport Beach

:

Category:
Engineering

Position Type:
Regular Full-Time

Office Model:
Hybrid

Seniority Level (Linked In):
Associate

Interested in working at a fast-paced growing Fin Tech company? Have a desire to work with the latest technologies including Python, Amazon Web Services (AWS), and custom built API’s? If so, we are excited to have you join the Green Street technology team. We are a group of innovative technologists working together to fuel the growth of one of the fastest growing technology companies in the Commercial Real Estate (CRE) Space.

We are looking to hire a talented, hands-on data engineer, who is interested in working on our cloud-based solutions for pipelining public and private data from multiple sources throughout our systems. You will be working on an Agile team dedicated to parsing and processing, aggregating, and enriching the latest CRE data used by our clients and internal team of researchers to provide the most comprehensive view of the Commercial Real Estate in the world.

What’s it like working with our team of dedicated technologists? We are passionate about great Agile teams, engineering excellence through paired programming, automated testing, close collaboration with each other, and a highly transparent tech organization. You’ll have multiple opportunities to work on interesting projects, move around teams, and engage with some of the brightest engineering minds anywhere.

We love great engineers, and we are excited to get to know you better. Please share your resume today!

• Design and build data ingestion models, ETLs, and testing to maintain data integrity and availability
• Document data models and ER diagrams
• Develop, maintain, and improve current data architecture
• Design and build database schema for financial and real estate data
• Collaborate with research, product, and operations teams to deepen analytical toolkit and improve workflow
• Aid and perform analysis on large aggregated (e.g.: demographic, geographic) datasets

Knowledge &

Skills:

• Proficient in a scripting language (Python preferred)
• Working knowledge of SQL with ability to write complex SQL queries to retrieve and manipulate data sets
• Passion for data organization and relational data structures
• Knowledge of database design, optimization techniques, maintenance, and warehousing
• Experience in Amazon RDS, Redshift, No
  
  SQL techniques (e.g.: Mongo
  
  DB), and similar technologies is a plus

Requirements:

• A Bachelor’s degree in Computer Science / Engineering or comparable experience
• Strong programming skills with 3-5 years of experience in a scripting language (Python preferred)
• Proficient database skills with experience in either MySQL, SQL, or PostgreSQL
• Must enjoy problem solving, have excellent communication skills, and demonstrate attention to detail
• Ability to work independently in a fast-paced, agile environment
• Willingness and desire to keep up with new cloud technologies, languages, standards, and practices
• Prior knowledge of finance or Commercial Real Estate, and previous Git experience is a plus

In addition to the posted base salary range, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here. Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.

Green Street will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Green Street is a forward-thinking real assets company at the forefront of transforming the commercial real estate market with cutting-edge predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of expertise, Green Street empowers investors, lenders, banks, and industry stakeholders across the U.S., Canada, Europe and Asia to make optimized investment…