Data Engineer II
About The Position
Interested in working at a fast-paced growing FinTech 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!
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
- Experience with writing API
- 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
Nice To Haves
- Prior knowledge of finance or Commercial Real Estate, and previous Git experience is a plus
- Experience in Amazon RDS, Redshift, NoSQL techniques (e.g.: MongoDB), and similar technologies is a plus
Responsibilities
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
