Sr. Data Engineer - Q3 2022

At Northspyre, you’ll join the incredible journey of transforming the way modern real estate teams manage complex projects. Leveraging data, automation and artificial intelligence, Northspyre helps facilitate faster, more predictable outcomes on complex real estate projects. In 4 years, our platform has already facilitated more than $30 billion of complex projects across the United States.

We are a passionate, collaborative, and diverse team who are eager to roll-up our sleeves  and make an impact at a startup that has the confidence and backing of some of the same investors who backed other revolutionary, industry transforming companies like SpaceX, Tesla, and Airbnb.

Help us build software that builds the world!

About the opportunity:

Northspyre is looking for an experienced Sr. Data Engineer to join our fast-growing, venture-backed start-up team. This is an opportunity to make a huge impact at a start-up disrupting the 10.5 trillion dollar real estate industry. We are a lean organization with minimal red-tape that prides itself on getting things done efficiently and effectively.

An ideal candidate is someone who is hands-on and self-driven and not afraid to dive into problems with minimal supervision. They should be able to set the foundation and scale our data infrastructure and help drive our vision forward.

You will be responsible for:

• Laying the foundation for our data infrastructure including but not limited to architecting and building out scalable systems like data pipelines, data warehouses, data lakes and all accompanying infrastructure.
• Building out statistical and ML models that can run on a production scale.
• Supporting data science, data analytics, engineering, and partnering stakeholders.
• Conceptualize and generate infrastructure that allows data to be accessed and analyzed effectively
• Communicating with team members clearly and effectively.
• Collaborating with product, engineering and infra teams to deliver on key objectives.

What we are looking for:

• Bachelor’s / Master’s / PHD in Computer Science / Statistics or similar technical field of study or equivalent practical experience.
• 4+ years of experience as a Data Engineer / Data Scientist or related data field.
• Demonstrated knowledge and experience in building and supporting data pipelines and data warehouses.
• Advanced understanding of SQL.
• Experience with Statistical Modeling and ML.
• Server-side development experience utilizing Python and Java
• Experience working and building within AWS platform - RDS, Redshift
• Ability to thrive in a fast paced environment and deliver results
• Ability to lead and own data projects end to end

Why Northspyre

• In addition to a competitive salary, we are offering a meaningful stock option package
• Comprehensive Medical, Dental, and Vision
• Introducing our 401K in Q1 2022 with company match
• Unlimited Vacation, Paid Sick Leave, and major US Holidays
• $45 monthly stipend towards ClassPass (fitness/spa)
• Awesome company swag!
• Free access to Health Advocate
• Remote-first work environment -we have an office in NYC, but our teammates are all over the United States and around the world
• You will be part of a small, professional fast-moving team with minimal supervision
• Annual team gatherings in NYC

Top Three Reasons to Join

#1: It’s the Right Time – We’ve already facilitated more than $30 billion of complex projects across the United States

#2. Northspyre has the right product – Our technology empowers modern real estate teams to build leveraging data, automation and artificial intelligence to get to faster, more predictable outcomes on complex projects.

#3. Northspyre celebrates a culture of creativity – We strive to have a sense of community within Northspyre that encourages diverse viewpoints, openness, and fostering an environment in which employees feel comfortable bringing their whole authentic selves to work. 

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.