What We Do And Why We Do It

As the leading end-to-end investment platform for single-family rental homes (SFR), our mission is to make real estate investing radically accessible, cost effective, and simple. We successfully merge our passion for helping investors build wealth through real estate with cutting edge technology that transforms the way they do it. 

How It’s Going (and Growing)

With a talented team of 600+ Roofsters, our collaborative, can-do culture is what fuels our growth. Early last year we closed on our Series E, raising $240 million, and have offices in California, Texas, and New York as well as many remote opportunities. Our growth includes recent acquisitions of Great Jones (full-service property management), Stessa (financial management software) to empower customers with a seamless way to acquire, manage, and track their investment properties on one platform, RentPrep (tenant screening and placement service for landlords), and Mynd (property management platform for both Retail and Institutional investors).

About The Team

The Data Engineering team is the core of Data, which everything else relies upon. The team is responsible for the development and management of the Enterprise Data Platform, which powers the company and all respective Data functions. The Enterprise Data Platform is crucial for integrating, managing, and providing data across the business. There are multiple sub-disciplines within Data Engineering, each contributing to the overall effectiveness and efficiency of data operations. It is a highly cohesive team consisting of the 4 pods, Data Infrastructure, ML & GenAI Ops, Analytics Engineering & Data Services.

We architect and build the core data infrastructure to support the entire company, build data ingestions from internal & external applications, support infra for ML & GenAI products and applications, merge various data feeds and combining them into easy to use, valuable data sets to support analytics and design and create scalable and packaged data solutions in the form of various data services.

About The Role

We are looking for a talented Data Engineer to join the Data Services pod in our established Data Engineering team. As a Data Engineer on the Data Services pod, you will be instrumental in architecting and constructing a new version of the data services platform, Data Services 2.0! We operate a modern all-cloud data stack that includes AWS, Airflow, Docker, DBT, Python, Snowflake, Sigma, Java/Kotlin and our old friend SQL. If you thrive in a team environment, are willing to pitch in wherever needed to help the team succeed, are passionate about data and excited about empowering users with data to drive decision making, Roofstock is the place for you.

What You Will Do

Improve and maintain the data services platform.
Deliver high-quality data services promptly, ensuring data governance and integrity while meeting objectives and maintaining SLAs for data sharing across multiple products.
Develop effective architectures and produce key code components that contribute to the design, implementation, and maintenance of technical solutions.
Integrating a diverse network of third-party tools into a cohesive, scalable platform, optimizing code for enhanced scalability, performance, and readability.
Continuously improving system performance and reliability by diagnosing and resolving unexpected operational issues to prevent recurrence.
Ensuring that your team’s work undergoes rigorous testing through repeatable, automated methods.
Support data infrastructure and rest of the data team who designs, implements and deploys, scalable, fault-tolerant pipelines that ingest, and refine large diverse (structured, semi-structured and unstructured datasets) into simplified accessible data models in production
Collaborate with cross-functional teams to understand data flows and design, build and test optimal solutions for engineering challenges.
Operate within an Agile/Scrum framework, working closely with Product and Engineering teams to deliver value across multiple services and products.
Influence and shape the enterprise data platform and services roadmap, architecture, and design standards. Collaborate with technology leaders and team members to design, adapt, and enhance the architecture to meet evolving business needs.

Qualifications

BS or MS in a technical field: computer science, engineering or similar
5+ years technical experience working with data
5+ strong experience building scalable data services and applications using either SQL, Python, Java / Kotlin, with the interest and aim to learn additional tools and technologies.
Deep understanding of microservices architecture and RESTful API development including gRPC, REST/SOAP, GraphQL
Experience with AWS services including Messaging such as SQS, SNS, and familiarity with real-time data processing frameworks such as Apache Kafka or AWS Kinesis.
Significant experience building and deploying data-related infrastructure, robust data pipelines (beyond simple API pulls) & ETL/ELT code encompassing messaging, storage, compute, transformation, execution.
Strong understanding of data architecture and related problems
Experience working on complex problems and distributed systems where scalability and performance are extremely important (every millisecond counts)
Experience in identifying and proposing initiatives aimed at enhancing the performance and efficiency of existing systems, setting the standard for SLAs & SLOs.
Strong communication and interpersonal skills
Should be independent and able to effectively work with cross functional teams
Experience managing a team or experience working with an on-shore/off-shore model is a plus

Nice-to-haves

Knowledge of AWS and Azure cloud services.
Previous experience in a start-up or agile environment.
Bonus points for experience with Snowflake, Airflow

Conditions

You speak English fluently.
You are an independent engineer (not a part of the agency) and able to work ~40 hours/week Monday-Friday and be available 9am-12pm Pacific Time Zone.
You're committed to being available until noon Pacific time zone (not particularly working - answering in Slack and participating in occasional meetings).
Camera and microphone are required during the interview, once hired during team meetings/discussions/etc.
Remote work with a distributed team of engineers located across the Americas and Eurasia
Weekly wages

Location

Remote, International - Central EU or Americas (non US)

Compensation

The compensation range may be adjusted based on experience and location

Any offer of employment is conditioned upon the successful completion of a background investigation.

Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

Roofstock jobs

Data Engineer, Data Services