Data Engineer, Infrastructure
To see similar active jobs please follow this link: Remote Development jobs
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 Infrastructure pod in our established Data Engineering team.
As a Data Engineer on the Data Infrastructure pod, you will be instrumental in developing and maintaining data solutions and data pipeline infrastructure supporting broader data-heavy functions within the company, including Reporting, Analytics and Data Science. The Data Engineer collaborates with Software Development and DevOps teams to maintain scalability, reliability and maintainability of the company’s overall technical stack. The Data Engineer also works closely with business and product teams to ensure timeliness and efficiency of data-driven decision making.
The primary focus of this role is to design, develop and implement clean and structured data for use by analysts and reporting. Responsibilities also include quality documentation and adherence to Data Engineering best practices.
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.
Key Responsibilities
Operates in a remote-first environment collaborating with individuals and teams distributed across multiple time zones worldwide
Works with internal partner teams, and, occasionally, external partners on defining the scope and the requirements for Data Engineering projects
Designs, develops and implements Data Engineering solutions
Maintains work performance, transparency, and process compliance through usage of the company’s task tracking tools and communication channels
Participates in projects of a broader Engineering and Data teams by acting as SME and as a contributor to business and engineering initiatives
Works on continuous improvement of Roofstock Data Engineering practices through platform/tools evaluation, documentation, knowledge sharing, etc
Qualifications
Typically 4+ years of technical experience
Flexibility in adjusting to technology stack selection. Ability and desire to learn new technologies quickly
Strong proficiency in data modeling
SQL fluency, preferably with exposure to multiple dialects
Scripting skills relevant to development of data pipelines (strong preference for Python)
Understanding of QA practices relevant to Data Engineering
Familiarity with source control tools and CI/CD
Understanding of performance tuning across multiple components of the technical stack
Nice-to-haves
Knowledge of AWS and Azure cloud services.
Previous experience in a start-up or agile environment.
Technologies we like
Bonus points for more extensive experience with Roofstock’s data stack - AWS, Snowflake, Fivetran, Airflow, DBT and Sigma
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.
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.
Pay Transparency
Our compensation reflects several US geographic markets. The base pay for this position represents the expected salary for this position. Ultimately, in determining your pay it will be based on several factors including location, job-related knowledge, skills, experience and other job related factors. Roofstock is a total compensation company; the base salary is only part of our total compensation package.
Competitive & Unique Benefits Package:
Generous PTO Policy
13 Paid Holidays
Volunteer Time Off
Paid Parental Leave
401k Program
Wellness and home office/cell phone subsidies
Robust health, dental, vision insurance, and more
Commitment to Equal Employment Opportunity
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.
#LI-REMOTE
#LI-VS1
Data Engineer, Infrastructure
To see similar active jobs please follow this link: Remote Development jobs
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 Infrastructure pod in our established Data Engineering team.
As a Data Engineer on the Data Infrastructure pod, you will be instrumental in developing and maintaining data solutions and data pipeline infrastructure supporting broader data-heavy functions within the company, including Reporting, Analytics and Data Science. The Data Engineer collaborates with Software Development and DevOps teams to maintain scalability, reliability and maintainability of the company’s overall technical stack. The Data Engineer also works closely with business and product teams to ensure timeliness and efficiency of data-driven decision making.
The primary focus of this role is to design, develop and implement clean and structured data for use by analysts and reporting. Responsibilities also include quality documentation and adherence to Data Engineering best practices.
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.
Key Responsibilities
Operates in a remote-first environment collaborating with individuals and teams distributed across multiple time zones worldwide
Works with internal partner teams, and, occasionally, external partners on defining the scope and the requirements for Data Engineering projects
Designs, develops and implements Data Engineering solutions
Maintains work performance, transparency, and process compliance through usage of the company’s task tracking tools and communication channels
Participates in projects of a broader Engineering and Data teams by acting as SME and as a contributor to business and engineering initiatives
Works on continuous improvement of Roofstock Data Engineering practices through platform/tools evaluation, documentation, knowledge sharing, etc
Qualifications
Typically 4+ years of technical experience
Flexibility in adjusting to technology stack selection. Ability and desire to learn new technologies quickly
Strong proficiency in data modeling
SQL fluency, preferably with exposure to multiple dialects
Scripting skills relevant to development of data pipelines (strong preference for Python)
Understanding of QA practices relevant to Data Engineering
Familiarity with source control tools and CI/CD
Understanding of performance tuning across multiple components of the technical stack
Nice-to-haves
Knowledge of AWS and Azure cloud services.
Previous experience in a start-up or agile environment.
Technologies we like
Bonus points for more extensive experience with Roofstock’s data stack - AWS, Snowflake, Fivetran, Airflow, DBT and Sigma
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.
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.
Pay Transparency
Our compensation reflects several US geographic markets. The base pay for this position represents the expected salary for this position. Ultimately, in determining your pay it will be based on several factors including location, job-related knowledge, skills, experience and other job related factors. Roofstock is a total compensation company; the base salary is only part of our total compensation package.
Competitive & Unique Benefits Package:
Generous PTO Policy
13 Paid Holidays
Volunteer Time Off
Paid Parental Leave
401k Program
Wellness and home office/cell phone subsidies
Robust health, dental, vision insurance, and more
Commitment to Equal Employment Opportunity
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.
#LI-REMOTE
#LI-VS1