Data Engineer
New York City, NY
Entera
Entera is the leading SaaS and Services platform for Single Family Investors, empowering them to buy, sell and operate their real estate investments, seamlesslyAbout Entera:
We are a venture backed real estate technology company with the leading SaaS + Services platform for residential investors. Powered by machine-learning and 100% online, Entera’s end-to-end residential real estate platform modernizes the real estate buying process to help our clients access and evaluate more properties, scale their operations, make data-driven investment decisions, and win more often.
Many of the largest real estate investors in the world use Entera’s marketplace daily. Entera’s annual transaction run rate is over $3.6B across 24 markets since its launch in 2018. Entera has raised $40M of venture capital from some of the most established & trusted firms in the world. The company is headquartered in New York City, New York and Houston, Texas.
The Role
Entera is a venture backed real estate technology company operating the leading SaaS + Services platform for real estate investors to ideate, transact and operate single family homes. Powered by machine-learning and 100% online, Entera’s end-to-end residential real estate platform modernizes the real estate buying process to help our clients access and evaluate more properties, scale their operations, make data-driven investment decisions, and win more often.
Many of the largest real estate investors in the world use Entera’s marketplace daily. Entera’s annual transaction run rate is over $3.5B across 24 markets since its launch in 2018. Entera has raised $40M of venture capital from some of the most established & trusted firms in the world. The company is headquartered in New York City, New York and Houston, Texas.
As a Data Engineer, you’ll contribute to our best-in-class data pipeline and data-driven culture. You’ll work with multi-discipline experts with hard-science backgrounds in a tight knit team to deliver on our efforts around data curation and management. You’ll work with modern ETL frameworks to prepare data for exposure to both our internal business users and customers via BI tools, internal APIs, and custom built services. Within our team, you’ll be able to further develop your skills and work with a team of experts to deliver on massive improvements to our data pipeline and associated systems.
What You'll Do:
- Use Python and SQL to improve upon a best-in-class data pipeline and develop our workflows
- Contribute to cloud-first services that support our analysis, reporting, and metrics collection efforts
- Use agile software development processes to iteratively make improvements to our data systems
- Support development processes with maintenance of CI/CD pipelines
- Deliver on detailed specifications for business intelligence and reporting needs
- Work with product and engineering in cross-functional teams to deliver on improvements to our systems
- Craft and maintain data workflows in our ETL infrastructure
- Construct infrastructure for introducing new datasets into our data warehouse (Snowflake)
- Develop software to make it easier to build such workflows (like, adding new datasets in the future)
- Synchronize data from our warehouse to other services (internal APIs, third-party SaaS tooling)
- Maintain ETL software dependencies in Docker
- Manage configuration and access to our data-related cloud resources and data warehouse using Terraform
- Contribute to and further develop our data-driven culture
Who You Are:
- MS or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or similar hard-science
- 3+ years hands-on experience in Data Engineering at growing product-driven tech companies
- Proficiency in AWS cloud services
- Advanced capabilities in Python and SQL
- Production experience with Airflow, Prefect, or similar workflow orchestration frameworks
- Experience with Snowflake
- Software development background (familiarity with version control systems, CI/CD, testing, system design)
- Strong analytical and problem solving skills
- Nice to have:
- Understanding of dbt or similar data transformation frameworks
- Understanding of Spark
Entera is proud to be an equal opportunity employer (EEO) that celebrates difference and diversity. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
Entera is proud to be an equal opportunity employer (EEO) that celebrates difference and diversity. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We are committed to building an inclusive work environment where all employees feel a sense of belonging and respect. If there is anything we can do to ensure you have a comfortable and positive interview experience, please let us know.
Tags: Agile Airflow APIs AWS Business Intelligence CI/CD Computer Science Data warehouse Docker Economics Engineering ETL Mathematics PhD Physics Pipelines Python Snowflake Spark SQL Statistics Terraform Testing
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