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Sponsorisé par CareerFoundryAbout Crexi
Crexi is reimagining commercial real estate, building industry-leading software for professionals to more effectively market, analyze, and trade commercial property. With a suite of due diligence tools, transaction services, deal pipeline support, and a dynamic listing marketplace, Crexi accelerates deal efficiency and has empowered millions of monthly users to close more than $615 billion in deals and market over $7 trillion in property value.
What You'll Do
- Work with the data curation lead and data science team to create labeling experiments in LabelStudio on a variety of different datasets, including image, web, text, and pdf modalities.
- Create and maintain datasets that are used in these labeling experiments.
- Building and optimizing 'big data' data pipelines, architectures and data sets using AWS cloud services and SnowFlake
- Work with data engineers and the data science team on engineering systems/designs/architecture
- Build processes supporting data transformation, data structures, metadata, dependency and workload management using DBT and Airflow or similar tools.
- Creating a strong test suite, alerting, monitoring and documentation for all the pipelines
Who You Are:
- BS degree in Computer Science or relevant work experience
- Experience building machine learning labeling systems
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL/NoSQL databases and data stores like MSSQL, Dynamodb.
- Proficient in Python
- Experience with Data Engineering best practices including Test Automation, Quality Controls, Reconciliation, Documenting data flows, etc.
- Have thorough knowledge of data structures and algorithms
- Have experience working with customers to understand and capture requirements
- Experience with data stores like Snowflake, Postgres, Feast
Pluses:
- Experience with LabelStudio
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores using Hadoop, Spark, Kafka, etc.
- Experience labeling video or speech content
- Experience with cloud service providers, including AWS, Azure, or Google
- Knowledge of data service and deployment frameworks, including Docker, and Kubernetes
- Experience with data compliance and governance tools like OneTrust or DataGrail
- Experience with the Kafka
Why Crexi?
- Join a rapidly growing startup with a collaborative and dynamic work culture
- Enjoy career progression opportunities in a flexible, fast-paced environment
- Comprehensive health, dental, and vision insurance
- Unlimited snacks and engaging team activities
- Contribute to a product that is reshaping the commercial real estate industry
The anticipated salary range for candidates who will work in our Playa Vista, California location is $______to $______. The final salary offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, education, geographic location, etc. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states.
Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
