About 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

Advanced 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.
Building and optimizing ’big data’ data pipelines, architectures and data sets using AWS cloud services and SnowFlake
Design & support a multi-tenant SnowFlake data warehouse
Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Build processes supporting data transformation, data structures, metadata, dependency and workload management using DBT and Airflow or similar tools.
Working knowledge of message queuing, stream processing, and highly scalable ’big data’ data stores using Hadoop, Spark, Kafka, etc.
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
5+ years of experience in developing data pipelines and databases
Proficient in Python and SQL
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 building highly scalable and reliable data pipelines using technologies like Spark, Hive, Trino/Presto, Airflow, Kafka, and/or Flink.
Experience with data stores like Snowflake, Postgres, Feast

Pluses

Experience with cloud service providers, including AWS, Azure, or Google
Experience supporting multi-tenant data warehouses
Familiarity with Analytical tools like Tableau
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

The anticipated salary range for candidates who will work in our Playa Vista, California location is $145,000 to $173,000. 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.

Compensation Overview

6 month growth

1 year growth

2 year growth