200+ applicants

Company

Original Job Post

Crexi · 5 days ago

Data Engineer

Los Angeles, CA

Full-time

Onsite

Senior Level

$145K/yr - $180K/yr

5+ years exp

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Commercial Real EstateMarketplace

H1B Sponsorship

Growth Opportunities

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLData EngineeringTest AutomationQuality ControlsReconciliationData StructuresAlgorithmsCustomer InteractionScalable Data PipelinesReliable Data PipelinesSparkHiveTrinoPrestoAirflowKafkaFlinkSnowflakePostgresFeastCloud Service Providers AWSCloud Service Providers AzureCloud Service Providers GoogleMulti-Tenant Data Warehouses SupportAnalytical Tools (Tableau)Data Service Deployment Frameworks DockerData Service Deployment Frameworks KubernetesData Compliance Governance Tools OneTrustData Compliance Governance Tools DataGrail

Required

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

Preferred

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

Company

Crexi

Glassdoor

3.9

Crexi is a technology solution that consolidates commercial real estate tools into a single platform for brokers, investors, and tenants.

Founded in 2015

Los Angeles, California, USA

201-500 employees

https://www.crexi.com

H1B Sponsorship

Crexi has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2022 (2)

2020 (1)