Staff Data Engineer

Flex

full-time

Posted on: 9/5/2025

Location: California • 🇺🇸 United States

✨ AI Apply

💰 $199,000 - $262,000 per year

Lead

AirflowAWSCassandraETLHadoopJavaKafkaNoSQLPythonSparkSQLTerraform

About the role

Design, implement, and maintain high-quality data infrastructure services, including Data Lake, Kafka, Amazon Kinesis, and data access layers
Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling
Closely collaborate with the Analytics team for data modeling, reporting, and data ingestion
Create scalable real-time streaming pipelines and offline ETL pipelines
Design, implement, and manage a data warehouse that provides secure access to large datasets
Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
Create engineering documentation for design, runbooks, and best practices
Shape the future of finance data platforms to enable Machine Learning and Business Intelligence across the company

A minimum of 8 years of industry experience in the data infrastructure/data engineering domain
A minimum of 8 years of experience with Python and SQL
Java experience is a plus
A minimum of 4 years of industry experience using DBT
A minimum of 4 years of industry experience using Snowflake and its basic features
A minimum of 4 years of industry experience using Infrastructure as Code tools, specifically CDK and Terraform
Strong written and verbal communication skills for key collaboration
Familiarity with AWS services (Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR)
Industry experience with big data platforms and tools such as Kafka, Hadoop, Hive, Spark, Cassandra, Airflow
Industry experience working with relational and NoSQL databases in a production environment
Strong fundamentals in data structures, algorithms, and design patterns
Prior experience working on cross-functional teams
Experience with CI/CD to improve code stability and code quality
Motivated to help other engineers succeed and be effective
Comfortable working in an ambiguous, fast-paced, high-growth environment