Staff Data Engineer (Remote - US)
Description For Staff Data Engineer (Remote - US)
Join a dynamic fintech company that's revolutionizing the rental payment landscape as a Staff Data Engineer. In this role, you'll be instrumental in building and scaling a modern data platform that drives real-time analytics, machine learning, and business intelligence across the organization. Working with cutting-edge technologies like Snowflake, DBT, AWS services, and various big data tools, you'll architect solutions that directly impact financial operations and product development.
The position offers an excellent compensation package, with salaries ranging from $199,000 to $237,000 depending on location, along with comprehensive benefits including equity, full healthcare coverage, and unlimited PTO. As a remote position, you'll collaborate with a global team while maintaining work-life flexibility.
Your expertise in data engineering will be crucial as you design and implement scalable data infrastructure, develop robust pipelines, and optimize data warehouse environments. With 8+ years of experience required, you'll bring advanced proficiency in Python, SQL, and various big data technologies to build solutions that power the company's growth.
The role combines technical leadership with hands-on development, requiring both architectural vision and practical implementation skills. You'll work closely with cross-functional teams, mentor others, and help drive the company's data-driven culture forward. This is an opportunity to make a significant impact at a company that's reshaping how people handle their largest monthly expense while working with modern technologies and practices.
Responsibilities For Staff Data Engineer (Remote - US)
- Design and implement scalable data infrastructure solutions such as Data Lakes, Kafka, Kinesis, and secure data access layers
- Develop robust DBT models and pipelines to support analytics, reporting, and ML modeling
- Build and manage real-time streaming pipelines and offline ETL processes
- Own and optimize the data warehouse environment using Snowflake
- Automate and improve operational workflows and infrastructure
- Collaborate with cross-functional teams to translate data needs into scalable solutions
- Document architecture decisions, processes, and best practices
Requirements For Staff Data Engineer (Remote - US)
- 8+ years of experience in data engineering or data infrastructure roles
- Advanced proficiency in Python and SQL; Java knowledge is a plus
- 4+ years of hands-on experience with DBT and Snowflake in a production setting
- Strong experience with IaC tools such as CDK and Terraform
- Deep familiarity with AWS services including Lambda, Glue, Step Functions, EMR, and RDS
- Solid understanding of big data tools such as Kafka, Spark, Hadoop, Hive, and Airflow
- Hands-on experience with both relational and NoSQL databases
- Strong grasp of data structures, algorithms, and design patterns
- Effective communicator with ability to work across cross-functional teams
- Comfortable in fast-paced, high-growth environments and motivated to mentor others
Benefits For Staff Data Engineer (Remote - US)
- Competitive base salary: $221,000–$237,000 for NY/NJ/CA, $199,000–$213,000 for all other U.S. locations
- Company equity and 401(k) plan
- 100% company-paid medical, dental, and vision insurance
- Unlimited paid time off and 13 company holidays
- Generous parental leave
- 'Flex Cares' program: Non-profit donation match and pet adoption support
- Free Flex subscription
- Fully remote work with teammates across the U.S., Canada, Australia, and South America
- Inclusive, collaborative culture that values diversity and continuous learning
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