Staff Data Engineer

Staff Data Engineer


Remote (U.S.)

Our client is a growth-stage, NYC-headquartered FinTech company that is creating the best rent-payment experience. It's hard to believe that it's 2025 and paying rent on time is still expensive, inflexible, and difficult. They are here to change that. Our client enables users to pay rent throughout the month on a schedule that better fits their finances and budget. Their mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as they built up unprecedented investor support and an enthusiastic user base, they are now looking for motivated individuals to help keep their mission growing. Will you be a part of the team?

Our client's Engineering organization is seeking Staff Engineers to join the Data Infrastructure team that is shaping the future of their finance data platforms. The Data Infrastructure team is dedicated to building a scalable, modern data platform to support their current and future financial products with a cutting-edge, forward-thinking approach. The goal is to empower all facets of the business with Machine Learning and Business Intelligence, enhancing end users' ability to better utilize their data. The team's impact extends beyond reporting and analytics; their tools directly influence the growth and strategy of the company's future direction. At our client, there is a culture of data-driven decision-making, and they demand data that is timely, accurate, and actionable.

What You'll Do

• Design, implement, and maintain high-quality data infrastructure services, including but not limited to 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.

What They're Looking For

• 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, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
• Industry experience with big-data platforms and tools such as Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
• Industry experience working with relational and NoSQL databases in a production environment.
• Strong fundamentals in data structures, algorithms, and design patterns.

Core competencies:

• Prior experience working on cross-functional teams.
• Experience with CI/CD to improve code stability and code quality.
• Motivation to help other engineers succeed and be effective.
• Excitement to work in an ambiguous, fast-paced, high-growth environment.

The salary compensation range for this role will be commensurate with the candidate's experience and our client's internal leveling guidelines and benchmarks.

They understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self-aware people to grow a successful company. Their HQ is located in New York City, but they have employees throughout the U.S., Australia, Canada, and South America. They are growing quickly-but deliberately-with a focus on building an inclusive culture. Their dynamic team has incredible perspectives to share, just as they know you do, and they take great pride in being an equal-opportunity workplace.

For full-time U.S.-based employees, they offer:

• Competitive medical, dental, and vision coverage from Day 1
• Company equity
• 401(k) plan with company match (matching begins in 2026)
• Unlimited paid time off + 13 company-paid holidays
• Parental leave
• Flex Cares Program
• Free subscription to their product

For full-time non-U.S. employees, they offer:

• Competitive compensation + company equity
• Unlimited PTO