Senior Software Engineer, Data Platform - Lithic

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.

Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic 's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.

We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.

We're a team of 160+ across 26 states and 7 countries, headquartered in New York City.

We're hiring a Senior Software Engineer to join our Infrastructure team and build the backend services and APIs that make Lithic 's data accessible across the organization. You'll spend roughly 80% of your time designing and building production backend services — REST APIs that serve data from Snowflake and other sources to internal teams and systems — and 20% supporting our data platform (pipelines, dbt, Airflow). You'll partner closely with the Analytics Engineering team to expose well-modeled data through clean, reliable APIs.

Job responsibilities:

Software Engineering (~80%)

• Design, build, and maintain backend services and REST APIs that serve data from various SQL subsystems and other data sources
• Develop well-tested, production-grade Python services with clean API contracts, proper authentication, versioning, and error handling
• Work closely with the Analytics Engineering team to expose modeled data (billing, settlement, finance) through APIs that downstream consumers can rely on
• Build internal tooling and services that enable the broader organization to self-serve their data needs without writing SQL
• Participate in code reviews, system design discussions, and engineering best practices across the Infrastructure org
• Contribute to service observability: logging, metrics, alerting, and on-call practices for the services you own

Data Engineering (~20%)

• Maintain and improve existing data pipelines that move data from source systems into Snowflake (Airflow, Airbyte)
• Contribute to the dbt project alongside the Analytics Engineering team — model improvements, test coverage, and data quality
• Support data governance practices including access controls, lineage documentation, and data quality standards

Qualifications:

Required:

• Strong Python proficiency with experience