Senior Software Engineer, Data Platform

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 building backend services and REST APIs Experience with web frameworks such as FastAPI, Flask, Django, or similar Solid SQL skills and hands-on experience with modern cloud data warehouses (Snowflake strongly preferred) Experience designing and building production APIs with proper authentication, versioning, and error handling Familiarity with CI/CD, automated testing, and operational reliability practices A track record of shipping reliable, well-tested services in production environments Comfort navigating ambiguity and driving projects forward with minimal oversight Preferred: Experience with data pipeline development using tools like Airflow, Airbyte, Dagster, or similar Familiarity with dbt or similar transformation frameworks Experience in fintech, payments, or other financial services environments Familiarity with AWS services (Lambda, S3, RDS, API Gateway, ECS/Fargate) Kafka or event streaming experience Infrastructure-as-code experience (Terraform, Pulumi) Experience at a company processing high transaction volumes where correctness and reliability are non-negotiable The annual US salary range for this role is $146,000 – $230,000 plus equity. This salary range is inclusive of seve ... (truncated, view full listing at source)