Hybrid Senior Data Engineer

at Rain

• Job title: Senior Data Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, BigQuery, Cloud, ETL, Python, SQL
• Location requirements: Hybrid, New York City, United States

About the role

• Senior Data Engineer responsible for architecting and maintaining data pipelines at Rain. Designing data infrastructure to support various fintech applications and analytics.

Responsibilities

• Design, build, and maintain Rain’s core data pipelines, including ingestion from payments processors, card issuers, blockchain nodes, internal services, and third-party APIs.
• Own orchestration and workflow management, implementing Airflow, Dagster, or similar tools to ensure reliable, observable, and scalable data processing.
• Architect and manage Rain’s data warehouse (Snowflake, BigQuery, or Redshift), driving performance, cost optimization, partitioning, and access patterns.
• Develop high-quality ELT/ETL transformations to structure raw logs, transactions, ledgers, and on-chain events into clean, production-grade datasets.
• Implement data quality frameworks and observability (tests, data contracts, freshness checks, lineage) to ensure every dataset is trustworthy.
• Partner closely with backend engineers to instrument new events, define data contracts, and improve telemetry across Rain’s infrastructure.
• Support Analytics and cross-functional teams by delivering well-modeled, well-documented tables that power dashboards, ROI analyses, customer reporting, and key business metrics.
• Own data reliability at scale, leading root-cause investigations, reducing pipeline failures, and building monitoring and alerting systems.
• Evaluate and integrate new tools across ingestion, enrichment, observability, and developer experience—raising the bar on performance and maintainability.
• Help set the long-term technical direction for Rain’s data platform as we scale across new products, regions, and chains.

Requirements

• Data infrastructure builder – You thrive in early-stage environments, owning pipelines and platforms end-to-end and choosing simplicity without sacrificing reliability.
• Expert data engineer – Strong Python and SQL fundamentals, with real experience building production-grade ETL/ELT.
• Workflow & orchestration fluent – Hands-on experience with Airflow, Dagster, Prefect, or similar systems.
• Warehouse & modeling savvy – Comfortable designing schemas, optimizing performance, and operating modern cloud warehouses (Snowflake, BigQuery, Redshift).
• Quality-obsessed – You care deeply about data integrity, testing, lineage, and observability.
• Systems thinker – You see data as a platform; you design for reliability, scale, and future users.
• Collaborator – You work well with backend engineers, analytics engineers, and cross-functional stakeholders to define requirements and deliver outcomes.
• Experienced – 5–7+ years in data engineering roles, ideally within fintech, payments, B2B SaaS, or infrastructure-heavy startups.

Benefits

• Top-tier coverage: We cover 95% of Medical, Dental, and Vision premiums.
• 401(k) with matching: Invest in your future, just like we’re investing in ours.
• Ownership that matters: Every team member gets equity because we believe in building together.
• Work your way: Flexible hybrid setup with a prime SoHo office for NYC-based teammates.
• Unlimited PTO: Because time to rest and reset is just as important as time to ship.
• Product-first perks: Monthly budget to test our cards and features like a real user.
• Wellness support: Monthly stipend to spend on fitness, therapy, or whatever keeps you thriving.
• Home office setup: One-time stipend to create a space that works for you.
• Team connection: Frequent company events, team dinners, and offsites to stay connected.