Senior Data Engineer

Build the data backbone of a global financial system.

This is a rare chance to be the first dedicated Data Engineer at a fast-growing fintech operating at the intersection of payments, cards, and blockchain infrastructure.

The platform is already live, already scaling, and already moving real money across borders. What’s missing is you: the person who designs and owns the data systems that everything else depends on.

The Opportunity

You’ll be responsible for architecting and building the entire data platform from the ground up.

As the business scales to millions of users across card programs, payment rails, and blockchain networks, your pipelines will power:

• Analytics and decision-making
• Customer and partner reporting
• Operational tooling
• Compliance and risk workflows
• On-chain and off-chain integrations

This is not a maintenance role. This is a 0→1, platform-defining role with real ownership and real impact.

You’ll work directly with the CTO and partner closely with Product, Engineering, Operations, Compliance, and Analytics.

Requirements

What You'll Do

Design, build, and maintain 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 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 the 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.

What We’re Looking For

• 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.

Nice to Have

• Experience ingesting and processing payments data, transaction logs, or ledger systems.
• Exposure to smart contracts, blockchain data structures, or on-chain event ingestion.
• Experience building data tooling for compliance, risk, or regulated environments.
• Familiarity with dbt and/or semantic modeling to support analytics layers.
• Prior experience standing up data platforms from 0→1 at early-stage companies.

Benefits

Compensation & Benefits

• $140K–$240K base salary + meaningful equity
• Unlimited PTO (with a real minimum encouraged)
• Flexible remote-first working
• Home office stipend
• Comprehensive health, dental & vision (US)
• 401(k) with company match
• Wellness budget (gym, fitness, recovery, etc.)
• Regular team offsites (US + international)



Interview Process

1. Intro call (culture & alignment)
2. Technical interview (past projects & impact)
3. 2-hour technical session (architecture + hands-on)
4. Final conversation with the founder/CEO

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

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