MLabs is hiring a Senior Data Engineer to architect and build its entire data platform from the ground up. As the first dedicated Data Engineer, this is a platform-defining, 0→1 role with real ownership and impact. You will power analytics, reporting, tooling, compliance, and integrations as the business scales to millions of users.
What You'll Do
- Design, build, and maintain core data pipelines, ingesting data from payments processors, card issuers, blockchain nodes, internal services, and third-party APIs.
- Own orchestration and workflow management, implementing tools like Airflow or Dagster to ensure reliable, observable, and scalable data processing.
- Architect and manage the 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 the data platform as we scale across new products, regions, and chains.
What We're Looking For
- 5–7+ years in data engineering roles.
- Strong Python and SQL fundamentals.
- Real experience building production-grade ETL/ELT.
- Hands-on experience with Airflow, Dagster, Prefect, or similar orchestration systems.
- Comfortable designing schemas, optimizing performance, and operating modern cloud warehouses (Snowflake, BigQuery, Redshift).
- Deep care about data integrity, testing, lineage, and observability.
- Ability to design for reliability, scale, and future users.
- Collaborative approach, working well with backend engineers, analytics engineers, and cross-functional stakeholders.
- Experience 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.
Technical Stack
- Python, SQL
- Airflow, Dagster, Prefect
- Snowflake, BigQuery, Redshift
- dbt
Team & Environment
You will work directly with the CTO and partner closely with Product, Engineering, Operations, Compliance, and Analytics teams.
Benefits & Compensation
- Salary: $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).
Work Mode
This is a remote-first position.
At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and provide information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all.
