9 часов назад
Founding Data Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Founding Data Engineer (Fintech): Building Payabli's foundational warehouse or lakehouse, data lake, and batch and streaming pipelines for trustworthy payments data with an accent on data modeling, security, reliability, and regulated-data governance. Focus on designing canonical datasets, implementing CDC and ELT workflows, enabling AI/ML and analytics, and establishing observability, testing, and CI/CD standards.
Location: Remote
Company
is a venture-backed fintech building payments infrastructure and monetization tools for vertical software companies through developer-friendly APIs and embedded payment components.
What you will do
- Set the warehouse or lakehouse direction and build the foundational data lake and layered architecture.
- Design and operate reliable batch and streaming pipelines using CDC, ELT, and real-time processing where appropriate.
- Define canonical payments datasets, data models, semantics, and data contracts.
- Own data quality, observability, integrity checks, testing, and monitoring for sensitive financial data.
- Implement role-based access, masking, lineage, auditability, and other controls for a regulated environment.
- Build feature pipelines and a trustworthy data foundation for analytics, AI, and ML workloads while establishing data engineering practices, tooling, and CI/CD.
Requirements
- 8+ years of experience building production data systems and owning architecture decisions through production.
- Expert SQL and strong Python skills.
- Deep experience with a modern warehouse or lakehouse ecosystem, such as Snowflake with dbt and Fivetran or Databricks with Spark, Delta Lake, and Unity Catalog.
- Strong data modeling experience with dimensional, normalized, or Data Vault approaches.
- Experience with pipeline orchestration such as Airflow, Dagster, or Prefect; large-scale processing; and a major cloud platform including AWS, GCP, or Azure.
- Experience handling sensitive or regulated data, including access controls, encryption, governance, security, and cost management.
Nice to have
- Payments, fintech, or other regulated-domain experience, including PCI DSS and tokenization or vaulting patterns.
- Streaming infrastructure experience with Kafka, Kinesis, or Flink.
- Data governance, lineage, and observability tooling experience.
- Experience supporting ML/AI workloads, including feature stores, training or inference pipelines, or MLflow.
- Interest in growing into people leadership as the function scales.
Culture & Benefits
- Remote work in a high-growth, venture-backed fintech environment.
- Competitive salary and stock options with potential for additional equity.
- Flexible PTO and paid parental leave.
- Medical, dental, and vision insurance.
- 401(k), HSA, and pre-tax savings programs.
- Values centered on customer focus, ownership, attention to detail, direct feedback, and continuous learning.
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