Staff Data Engineer
Payabli
- Doral, Florida, United States
- Doral, Florida, United States
À propos
What You’ll Do:
Architect the platform; set our warehouse/lakehouse direction and stand up the data lake and layered architecture that turns our raw system of record into trustworthy, queryable, intelligence‑ready data.
Build the pipelines; design and run batch and streaming pipelines that move data reliably out of our production systems – CDC, ELT, and real‑time where it matters.
Model the data; define the canonical datasets and models the whole company depends on, getting the grain, semantics, and contracts right.
Own reliability and accuracy; as this is financial data, correctness is non‑negotiable. Own data quality, observability, integrity checks, and testing/monitoring to ensure trust.
Build for a regulated environment; design role‑based access, masking, lineage, and auditability from day one, and keep sensitive financial data in appropriate silos.
Enable AI/ML and analytics; build feature pipelines and trustworthy data foundation for intelligence work, moving from systems of record toward systems of intelligence and action.
Set the standard; establish practices, tooling, and CI/CD for data that the future team inherits.
What We’re Looking For:
8+ years building production data systems, owning architecture and delivering big decisions to production.
Expert SQL and strong Python skills.
Deep experience in at least one modern lakehouse/warehouse ecosystem (Snowflake with dbt/Fivetran, or Databricks with Spark, Delta Lake, Unity Catalog). Depth and first‑principles reasoning across stacks.
Strong data modeling skills—dimensional, normalized, or Data Vault—and a sense for designing models that age well.
Experience with pipeline orchestration (Airflow, Dagster, Prefect, or equivalent) and large‑scale processing (such as Spark).
Production experience on a major cloud (AWS, GCP, or Azure), including security and cost patterns.
Experience working with sensitive or regulated data—access controls, encryption, governance, and keeping blast radius small.
A high technical bar set through influence and example. Comfortable in codebase and design reviews.
Nice to Haves:
Payments, fintech, or other regulated‑domain experience, including familiarity with PCI DSS and tokenization/vaulting patterns.
Streaming infrastructure (Kafka, Kinesis, Flink).
Data governance, lineage, and observability tooling (Unity Catalog, Snowflake Horizon, Monte Carlo, Great Expectations, OpenLineage).
Experience supporting ML/AI workloads—feature stores, training/inference pipelines, MLflow.
An interest in growing into people leadership as the function scales.
What we can offer you:
Competitive salary
Stock options with the potential to unlock more equity as we grow
Flexible PTO and paid parental leave
Medical, dental, & vision insurance
401K, HSA, pre‑tax savings programs
Payabli is an equal opportunity employer and values a diverse, inclusive workplace.
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Compétences linguistiques
- English
Avis aux utilisateurs
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