# Staff Data Engineer
**Company:** [Payabli](https://hotfix.jobs/companies/payabli)
**Location:** Remote
**Experience:** 8+ years
**Skills:** SQL, Python, Snowflake, dbt, Fivetran, Databricks, Spark, Delta Lake, Unity Catalog, Airflow, Dagster, Prefect, AWS, GCP, Azure
**Posted:** 2026-06-26
> Founding Data Engineer to architect Payabli's data platform from scratch: design lakehouse/warehouse, build pipelines, model financial data, and establish governance for a regulated fintech environment.
## Job Description
## 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. This is financial data, so correctness is non-negotiable. You'll own data quality, observability, integrity checks, and the testing and monitoring that let us trust it.
- Build for a regulated environment. Design in role-based access, masking, lineage, and auditability from day one, and keep sensitive financial data out of places it doesn't belong.
- Enable AI/ML and analytics. Build the feature pipelines and trustworthy data foundation our intelligence work relies on, moving us from systems of record toward systems of intelligence and action.
- Set the standard. Establish the practices, tooling, and CI/CD for data that the future team inherits.

## What We're Looking For
- 8+ years building production data systems, with a track record of owning architecture and seeing big decisions through to production.
- Expert SQL and strong Python.
- Deep experience in at least one modern lakehouse/warehouse ecosystem (e.g., Snowflake with dbt and Fivetran, or Databricks with Spark, Delta Lake, and Unity Catalog).
- Strong data modeling skills (dimensional, normalized, or Data Vault).
- 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).

## 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).
- Interest in growing into people leadership.

## Compensation & Benefits
- 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
**Apply:** https://hotfix.jobs/jobs/staff-data-engineer-at-payabli-971dbb88-5bb9-4d82-ba4b-f79e8c428ad8
**Canonical:** https://hotfix.jobs/jobs/staff-data-engineer-at-payabli-971dbb88-5bb9-4d82-ba4b-f79e8c428ad8