Data Engineer (Business Financing sphere)

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**Role overview**

Build and scale a Snowflake-centered data platform supporting business-financing operations. The initial delivery area is Treasury and Finance, with the platform expected to expand into additional domains over time. This is a hands‑on production data engineering role involving pipeline development, workflow migration, data modeling, and quality controls.

**Responsibilities**

  • Build and maintain production data pipelines and reusable data products in Snowflake.
  • Develop transformation logic and data models with dbt, following governed engineering practices.
  • Convert existing Alteryx workflows into managed, production‑ready platform components.
  • Create and maintain orchestration workflows using Dagster, Airflow, or a comparable tool.
  • Validate outputs, investigate data or business‑logic discrepancies, and resolve transformation defects.
  • Implement data‑quality checks and monitoring while collaborating with analytics engineering, BI, and data governance peers.

**Requirements**

  • At least four years of data engineering experience, including substantial hands‑on work with Snowflake.
  • Practical experience building with dbt and transforming modeled data in a production environment.
  • Experience with Dagster, Airflow, or another workflow orchestration platform.
  • Strong SQL and analytical data‑modeling skills.
  • Demonstrated ability to maintain reliable data pipelines and apply data‑quality or monitoring practices.
  • English proficiency at B2 level or higher, plus comfort using AI‑assisted development tools such as Cursor or similar software.

**Nice to have**

  • Snowflake certification.
  • Substantial availability for collaboration during US Central Time hours, particularly from 2:00 PM Central Time onward.
  • Experience with Fivetran, MetricFlow, or LLM‑assisted engineering workflows.

**Benefits and work setup**

  • Remote and hybrid work options are available.
  • Technical and non‑technical training, internal conferences, and expert‑led learning events.
  • Mentorship and support from an experienced colleague.
  • Health insurance, sports and wellness activities, and a referral program.
  • Work‑anniversary recognition and additional vacation days as employment tenure increases.

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