Python Data Integration Engineer
Posted Updated
We are hiring a Python Data Integration Engineer to join our Client Team: Actuals.io and take ownership of client integration pipelines from day one.
This is a hands-on, build-heavy role. You won't be doing generic platform configuration—for your first six months, your primary mandate will be designing and building data pipelines that connect client systems (orders, payments, ERPs). You will be deep in Python-based pipeline architecture, SQL-driven data mapping, and integration troubleshooting, working directly within clients' system landscapes to ensure their financial data flows reliably and accurately.
- 3+ years of experience in a technical, data-integration, or strong Python experience processing data
- Strong proficiency in Python and SQL.
- Hands-on experience with (or a strong aptitude for) orchestration and pipeline tools like Mage.ai, Apache Airflow, dbt, or similar.
- Ability to break down complex, ambiguous integration challenges into pragmatic, working solutions.
- Strong detail orientation with an unyielding focus on data accuracy and financial correctness.
- Comfort working directly with technical stakeholders on the client side in a fast-paced environment.
- Professional fluency in English (written and spoken).
Nice to have:
- Experience integrating with PSPs (Payment Service Providers), ERPs, or core accounting systems.
- Domain background in accounting, FinOps, or financial data processing.
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.