> full description
We are seeking a Senior Python + Data Systems Engineer for a US-based SaaS company in marketing analytics.
You should be able to overlap with the US team and work until 10-11 PM Kyiv time.
About the Client
The client is an American SaaS company in marketing analytics. Its platform helps e-commerce brands understand which ad spend truly drives revenue. It collects tracking data, combines it with data from major ad platforms, and uses ML modeling to turn it into reporting.
The company’s customers spend millions per month on advertising, so data volumes are large and business decisions depend on data accuracy.
About the Project
There are several projects in progress:
- Conversion API (main project): reprocessing tracking signals and delivering them to ad-platform APIs in real time. Each platform’s API works differently and has its own quirks, so integrations require careful work. Stack: Python streaming, Google Pub/Sub, Shopify JS tracking.
- Mobile attribution SDK (greenfield): a new SDK for JavaScript and iOS.
- Analytics data pipelines: pipelines built as part of the SaaS product, not internal BI.
- Full-stack product development: application features and integrations.
Requirements:
- 7+ years of commercial experience with Python in production at Senior level.
- Strong SQL skills. You are confident working with complex queries and large data volumes, as data accuracy directly drives clients’ business decisions
- Hands-on experience building and maintaining integrations with third-party APIs
- Experience with streaming or event-driven systems (message queues, pub/sub, real-time data processing), as the main project delivers tracking signals to ad platforms in real time
- Experience with GCP and BigQuery
- Track record of building customer-facing products, not just internal tools or dashboards
- Experience with SaaS products used by external customers is a strong fit
- Ability to design engineering abstractions and discuss architectural decisions with the team, explaining trade-offs
- Fluent English (C1) for daily communication with the US team: syncs, technical discussions and written communication
Nice-to-have:
- Experience with Snowplow or OpenSnowcat
- Experience with Conversion APIs
- Background in marketing analytics and e-commerce
- Experience with Google Pub/Sub and Airflow
Responsibilities:
- Work as a backend-heavy engineer on integrations, APIs, services and streaming pipelines
- Develop the Conversion API: reprocess tracking signals and deliver them to ad-platform APIs in real time, handling the specifics of each platform’s API
- Build analytics data pipelines as part of the SaaS product
- Contribute to architecture discussions and engineering abstractions