Senior Python Full-Stack Engineer (Data Systems)

Back-End Web.

Senior

B2 (Upper-Intermediate)

Required Skills

Python

Google BigQuery

GCP

Nice to Have

SAAS

API

CI/CD

Data Processing

SQL

Google Cloud Pub/Sub

ETL

Apache Airflow

Summary

Develop Python backend services, API integrations, and real-time streaming pipelines.
Process high-volume tracking data and integrate with external advertising platforms.
Work with event-driven systems, SQL, Google Pub/Sub, and GCP.
Full-time, long-term engagement with working hours overlapping until 22:00–23:00 local time for Eastern European candidates.

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Job Overview

We are looking for a Senior/Staff Python Engineer with a strong backend focus to develop data integrations, APIs, and real-time streaming pipelines for a SaaS platform in the marketing analytics and e-commerce domain.

The platform processes large volumes of tracking data, combines information from multiple advertising platforms, and transforms it into actionable analytics. You will work on backend services responsible for processing tracking signals and delivering conversion data to external advertising platforms.

Responsibilities

Design, develop, and maintain backend services and APIs using Python.
Build and optimize real-time data processing and streaming pipelines.
Develop integrations with external advertising platforms and their Conversion APIs.
Process tracking events and ensure reliable data delivery across distributed systems.
Work with event-driven architectures and high-volume data flows.
Design scalable solutions and contribute to architectural decisions.
Collaborate with engineers across different product teams.
Ensure data accuracy, system reliability, and performance.

Requirements

Strong commercial experience with Python in production environments.
Strong SQL skills and experience working with databases.
Experience building and maintaining API integrations.
Practical experience with streaming or event-driven systems.
Experience developing customer-facing products or SaaS platforms.
Ability to design engineering abstractions and participate in architectural discussions.
Fluent in English.

Tech Stack

Backend: Python
Databases: SQL, BigQuery
Streaming & Messaging: Google Pub/Sub
Cloud: GCP
Data Pipelines: ETL, Airflow
Integrations: APIs, Conversion APIs
Tracking: Snowplow, OpenSnowcat, Segment, event tracking

How to Apply for Senior Python Full-Stack Engineer (Data Systems)

Be ready for the next steps:

Create your profile on our website (import from LinkedIn)
20-30-minute screening call
Technical interview feedback
Project Selection (we are looking for the best project for you).

Who can apply:

We work with developers across Europe, LATAM, the U.S. (W-9 form owners), Canada, Asia, Oceania, and the UK.
We do not provide visa assistance, and this cooperation model does not include direct-hire benefits.
We cannot accept applicants from Russia, Belarus, Iran, or North Korea.

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