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Location
Remote (South America, UTC-8 – UTC+2 hours)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Nov 3, 2026.

Overview
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Get scalable solutions from a trusted IT software development company. Team launch in 5 days 80+ engineers clients in 15 countries.

ZentixSoft is looking for a Senior Python + Data Systems Engineer! 🚀

Format: Full-Time Outstaffing, 100% Remote.
Location: North and South America (Priority). We also consider candidates from Eastern Europe (Ukraine, Poland) ready to overlap working hours up to 22:00–23:00 local time (EET/CET).

🏛️ Our Approach & Culture at ZentixSoft:
At ZentixSoft, we operate on trust and high autonomy. We have no micromanagement, no invasive time-trackers, and no minute-by-minute monitoring—we value a mature engineering mindset and freedom in decision-making.

🧩 Responsibilities:
Streaming & Event-Driven Architecture: Design, build, and maintain real-time streaming data pipelines and event-driven architectures in Python.
Conversion API & Integrations: Implement robust API integrations to process tracking signals and transmit them in real time to ad platform APIs.
Product Data Pipelines: Develop analytical data processing pipelines integrated directly into our commercial SaaS application.
System Architecture & Ownership: Own backend microservices, data ingestion, database modeling, and technical decision-making from concept to production.

🎓 Our Perfect Match (Requirements):
Seniority & Mindset: Senior or Staff Engineer with a strong product-building mindset and high architectural ownership.
Backend Stack: Deep commercial expertise in Python and advanced SQL database design.
Data Systems: Hands-on experience with API integrations and real-time streaming/event-driven systems (e.g., Python streaming, message brokers).
Schedule Overlap & Communication: Fluent English (Advanced/C1) and readiness to overlap with US time zones (up to 22:00–23:00 local time for EU-based engineers).

➕ Nice to Have:
Hands-on experience with Snowplow or OpenSnowcat.
Domain expertise in Conversion APIs, marketing analytics, tracking analytics, or e-commerce platforms (e.g., Shopify).
Practical experience with GCP (Google Pub/Sub, BigQuery) and Apache Airflow.

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