Senior Python Engineer – Backend, Data

🕒 April 2

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Space Inch

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2013

🎮 Gaming

☁️ SaaS

Gaming • SaaS • Blockchain

Space Inch is a company renowned for its prowess in mobile game development, having accumulated 40 million installs for popular games such as Infinite Skater, Disco Bees, Say the Same Thing, and Make It Rain. Over its 8 years of operation, Space Inch has refined its approach to software development, emphasizing quality engineering and a strong company culture. The company employs passionate and innovative full-stack engineers who are skilled in a wide range of technologies including web, mobile, and blockchain development. Space Inch has also demonstrated capabilities in creating sophisticated enterprise software and decentralized cryptocurrency trading platforms, showing versatility across various industries, including gaming, ecommerce, and blockchain. The company is highly focused on ensuring efficient software engineering practices and fostering an environment where engineers thrive by valuing learning, communication, and teamwork.

📋 Description

• Consolidate critical trading data from multiple disparate sources into a centralized, queryable database. • Design and implement data pipelines and orchestration workflows to automate data ingestion and processing. • Enable the client’s team to track position changes across daily, weekly, and monthly intervals with accuracy and speed. • Propose and implement a database strategy using a lower-level database as the primary aggregation layer, with reporting published to Snowflake. • Ensure data auditability and observability, with clear traceability for how each data point is created. • Identify and surface additional data opportunities as the project matures, helping the client understand the broader potential of their data.

🎯 Requirements

• Strong senior level proficiency in Python and SQL (PostgreSQL preferred) • Strong senior level proficiency in MongoDB and Snowflake • Previous high-level knowledge of processing Excel files/CSVs • Proven experience in handling data: aggregation, modelling, pipeline development, and data reliability. • Experience with data orchestration frameworks (e.g. Apache Airflow or similar). • Comfortable working with data warehouses and large, complex datasets. • Must be based in Brazil • Client team is based in California, so appropriate working hours to accommodate a decent level of overlap are expected

🏖️ Benefits

• Real influence on technical decisions and project direction • Professional development support • Work-life balance, transparency, and long-term relationships that aren’t just for show • 23 days of PTO/year • $50/month sports/wellness budget • 15 days of 100% paid sick leave/year + annual health checkups up to $200 budget • $140/year education budget to fuel learning and professional development • Referral bonus