Senior Data Engineer

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November 13

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Hornet

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Founded in 2011, Hornet Networks is the world’s queer tech platform, providing a digital home for LGBTQ+ people to connect with each other — anytime, anywhere. Amplifying the radical, affirmative power of the queer community with cutting-edge technology, Hornet serves an LGBTQ+ audience with its two distinct, exciting apps: Hornet and Spaces.

51 - 200 employees

💰 $8M Series A on 2016-11

📋 Description

• In this role, you will be the owner of Hornet’s raw data layer — ensuring that downstream Analytics & AI applications can build on a consistent and trustworthy foundation. • You will design and maintain the pipelines that bring our user, product, and monetization data into BigQuery, while enforcing standards that guarantee quality, scalability, and reliability. • Own the ingestion of raw data from Firebase, back-end/front-end systems, and external partners into BigQuery. • Design, build, and maintain robust ETL/ELT pipelines that are efficient, evolvable, and scalable to TB-scale workloads. • Implement data contracts, schema enforcement, and quality checks at the ingestion layer to prevent downstream issues. • Proactively monitor and debug pipelines, ensuring resilient, idempotent ingestion processes. • Optimize data storage and query performance in BigQuery, balancing cost efficiency and scalability. • Collaborate with cross-functional teams to integrate new data sources and align pipeline development with analytics needs. • Contribute to engineering best practices, documenting processes, reviewing code, and mentoring colleagues where appropriate. • Partner with the AI Engineer on aligning ingestion with broader architectural standards and long-term infrastructure goals.

🎯 Requirements

• 5+ years of Data Engineering experience with a proven track record of delivering reliable, scalable data pipelines. • Strong expertise in SQL (BigQuery preferred) and Python for production-ready data workflows. • Deep knowledge of cloud data warehouses and orchestration frameworks (e.g., Mage/Airflow). • Experience implementing data contracts, schema enforcement, and data quality frameworks. • Strong problem-solving skills with a focus on pipeline reliability, scalability, and cost optimization. • Familiarity with CI/CD practices and version control systems (GitHub). • Excellent communication skills and ability to collaborate effectively with analytics and engineering peers. • Bachelor’s degree in Computer Science, Engineering, or related field.

🏖️ Benefits

• Work alongside an innovative and passionate Data-Analytics-AI squad, pushing the boundaries of what’s possible. • Enjoy a flexible, remote-first work environment with teammates across the world. • We offer you an open contract with monthly invoicing or employment, depending on circumstances. • We do not ask for cover letters, but we give bonus points to candidates who can articulate their passion for our mission in a concise (1-2 sentence) statement.