Senior Data Engineer

Join Ready, a rapidly growing broadband infrastructure monitoring platform, as a Senior Data Engineer. In this hands-on engineering role, you will build, optimize, and maintain the data infrastructure that powers multi-state broadband programs. You will work closely with the Head of Data and a cross-functional team, and your responsibilities will include designing data models, building Airflow DAGs, and ensuring observability across the data platform. You will also have the opportunity to mentor junior and mid-level data engineers and contribute to team culture.

Responsibilities

• Concevoir, mettre en œuvre et maintenir une infrastructure de données évolutive sur AWS, y compris la gestion des lacs de données et des entrepôts de données.
• Construire et maintenir des DAG Apache Airflow de qualité production pour les flux de travail d'ingestion, de transformation et d'exportation.

Requirements

• Collaborer avec les équipes produit et d'ingénierie pour comprendre les exigences et les traduire en architecture technique appropriée.
• Comfortable working with ambiguity and make decisions following first-principle
• Demonstrated ability to mentor engineers and contribute to team culture
• Experience with large-scale spatiotemporal data pipelines (PostGIS, spatial indexing, tiling) is a plus
• Deep hands-on experience with AWS data services (S3, Athena, RDS, ECS, Lambda, IAM, CloudWatch)

Comfortable working across multiple timezone

• Experience building data quality frameworks or automated validation systems
• Experience with version control with Github/Subversion/GitLab/Mercurial
• Experience with large-scale time-series, event-based, or streaming data systems
• Experience with Apache Airflow or similar orchestration tools in production environments
• Excellent communication skills — you can make complex infrastructure decisions legible to non-engineers
• Familiarity with vector databases and LLM integration patterns (LangChain, AWS Bedrock, or similar)
• Strong proficiency in SQL (PostgreSQL, Athena/Presto) and Python; you write production-quality code
• Proven ability to evaluate technical trade-offs and make pragmatic architecture decisions that balance cost and performance
• 5+ years of data engineering experience, with a track record of owning and operationally supporting production systems end-to-end

Preferred

• Experience managing data for SaaS platforms is a plus

Pay

USD 190,000 - 240,000