Senior Data Engineer

About the role

Ready is expanding its data engineering team to support rapid growth across its broadband infrastructure monitoring platform and the BEAD program. The Senior Data Engineer will design, build, and maintain large‑scale data pipelines on AWS and GCP, ensuring reliability for multi‑state government data programs.

Key responsibilities

• Partner with product and engineering teams to translate requirements into cost‑effective, performant data architectures.
• Design, implement and operate scalable data infrastructure on AWS (S3, Athena, RDS/PostgreSQL, ECS, Lambda, Secrets Manager, CloudWatch).
• Own data lake and warehouse architecture, including partitioning, storage optimization and lifecycle management.
• Build production‑grade Apache Airflow DAGs for ingestion, transformation and export workflows.
• Develop robust DBT pipelines with data quality checks and well‑structured modeling.
• Implement AI‑enabled data validation and enrichment pipelines using AWS Bedrock, LangChain and related frameworks.

Required profile

• 5+ years of data engineering experience with end‑to‑end ownership of production systems.
• Strong ability to evaluate technical trade‑offs and make pragmatic architecture decisions.
• Excellent communication skills to explain complex infrastructure to non‑engineers.
• Comfortable working remotely across time zones and handling ambiguity.

Required skills

• Python (production‑grade code)
• SQL (PostgreSQL, Athena/Presto, Redshift)
• AWS services (S3, Athena, RDS, ECS, Lambda, Secrets Manager, CloudWatch)
• Apache Airflow
• DBT
• Version control (Git)
• Vector databases and LLM integration (LangChain, AWS Bedrock)
• MLflow or similar ML pipeline tools

What we offer

• Competitive salary $190,000‑$240,000 plus equity upside
• Comprehensive benefits for employees and dependents
• Remote‑first work environment with flexible location
• Opportunities for learning, growth and shaping product roadmap
• Company retreats 2‑3 times per year