Staff Engineer, Data

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $170k - $220k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Renew Home

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚡ Energy

Energy • Technology • Environmental Technology

Renew Home is a company dedicated to transforming residential energy usage through innovative virtual power plant technology. By partnering with leading brands like Google Nest, Renew Home integrates energy-smart features into everyday devices such as thermostats and water heaters. The company aims to support the clean energy transition by creating the world's largest residential virtual power plant, allowing households to optimize energy usage and respond to the needs of the electrical grid. Renew Home focuses on making energy savings easy and accessible, helping millions of households become more energy-efficient and sustainable without sacrificing comfort.

📋 Description

• Define and drive the long-term data architecture vision, roadmap, and design standards across Renew Home's virtual power plant ecosystem • Lead fault-tolerant batch and real-time streaming data infrastructure processing data from millions of connected devices • Collaborate with application and analytics engineering teams on data architecture and delivery • Direct database architecture and continuous performance tuning across PostgreSQL Aurora, AWS Redshift, and query engines • Set technical standards for data pipeline development, monitoring, data quality, and uptime • Lead infrastructure management and support operations through the on-call rotation • Mentor and guide senior and mid-level data engineers • Promote engineering best practices, architectural design reviews, and technical growth • Evaluate, prototype, and integrate modern data technologies and frameworks

🎯 Requirements

• 10+ years of software and data engineering experience • Proven track record of architectural leadership at scale • Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience • Experience designing, building, and operating production-grade high-volume batch and real-time data streaming architectures • Experience with GCP PubSub, AWS Kinesis, AWS Lambda, Apache Kafka, and Apache Flink • Expertise in scalable data lake architectures using AWS S3, Iceberg, AWS Glue, and Delta Lake • Expertise in database design, performance tuning, query optimization, indexing, and partitioning with AWS Redshift and PostgreSQL Aurora • Mastery of Python and SQL • Strong software engineering principles, CI/CD, and Infrastructure as Code using Terraform, CDKTF, and AWS CDK • Ability to mentor engineering talent and drive cross-functional alignment • Candidates must be authorized to work in the United States without current or future visa sponsorship • Bonus: Experience optimizing enterprise-scale data warehouses and advanced Redshift capabilities • Bonus: Experience with Apache Spark, Ray, or end-to-end machine learning pipelines • Bonus: Open-source data ecosystem contributions or advanced certifications

🏖️ Benefits

• Target annual bonus of 15% of base salary • Participation in long-term incentive programs tied to company growth and performance • Fully remote work environment • Home office set-up allowance • No pre-set vacation limits • Parental leave benefits • Competitive health and wellness benefits • 401(k) plan with employer contributions • Opportunity for learning and professional growth