Staff Engineer, Data

Renew Home

. Define and drive the long-term data architecture vision, roadmap, and design standards across Renew Home's virtual power plant ecosystem .

Posted 9/25/2026full-timeRemote • United StatesLead💰 $170,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures, with a strong focus on real-time and batch processing. Proven ability to lead engineering teams, mentor talent, and drive best practices in data management and infrastructure.

Highest-signal resume keywords

Data Architecture LeadershipReal-Time Data StreamingPostgreSQL Aurora Performance TuningAWS Data TechnologiesPython and SQL Mastery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringArchitectural DesignBatch ProcessingReal-Time StreamingDatabase DesignPerformance TuningQuery OptimizationInfrastructure as CodeCI/CDData Pipeline Development

Soft Skills

MentoringCross-Functional CollaborationTechnical Leadership

Tools & Technologies

AWS S3AWS GlueAWS RedshiftGCP PubSubAWS KinesisApache KafkaApache FlinkTerraformCDKTFAWS CDK

Industry Keywords

Data Lake ArchitecturesHigh-Volume Data ProcessingEnterprise-Scale Data WarehousesOpen-Source ContributionsMachine Learning Pipelines

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSGoogle Cloud PlatformKafkaPostgresPythonRaySparkSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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