Senior Data Engineer

Vertage is building a cloud data foundation for NextBrain, and this Senior Data Engineer role is central to making operational, engineering, analytical, and contextual information available in a secure and reliable way. You will help shape the pipelines, storage architecture, data models, APIs, and automated quality controls on AWS that support NextBrain Off-Prem and its AI-driven capabilities.

This position is based in the United States (onsite) and offers an hourly salary of USD 80 - 85. The role requires 5+ years of data engineering experience and a Bachelor’s degree in Computer Science, Data Engineering, Engineering, or a related field.

What you’ll do

• Design and implement the NextBrain cloud data architecture.
• Build scalable ingestion, transformation, storage, and serving pipelines on AWS.
• Create pipelines for operational, historical, engineering, application, and contextual data.
• Design data models optimized for analytical applications and AI consumption.
• Establish storage patterns across relational, object, time-series, and analytical data stores.
• Develop APIs and services so NextBrain tools and agents can retrieve data consistently.
• Set up automated data-quality validation, reconciliation, and monitoring.
• Implement metadata management, lineage, cataloging, and data-governance practices.
• Design mechanisms for data segregation and access control.
• Optimize pipelines for scalability, performance, reliability, and cost.
• Partner with operational subject-matter experts to validate the meaning and quality of source data.
• Support migration of information from document-based repositories into structured, cloud-hosted data services.
• Collaborate with AI/ML engineers to create reliable datasets, feature pipelines, retrieval mechanisms, and knowledge sources.
• Establish reusable data integration patterns to accelerate onboarding of additional NextBrain use cases and sites.

Skills and qualifications

• 5+ years of data engineering experience.
• Python and SQL skills.
• Hands-on experience building production data pipelines in AWS.
• Experience with AWS data technologies such as S3, Glue, Lambda, RDS/Aurora, Redshift, Athena, Kinesis, or equivalent technologies.
• ETL/ELT architecture and orchestration framework experience.
• Strong understanding of relational and non-relational database design.
• Experience implementing automated data-quality processes.
• Experience building APIs or data services.
• Understanding of data governance, lineage, security, and access-control principles.

Technologies you’ll work with

• Python, SQL
• Amazon S3, AWS Glue, AWS Lambda
• RDS/Aurora, Redshift, Athena
• Amazon Kinesis
• ETL/ELT

Preferred experience

• Time-series data
• Streaming and event-driven architectures
• Industrial IoT, SCADA, historians, or operational technology data
• Energy-generation assets such as solar, battery storage, wind, or conventional generation
• Data architectures for AI/ML and generative AI applications
• Vector databases and retrieval architectures
• High-volume telemetry datasets

Communication

• English with professional working proficiency