[Hiring] Senior Data Engineer @Abacus

Role Description

Join NextBrain as a Senior Data Engineer in Remote, FL. Are you passionate about data engineering and eager to make a significant impact at a leading-edge company? NextBrain Off-Prem is looking for a talented Senior Data Engineer to design and build our cloud data foundation. This role offers the opportunity to work with large volumes of operational, engineering, analytical, and contextual information. If you have modern AWS data engineering expertise and a strong understanding of data quality, time-series information, and scalable data architectures, we want you on our team!

Key Responsibilities

• Design and implement the NextBrain cloud data architecture.
• Build scalable ingestion, transformation, storage, and serving pipelines on AWS.
• Develop 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 for consistent data retrieval by NextBrain tools and agents.
• Implement automated data-quality validation, reconciliation, and monitoring.
• Optimize data pipelines for scalability, performance, reliability, and cost.
• Collaborate with AI/ML engineers to create reliable datasets and feature pipelines.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Engineering, or a related field.
• 5 years of data engineering experience.
• Strong 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, or Kinesis.
• Experience with ETL/ELT architecture and orchestration frameworks.
• Strong knowledge of relational and non-relational database design.
• Experience implementing automated data-quality processes.
• Experience building APIs or data services.

Preferences

• Experience with time-series data.
• Experience with streaming/event-driven architectures.
• Experience with industrial IoT, SCADA, historians, or operational technology data.
• Experience with energy-generation assets such as solar, battery storage, wind, or conventional generation.
• Experience designing data architectures supporting AI/ML and generative AI applications.

Company Description