Senior Data Engineer

Description
To design, build, and optimize scalable data infrastructure and pipelines that enable efficient data collection, transformation, and analysis across the organization. The Senior Data Engineer will play a key role in driving data architecture decisions, ensuring data quality and availability, and empowering analytics, product, and engineering teams with reliable, well-structured data to support business growth and strategic :

• Develop, and maintain SQL and NoSQL databases, ensuring high performance, scalability, and reliability.
• Collaborate with the API team and Data Science team to build robust data pipelines and

automations.

• Work closely with stakeholders to understand database requirements and provide technical solutions.
• Optimize database queries and performance tuning to enhance overall system efficiency.
• Implement and maintain data security measures, including access controls and encryption.
• Monitor database systems and troubleshoot issues proactively to ensure uninterrupted

service.

• Develop and enforce data quality standards and processes to maintain data integrity.
• Create and maintain documentation for database architecture, processes, and procedures.
• Stay updated with the latest database technologies and best practices to drive continuous

improvement.

• Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune

complex queries for performance and efficiency.

• Experience with monitoring and visualization tools such as Grafana to monitor database

performance and health.

Requirements

• 4+ years of experience in data engineering, with a focus on large-scale data systems.
• Proven experience designing data models and access patterns across SQL and NoSQL ecosystems.
• Hands-on experience with technologies like PostgreSQL, DynamoDB, S3, GraphQL, or vector databases.
• Proficient in SQL stored procedures with extensive expertise in MySQL schema design, query optimization, and resolvers, along with hands-on experience in building and maintaining data warehouses.
• Strong programming skills in Python or JavaScript, with the ability to write efficient,

maintainable code.

• Familiarity with distributed systems, data partitioning, and consistency models.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and debugging

production bottlenecks.

• Deep understanding of cloud infrastructure (preferably AWS), including networking, IAM, and

cost optimization.

• Prior experience building multi-tenant systems with strict performance and isolation

guarantees.

• Excellent communication and collaboration skills to influence cross-functional technical Albert Invent :

Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Every day, scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, bringing better products to market, faster.

Why Join Albert Invent

• Joining Albert Invent means becoming part of a mission-driven, fast-growing global team at the intersection of AI, data, and advanced materials science.
• You will collaborate with world-class scientists and technologists to redefine how new materials are discovered, developed, and brought to market.
• The culture is built on curiosity, collaboration, and ownership, with a strong focus on learning and impact.
• You will enjoy the opportunity to work on cutting-edge AI tools that accelerate real-world R&D and solve global challenges from sustainability to advanced manufacturing while growing your careers in a high-energy environment.

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