Data Engineer - ML Systems

Summary

Join Demandbase's AI team as a Data Engineer and play a critical role in designing, developing, and optimizing data pipelines for machine learning systems. Collaborate with cross-functional teams to enhance model performance and ensure robust infrastructure. Work with large-scale datasets, improve data reliability, and adhere to industry-leading standards. Contribute to innovations in ML Ops and prompt engineering. The role offers a competitive salary range of $145,000-$198,000 (excluding bonus) and a comprehensive benefits package. Demandbase is committed to diversity, equity, and inclusion, fostering a supportive and inclusive work environment.

Requirements

• Minimum 5 years of relevant work experience as a Data Engineer or ML Engineer, or 3 years with a Master's degree in Computer Science or related field
• Strong proficiency in Object-Oriented Programming (OOP) using Scala/Java and Python
• Experience building unit tests, dockerized integration tests, CI/CD, and repository management
• Ability to deploy, monitor, and manage software, particularly ML models
• Experience in ETL/ELT data pipelines for large datasets. Proficiency in both batch and streaming processes using Spark is preferred
• Solid understanding of advanced SQL techniques for querying, transformation, and performance optimization
• Ability to deploy, monitor, and manage software, particularly ML models
• Expertise in building, deploying, and optimizing DAGs in Apache Airflow or a similar tool
• Experience with Docker, Kubernetes, and cloud platforms such as AWS (preferred) (IAM, EC2, S3, terraform) or GCP
• Good communication skills

Responsibilities

• Design, develop, and maintain efficient data pipelines and ETL processes
• Raise the standards by improving test coverage and automation
• Work with cloud operations and QA teams to implement industry-standard build, test, and deploy pipelines
• Implement indexing, partitioning, and tuning strategies to improve data model performance
• Collaborate with data engineers, data scientists, data platform experts, front-end developers, and analytics teams to align on priorities and deliverables
• Drive continuous improvement in release processes to achieve best-in-class standards
• On-call rotation participation

Preferred Qualifications

• Experience working on large-scale B2B and SaaS applications with tenant-based architectures
• Proficiency in ML Ops practices, including experience with A/B testing technologies and frameworks
• Expertise in crafting, testing, and refining prompts for effective communication with LLMs like GPT. Ability to generate accurate and contextually relevant responses

Benefits

• Up to 100% paid premiums for Medical and Vision coverage
• Range of mental wellness resources, including access to Modern Health
• Flexible PTO policy
• 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving
• No Internal Meetings Fridays
• Competitive 401(k) plan
• Short-term and long-term disability coverage
• Life insurance
• Other valuable benefits to ensure your financial peace of mind