Data Engineer - ML Systems

Introduction to Demandbase: 

Demandbase helps B2B companies hit their revenue goals using fewer resources. How? By using the power of AI to identify and engage the accounts and buying groups most likely to purchase. Our account-based technology unites sales and marketing teams around insights that you can understand and facilitates quick actions across systems and channels to deliver big wins. It’s flexible, scalable ABM built for you.

As a company, we prioritize both the advancement of careers and the development of world-class technology. We invest heavily in people, our culture, and the communities around us. We have offices strategically located in San Francisco and New York in the US, and Hyderabad, in India and we embrace a hybrid work model in these regions. Outside of these areas we offer a remote work option and boast a significant presence in Austin, TX, Atlanta, GA, and London, UK. Continuously lauded as a great place to work, we are Great Place to Work Certified, and have earned distinctions such as "Fortune's Best Workplaces in the Bay Area,"Best Workplaces in Technology," "Best Workplaces for Millennials," and "Best Workplaces for Parents"!

We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of achieving our mission to transform the way B2B companies go to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

About the Role:

As a Data Engineer on Demandbase's AI team, you will play a critical role in designing, developing, and optimizing data pipelines that drive machine learning systems. You will collaborate with cross-functional teams, including data scientists, engineers, and cloud operations, to enhance the performance of machine learning models and ensure robust infrastructure. The role involves working with large-scale datasets, improving data reliability, and adhering to industry-leading standards in cloud technologies, DevOps practices, and machine learning engineering. You'll also contribute to innovations in ML Ops and prompt engineering, applying cutting-edge techniques to improve system scalability and efficiency.

The base compensation range for this position, not including the company bonus, is: $145,000-$198,000

What you’ll be doing:

• 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

What we’re looking for:

• 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.

Preferred experience:

• 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:

We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase:

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.