Software Engineer II

Introduction to Demandbase

Demandbase is the Smarter GTM™ company for B2B brands. We help B2B companies hit their revenue goals using fewer resources. How? By aligning their sales and marketing teams around a combination of their data, our data, and artificial intelligence — what we call Account Intelligence — so they can identify, engage, and focus their time and money on the accounts most likely to buy. 

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “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 living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

Scope of Role

As a Data Engineer, you will be responsible for designing and developing scalable, distributed data systems that power key business initiatives. This role is ideal for a technically strong individual contributor who thrives on ownership—leading development efforts, shaping scalable data architectures, and delivering solutions that drive measurable impact.

You’ll have the flexibility to define and execute on a problem space end-to-end while collaborating with cross-functional teams in an agile environment. With opportunities to push technological boundaries—particularly in data processing and NLP domains—you’ll be empowered to drive innovation through robust engineering practices and technical excellence.

Responsibilities

Core Engineering & System Design

• Design, build, and optimize scalable, distributed data processing systems.

• Develop and maintain robust data architectures supporting performance, growth, and reliability.

• Solve complex challenges in data ingestion, transformation, and processing pipelines using modern frameworks and tools.

• Write clean, efficient, and production-grade code in Java or Scala.

• Leverage multithreading, distributed computing, and performance optimization techniques to ensure system efficiency.

• Implement unit and integration testing frameworks to ensure code reliability and maintainability.

• Collaborate with cross-functional teams—product, analytics, and infrastructure—to translate business needs into scalable data solutions.

Leadership & Ownership

• Lead design and implementation efforts within your problem space, ensuring timely and high-quality delivery.

• Follow and advocate for engineering best practices, including code reviews, CI/CD, and observability.

• Take initiative to identify and resolve system bottlenecks, performance issues, and architectural gaps.

• Contribute to product roadmap discussions, helping align technical solutions with broader business goals.

Continuous Learning & Collaboration

• Stay current with emerging technologies in data engineering and big data processing.

• Collaborate effectively within small, agile development teams.

• Embrace feedback and iterate quickly to improve both technical and team outcomes.

• Cultivate a growth-oriented mindset, exploring innovations in NLP and data scalability.

Qualifications

• Bachelor’s degree in Computer Science or an equivalent technical discipline from a top engineering institution.

• 5–8 years of experience in software or data engineering, ideally in a product-focused environment.

• Strong fundamentals in computer science, including algorithms, data structures, and systems design.

• Proficiency in Java or Scala for production-grade development.

• Experience with multithreading, distributed systems, and performance tuning.

• Solid understanding of database concepts and proficiency in SQL.

• Exposure to Big Data technologies such as Apache Spark, Kafka, or Airflow is a plus.

• Familiarity with cloud platforms (AWS, Azure, or GCP).

• Experience writing unit and integration tests as part of development best practices.

• Strong analytical, communication, and problem-solving skills.

• Self-motivated, curious, and eager to learn new technologies in a fast-paced environment.

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 require 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.

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