Job summary
Job post source
This job is directly from Demandbase
Job overview
The Senior Data Engineer at Demandbase plays a key role in enhancing data pipelines for the Identification product, supporting the data science team with ML/AI model deployment, and contributing to the company's account intelligence platform.
Responsibilities and impact
The role involves leading initiatives to build and improve identification datasets, designing new data pipelines, collaborating with data scientists, optimizing pipeline performance and cost, and documenting feature implementation plans.
Compensation and benefits
The position offers a base salary range of $165,000 to $237,000 for SF Bay Area candidates, with location-based adjustments elsewhere, plus comprehensive benefits including fully paid medical and vision premiums, mental wellness resources, flexible PTO, paid holidays, a 401(k) plan, and various insurance coverages.
Experience and skills
Candidates should have a bachelor's degree in a relevant field and 8+ years of experience with strong skills in Scala or Java, Spark pipeline deployment, complex SQL, Apache Airflow, SDLC principles, AWS services, and an interest in data science; Python, distributed computing, ad-tech experience, and graph-based data modeling are preferred.
Career development
Demandbase invests heavily in career growth, culture, and community, offering opportunities to advance data engineering and data science skills within a supportive environment.
Work environment and culture
Demandbase values diversity, equity, and inclusion, fostering a respectful and supportive workplace with flexible work options, remote work availability, and recognition as a top workplace in the Bay Area.
Company information
Demandbase is a leading B2B account-based GTM platform that integrates intent data and AI insights to help businesses optimize revenue and technology stacks, with offices in the US, India, and the UK.
Job location and travel
The company has offices in the San Francisco Bay Area, Seattle, India, and the UK, with options for remote work depending on the candidate's location.
Unique job features
The role uniquely combines data engineering with direct support for ML/AI model development in a high-impact B2B marketing technology platform, with a focus on innovation and collaboration with data science teams.
Company overview
Demandbase is a leading B2B marketing technology company specializing in account-based marketing (ABM) solutions. They provide a comprehensive suite of tools that help businesses identify, engage, and convert high-value accounts through data-driven insights and personalized marketing strategies. Founded in 2006, Demandbase has grown by acquiring companies like Engagio and InsideView, enhancing its capabilities in AI-driven analytics and sales intelligence. The company generates revenue through subscription-based services and software licenses, catering primarily to enterprise clients seeking to optimize their marketing and sales efforts.
How to land this job
Tailor your resume to emphasize your 8+ years of experience in data engineering, particularly highlighting your expertise in Scala, Java, Spark pipeline production, complex SQL, and orchestration tools like Apache Airflow to align with Demandbase's technical needs.
Showcase your ability to lead initiatives in building and improving identification datasets, collaborating with data science teams, and optimizing data pipelines for performance and cost-efficiency, as these are key responsibilities in the role.
Apply through multiple channels including Demandbase's corporate careers page, LinkedIn, and other job boards where the position is posted to maximize your application visibility.
Connect with current Demandbase employees in the data engineering or data science divisions on LinkedIn; use ice breakers like commenting on their recent projects related to ML/AI model deployment or expressing enthusiasm about Demandbase's commitment to diversity and innovation.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Spark pipelines,' 'Scala,' 'Apache Airflow,' 'AWS services,' 'ML/AI models,' and 'data science collaboration' to ensure it passes automated screenings.
Utilize Jennie Johnson's Power Apply feature to automatically tailor your resume, identify the best application portals, and find relevant LinkedIn connections, allowing you to focus your energy on preparing for interviews and networking effectively.
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