Senior Software Engineer (Data Engineering)

Demandbase is seeking creative and motivated engineers to join their product development team. In this role, you will work in a fast-paced agile environment to build and deliver key features of the application. The company values fundamentals over specific tools or languages, making it a great opportunity for individuals with a willingness to learn and a desire to follow through with the job. The ideal candidate will have strong analytical and problem-solving skills, be a self-motivated learner, and have excellent communication skills. A bachelor's or master's degree in computer science or a related field is required, along with practical experience in handling complex analytics projects.

• Design, model, and implement data analysis and analytics solutions
• Act as a hands-on individual contributor for data projects, including high-level design, analysis, experiments, data architecture, and data modeling
• Support ETL pipeline modules by designing state-of-the-art transformations, data cleaning, matching, reports/dashboards, and statistical analysis
• Utilize analysis techniques such as segmentation, regressions, clustering, and data profiling to analyze trends and report key performance indicators
• Collaborate with cross-functional teams in an Agile environment
• Possess strong analytical and problem-solving skills
• Demonstrate self-motivation and a willingness to learn new technologies
• Be open to constructive feedback
• Exhibit confidence and articulate excellent written and verbal communication skills
• Be open to working in a small development environment
• Hold a bachelor's or master's degree in computer science, mathematics, or statistics from a top engineering institution
• Have practical experience in handling complex analytics projects and advanced SQL for data analysis
• Possess 4+ years of data engineering experience in building enterprise data/analytics solutions
• Focus on data stewardship to continually improve the quality of data and information, including accuracy, integrity, and relevance to the business
• Have strong practical experience in databases, advanced SQL, and Python/R
• Demonstrate a good understanding of data strategies and articulate data

• Strong analytical and problem-solving skills
• Self-motivated learner
• Eager to learn new technologies
• Receptive to constructive feedback
• Confident and articulate with excellent written and verbal communication skills
• Open to work in a small development environment
• Bachelor's or master's degree in computer science, Mathematics, Statistics from a top engineering institution
• Practical experience in handling complex analytics projects and experience in advanced SQL for data analysis
• 4+ years of Data Engineering experience in building enterprise data/analytics solutions
• Data stewardship to continually improve the quality of data and information including accuracy, integrity, relevance to the business
• Strong practical experience in Databases, Advanced SQL & Python/R
• Very good understanding of Data strategies, articulate data

• Competitive salary and benefits package
• Opportunity for career growth and development
• Investment in employee culture and community
• Remote work options
• Recognition as one of the best places to work in the San Francisco Bay Area
• Commitment to diversity and inclusion
• Equal opportunity for all applicants, regardless of background or protected status
• Ongoing effort to create a safe and equitable workplace
• Learning and collaboration opportunities with a talented and creative team
• Focus on fundamentals and willingness to learn, rather than specific tools or languages
• Hands-on experience with data analysis and analytics solutions
• Support for ETL pipeline modules and statistical analysis
• Work with Apache Spark ecosystem, Data Visualization, and Advanced Analytics
• Collaboration with cross-functional teams in an Agile environment
• Practical experience in handling complex analytics projects and advanced SQL
• Strong understanding of data strategies and data model design
• Exposure to big data emerging technologies like Hive, Red Shift, Hbase, and Apache Spark
• Consideration of applicants with criminal records on a case-by-case basis