Senior Data Engineer (Intent Team)

Introduction to Demandbase: 

Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster. 

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, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area.

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!

The compensation range for this role is: $146,000 - $259,000

About the Role:

As a Data Engineer, you will be responsible for turning a variety of massive datasets, containing highly valuable and sought after data, into products which yield actionable insights for our customers. These pipelines require new and interesting solutions due to the nature of their data size and depth.

What you’ll be doing:

• Define: Work with internal stakeholders to develop data pipelines in the next generation of Demandbase's unified framework. Document: Write clear documentation to convey plans and technical design.
• Test: Write unit, integration, and load tests as necessary. 
• Code: Build and expand our platform by ingesting data from key third-party services. Improve engineering standards, tooling, and processes.
• Monitor & Deploy: Ensure high reliability of all maintained product offerings by building reporting and monitoring mechanisms into our infrastructure.
• Operate: Own and operate the data integrations, Be a front-line responder for issues filed by customers.

What we’re looking for:

• BS or MS in Computer Science required
• 3+ years of experience as a Data Engineer in a data-intensive environment
• Multiple large-scale distributed systems or data platforms, including Spark, Kafka, MapReduce, HBase, Elasticsearch, Dataflow, BigQuery, BigTable, Dataproc, etc.
• Experience with Scala and/or Java
• Demonstrated mastery of Spark required
• Experience working with complex datasets
• Operational experience with databases or data warehouses
• Strong algorithm & data structure knowledge
• Excellent communication skills and the ability to work well in a team
• Experience in optimizing and scaling Spark applications
• Hands-on development experience scaling complex systems
• Experience with orchestration tooling such as Airflow

Benefits:

Our benefits include options for up to 100% paid Medical, Dental, and Vision premiums for you and your entire family, $1,000 personal development stipend, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, Headspace, Ginger, and 13 paid holidays. Plus 401(k), short-term/long-term disability, life insurance, and all those good things.

We are a fully remote company with the option to work in an office (San Francisco, San Mateo, Seattle, and NYC) for those who are fully vaccinated and want to get out of the house.