Demandbase is the Smarter GTM™ company for B2B brands, enabling marketing and sales teams to navigate data fragmentation and interact effectively with customers by implementing Account Intelligence throughout the buyer journey. With offices in major cities like San Francisco, New York, and Seattle, as well as remote teams in the UK and India, Demandbase is commended for its employee-centric culture and commitment to diversity and inclusion.

As a Data Engineer at Demandbase, you will be tasked with developing and optimizing data pipelines that handle extensive datasets, transforming them into actionable insights for our clients. You'll work on defining, documenting, testing, coding, monitoring, and operating data integrations, ensuring high reliability and performance of the company's data products. With compensation ranging from $146,000 to $259,000, this role offers a competitive package and comprehensive benefits. For a detailed interview guide, prospective candidates can utilize resources available on Interview Query.

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

In this role, you will help build the next generation unified data platform that will combine datasets from across the Demandbase ecosystem. Using the latest open source tools, you'll solve complex data warehousing problems to ensure quality, discoverability and accessibility of data. You'll build batch and streaming data pipelines for ingestion, normalization and analysis; in addition, you'll develop standard design and access patterns that will allow these pipelines to stay flexible and grow over time as the needs of the business change. You'll be a leader in the unification of data from our multiple products as we come together as one Demandbase platform.

What you'll be doing:
- Build out all aspects of the Demandbase Data ecosystem and move products from R&D into production scale - Design and build data pipelines to create the next generation of Demandbase's Unified Data Platform - Work across the data stack to build and productionalize data pipelines for massive amounts of data - Build DAGs in Airflow for orchestration and monitoring of data pipelines

What we're looking for: - Four-year degree in Computer Science, or related field OR equivalent experience - Progressive experience in all of the following areas: - Designing frameworks and writing efficient data pipelines, including batches and real-time streams - Understanding of data strategies, articulate data analysis & data model design, and evolve data products according to business requirements - Experience with the Spark Ecosystem (YARN, Executors, Livy, etc) - Experience in large scale data streaming, particularly Kafka or similar technologies (Pulsar, Kinesis, etc) - Experience with data orchestration frameworks, particularly Airflow or similar - Experience with columnar data stores, particularly Parquet and Clickhouse - Strong SDLC principles (CI/CD, Unit Testing, git, etc) - General understanding of AWS EMR, EC2, S3

Even better if you have… - Experience with: - "Lakehouse" technologies, particularly Iceberg or similar (DeltaLake, Hudi, etc) - Terraform for AWS - Astronomer - Open Source contribution experience

Benefits:

Our benefits include options for up to 100% paid Medical, Dental, and Vision premiums, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, and 11 paid holidays and 2 additional weeks where all Demandbase employees take off (the week of July 4th and the week of Thanksgiving). Plus 401(k), short-term/long-term disability, life insurance, and all those good things.

Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Demandbase as a Data Engineer. Carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Highlight relevant skills and mention your work experiences clearly.

Recruiter/Hiring Manager Call Screening

If your CV is shortlisted, a recruiter from the Demandbase Talent Acquisition Team will contact you to verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Demandbase Data Engineer hiring manager may participate during the screening round to answer your queries about the role and the company itself. They may also engage in surface-level technical and behavioral discussions.

The recruiter call typically takes about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Demandbase Data Engineer role usually involves virtual means, including video conferences and screen sharing. Questions in this 1-hour long interview stage may revolve around Demandbase’s data systems, ETL pipelines, and SQL queries.

Depending on the role, take-home assignments regarding data pipeline design, optimization, and data structure management may be incorporated. Apart from these, your proficiency against data analytics, Spark, and big data technologies may be assessed during the round.

Onsite Interview Rounds

Following a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying by the role, will be conducted during your day at the Demandbase office. Your technical prowess, including programming and data engineering capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Engineer role at Demandbase.

Quick Tips For Demandbase Data Engineer Interviews

• Understand Demandbase’s Products: Demandbase's questions often involve scenarios with their products. Study their technology and understand how you would personally improve or implement their solutions.
• Brush Up on Spark and Big Data: Demandbase places a heavy emphasis on competencies in Spark and big data technologies. Make sure to review your knowledge and practical experience with these tools.
• Demonstrate Your Communication Skills: Apart from technical skills, excellent communication is key. Be prepared to articulate your thought process clearly and work collaboratively with the interviewers.

Typically, interviews at Demandbase vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

• Write a function digit_accumulator to return the sum of every digit in a floating-point number string. You are given a string that represents some floating-point number. Write a function, digit_accumulator, that returns the sum of every digit in the string.

Example:

Input: python s = "123.0045" Output: ```python def digit_accumulator(s) -> 15

Since 1 + 2 + 3 + 0 + 0 + 4 + 5 = 15 ```

• How would you set up an A/B test for multiple changes in a sign-up funnel? A team wants to A/B test various changes in a sign-up funnel. For instance, on a page, a button is red and at the top. They want to see if changing the button’s color to blue and/or moving it to the bottom will increase click-through rates. How would you set up this test?

• How would you verify that a user is a high school student for a new Instagram feature? Instagram is releasing a new feature for high schoolers that allows users to identify their school and receive an associated sticker for their profile. How would you verify that a user is actually a high school student attending the school represented by their sticker?

• What is the probability that a red marble was pulled from Bucket #1? You have two buckets with different distributions of red and black marbles. Your friend pulls a red marble from one of the buckets. Calculate the probability that it was pulled from Bucket #1.

• What is the probability that two red marbles were pulled from Bucket #1? Your friend puts the red marble back and then draws two marbles sequentially, both of which are red. Calculate the probability that both red marbles were pulled from Bucket #1.

• What are time series models and why are they needed over simpler regression models? Explain what time series models are and discuss why they are necessary when simpler regression models are available.

• How would you determine if the difference between this month and the previous month is significant? You have a time series dataset grouped monthly for the past five years. Describe how you would find out if the difference between this month and the previous month is statistically significant.

• How would you analyze noisy and volatile asset price data to ensure accuracy? You are analyzing the price of a particular asset over time at a global trading company. The dataset is noisy and volatile, and the data may not be completely accurate. Describe how you would analyze this data to ensure there are no discrepancies.

• How would you analyze noisy and volatile asset price data to ensure accuracy? You are working at a global trading company analyzing the price of a particular asset over time. The dataset is noisy, volatile, and not guaranteed to be completely accurate. How would you analyze this data to ensure there aren't any discrepancies?

What is the average salary for a Data Engineer at Demandbase?

Q: What is Demandbase all about?

Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome data fragmentation by injecting Account Intelligence into the buyer journey. This allows our clients to orchestrate actions across systems and channels like advertising, account-based experience, and sales, helping them spot opportunities earlier, engage more intelligently, and close deals faster.

Q: What does the Data Engineer role at Demandbase entail?

As a Data Engineer at Demandbase, you'll be responsible for building the next generation unified data platform. This involves developing data pipelines for ingestion, normalization, and analysis. You'll work on complex datasets and ensure high reliability through comprehensive monitoring and reporting mechanisms.

Q: What skills are essential for the Data Engineer position at Demandbase?

Candidates should have a BS or MS in Computer Science, with at least 3 years of experience in a data-intensive environment. Mastery of Spark, experience with Scala, and operational skills with databases or data warehouses are crucial. Familiarity with big data tools like Kafka, Airflow, and technologies like Dataproc or BigQuery is also important.

Q: What benefits can I expect as an employee at Demandbase?

Demandbase offers comprehensive benefits including up to 100% paid Medical and Vision premiums for employees, flexible PTO, no internal meeting Fridays, and access to mental wellness platforms. Additional benefits include 401(k), life insurance, and opportunities to take two fully-paid weeks off during the year.

Q: How does Demandbase support diversity and inclusion?

Demandbase is committed to creating a workplace culture that values diversity in all its forms. We encourage applications from historically underrepresented backgrounds and strive to provide a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we actively work to create an inclusive and equitable space for all employees.

Ready to join a pioneering B2B company that values innovation, diversity, and your professional growth? Demandbase combines cutting-edge data technologies with a commitment to fostering an inclusive and empowering workplace. As a Data Engineer, you’ll have the opportunity to tackle complex problems and shape the future of Demandbase’s Unified Data Platform. If you’re eager to leverage your skills to drive impactful change and join a recognized leader in the industry, this is your chance. For a deeper dive into the interview process and to prepare thoroughly, check out our main Demandbase Interview Guide. At Interview Query, we provide you with the tools, insights, and confidence to ace your interviews and land your dream role. Good luck with your interview!