Data Engineer

Who We Are

Unwrap.ai is on a mission to make every company more customer centric. We're helping companies like Lyft, JetBlue, and Github collect and process feedback more effectively from sources like Zendesk, App Store reviews, Reddit, and Twitter.

We're currently a team of 10 and growing quickly. We are venture-backed, including the Allen Institute for Artificial Intelligence and Kevin O'Connor's ScOp VC (former founder and CEO of DoubleClick).

Our founders, two ex-Amazon Alexa Product Managers, were tired of manually sifting through customer reviews, support tickets, and bugs while working on Alexa.

They understood the importance of listening to customers and prioritizing their requests effectively, but simply had too much feedback to parse through.

So, Unwrap.ai was born to solve this problem. Specifically, at Unwrap we use Natural Language Processing to automatically cluster, tag, and analyze customer feedback to help product and engineering teams build what customers want.

The ultimate goal is to make companies more customer centric and focus on the product improvements that matter most.

Check below to see if you have what is needed for this opportunity, and if so, make an application asap.

The Role

Are you a data enthusiast with a talent for connecting diverse data sources and a passion for enhancing system architectures?

Do you thrive in a fast-paced environment where you can tackle challenging engineering problems and make a significant impact from day one?

If so, we have an exciting opportunity for you!

As our first full-time Data Engineer, you will be at the forefront of shaping the future of our data ingestion infrastructure.

You will be responsible for building real-time data pipelines that integrate data from various external sources such as Survey Monkey, Zoom, Zendesk, and many others into our system.

Your work will ensure extremely high reliability and seamless data flow. Additionally, you will lead the charge in upgrading our underlying architecture, making it robust, scalable, and future-proof to handle the complexities of modern data engineering.

Key Responsibilities

• Design, develop, and maintain data pipelines that integrate data from external sources like Survey Monkey, Zoom, Zendesk, and more, ensuring seamless data flow and synchronization.
• Evaluate and enhance the current data architecture to support scalability, performance, and reliability, taking full ownership of the data integration and architecture systems.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, ensuring data quality and accessibility.
• As the team grows, mentor and oversee junior data engineers, fostering a collaborative and innovative environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Proven experience in data engineering, with a focus on integrating external data sources and system architecture.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data integration tools and platforms (e.g., Apache NiFi, Talend, Fivetran).
• Strong knowledge of database systems (SQL and NoSQL) and data warehousing solutions.
• Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a fast-paced environment
• You are authorized to work in the United States without sponsorship

This is a full-time, in-person role in beautiful Santa Barbara, CA. Our office is downtown, walking distance to great restaurants, coffee shops, and the beach.

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