Data Engineer

As a Data Engineer at Zip, you'll be responsible for designing and maintaining scalable, reliable data pipelines, creating robust data models that aid in business decisions, and directly contributing to the development of customer-facing products like embedded analytics and data warehouse sharing. Your role will involve collaborating with teams to ensure data quality and drive analytics capabilities across the organization.

To qualify for the Data Engineer position at Zip, you should have at least 2 years of experience in data engineering, proficient knowledge of data processing frameworks such as Airflow and dbt, and familiarity with data warehousing technologies like Snowflake or Redshift. A degree in Computer Science or Engineering is preferred, alongside the ability to communicate complex technical projects to non-technical audiences.

Data Engineers at Zip should be well-versed in data processing technologies and frameworks such as Airflow and luigi, along with strong experience in data warehousing solutions like Snowflake, Clickhouse, and Redshift. Familiarity with analytics tools such as Superset or Looker, as well as deployment on AWS and Kubernetes, is also a valuable asset.

The salary for the Data Engineer role at Zip ranges from $150,000 to $200,000, reflecting various job-related factors such as location, experience, education, and specialized skills. It's an attractive package designed to recognize your expertise and contribution to our growing company.

At Zip, Data Engineers can look forward to a collaborative and inclusive work environment that values innovation and individual contributions. With perks like flexible PTO, catered meals, and a commitment to diversity, Zip seeks to create a space where every employee can thrive and engage in team-building activities.

Be prepared to discuss specific frameworks you've used, such as Airflow or Luigi. Detail how you've implemented these tools in past projects to enhance data workflows, ensuring to mention your approach to overcoming challenges in those implementations.

Provide examples of your data validation processes, such as writing unit tests for your data models, usage of automated data quality tools, and methods you've employed to correct errors. Highlight your systematic approaches to maintain data integrity.

Discuss specific business-critical data models you’ve built, illustrating the challenges faced and how they supported business decisions. Mention the tools and methodologies you used and how you collaborated with stakeholders during this process.

Explain a situation where you effectively communicated complex technical subjects to non-technical audiences, emphasizing the methods you used to convey important project details simply and effectively, ensuring they understood the impact on their objectives.

Highlight the data warehousing technologies you’re experienced with and share specific projects where you leveraged those solutions. Discuss the insights gained from these experiences and how they shaped your understanding of best practices in data warehousing.

Share a specific example of a complex data pipeline, outlining the challenges you encountered and how you addressed them. Focus on the architecture, technologies used, and the eventual success of the project in meeting business needs.

Mention your commitment to continuous learning by engaging with online courses, attending conferences, or participating in communities. Specific examples of recent topics or technologies you’ve explored can showcase your proactivity in your professional development.

Describe your strategy starting from understanding user needs through to designing the tool. Discuss components like UX design, data access, dashboard features, and how you would gather feedback for continuous improvement after launch.

Engage in a discussion about emerging trends like real-time analytics, ML integration, and automation in data engineering. Share your perspective on how these trends might evolve and impact the industry, showcasing your ability to think critically about future developments.

Highlight your enthusiasm for working at Zip and how our mission and values resonate with you. Discuss specific aspects of the company and position that appeal to you, and how you see your skills making a meaningful contribution to the team's success.