Data Engineer II

As a Data Engineer II at Velocity Global, your primary responsibilities include implementing and maintaining data pipelines using SQL and Python, designing and developing data warehouse models, and constructing workflows for efficient data orchestration with Airflow. You'll also collaborate with cross-functional teams to design data solutions that meet business needs while ensuring adherence to data governance practices.

To qualify for the Data Engineer II position at Velocity Global, you should have at least 3 years of data engineering experience, hands-on expertise with SQL and Python, and familiarity with AWS services. Knowledge of modern data stack components like Fivetran, dbt, and Airflow is essential, along with a strong understanding of data governance and PII handling practices.

In this role, you will work with modern data technologies including AWS for infrastructure management, dbt for data modeling, and Airflow for workflow orchestration. Knowledge of tools like Snowflake, Fivetran, and Monte Carlo is also beneficial as you strive to implement best practices in data engineering.

The work environment at Velocity Global for a Data Engineer II involves a hybrid model, blending in-office collaboration at our Palo Alto location with remote work flexibility. You'll work in a space that emphasizes diversity and inclusion, engaging with a talented team focused on innovation and continuous improvement in data practices.

Velocity Global is committed to fostering your career development as a Data Engineer II by encouraging continuous learning and skill expansion in data engineering. The company also promotes a culture of collaboration, providing opportunities for knowledge sharing through code reviews and team documentation practices.

When answering this question, focus on specific projects where you implemented data modeling techniques using tools like dbt or SQL. Discuss how your approach contributed to creating scalable and maintainable analytics solutions while ensuring data quality and integrity.

You should highlight your understanding of data governance practices and specific measures you've taken to handle PII securely, such as implementing encryption protocols and access controls when working with cloud environments. Providing examples from past experiences will enhance your response.

Mention specific tools, such as Airflow, and describe how they've allowed you to schedule and monitor workflows efficiently. Share examples of how utilizing these tools improved data processing times or facilitated better error handling in your projects.

In your response, be prepared to discuss specific AWS services you've utilized, such as S3 for storage or Redshift for data warehousing. Emphasize how your experience with AWS has improved the infrastructure management processes in your previous roles.

Choose a relevant example and explain the challenge clearly. Highlight your problem-solving skills and any specific tools or methods you used to address the challenge, showcasing your analytical mindset and ability to deliver solutions under pressure.

Discuss your definition of data quality—accuracy, completeness, consistency, and timeliness. Include specific strategies you've employed to ensure data quality, such as data validation checks or performance monitoring techniques throughout the data pipeline.

Emphasize the importance of communication and teamwork in your approach. Discuss methods you've used to foster collaboration, such as regular check-ins, documentation sharing, and active participation in team meetings to align on project goals.

Describe your familiarity with CI/CD practices in data engineering, focusing on how you've implemented such pipelines to automate testing and deployment of data models. Mention specific tools that you’ve used and the results achieved from these implementations.

Outline your strategies for continuous learning, such as attending industry conferences, online courses, or subscribing to data engineering publications. Highlight any recent tools or technologies you've learned and how they could benefit your work as a Data Engineer II.

In answering this question, convey your enthusiasm for Velocity Global’s mission to simplify global workforce management. Discuss how the company’s commitment to diversity and innovation aligns with your values and career goals, making it an ideal environment for you to excel.