Data Engineer - job 1 of 2

As a Data Engineer at Paxos, your responsibilities will involve designing and optimizing our data architecture, implementing governance policies, managing Snowflake environments, and developing scalable data pipelines. You'll collaborate closely with engineering and analytics teams to drive automation and efficiency across our cloud infrastructure.

To be considered for the Data Engineer role at Paxos, candidates should have at least 3 years of relevant experience in data engineering, proficiency in cloud services, and hands-on experience with data warehousing technologies such as Snowflake, Redshift, or BigQuery. Familiarity with infrastructure as code tools like Terraform is also essential.

Data Engineers at Paxos work with a cutting-edge technology stack that includes AWS services such as EKS, RDS, Lambda, and S3, alongside Snowflake for data warehousing, and various tools for automation like DBT and Airflow. This diverse tech stack allows for innovative solutions in data management and processing.

The Data Engineering team at Paxos plays a crucial role in facilitating data access for analytics and product teams, essential for real-time decision-making and operational efficiencies. By driving innovation and maintaining robust data governance, the team supports Paxos' mission to enhance the global financial system.

The expected salary range for a Data Engineer at Paxos, based in the United States, is between $136,191 and $160,225. This competitive compensation package reflects the skills, experience, and contributions of the successful candidate.

When answering this question, highlight your specific experiences managing Snowflake environments, your understanding of data governance, and any projects where you've optimized warehouse performance. Mention any particular challenges you overcame and the outcome.

To answer effectively, discuss the importance of validation frameworks and automated testing you’ve implemented in previous projects. Share examples of how you've caught data issues early and ensure high-quality results.

Focus on techniques you have applied, such as query optimization, efficient indexing, and resource allocation within snowflake or other data warehousing platforms. Concrete examples will make your answer more impactful.

Discuss your proficiency with Terraform or similar tools by outlining specific projects or tasks where you managed cloud resources effectively. Emphasize how IaC improved deployment efficiency or reduced errors.

Talk about how open communication and regular check-ins are vital to successful collaboration. Highlight specific examples where team cooperation led to successful project outcomes.

Identify a specific challenge you encountered, such as data migration, pipeline failures, or performance issues. Explain your systematic approach to diagnosing the problem and implementing a solution.

Mention the resources you follow, such as blogs, forums, or specific industry publications. Also, discuss any groups or networks you’re part of where professionals share knowledge and insights.

Communicate your admiration for Paxos's mission to transform financial systems and your excitement about working with rapidly evolving technologies. Connect your personal career goals with the impact you hope to achieve at Paxos.

Describe the ETL or ELT pipelines you've built or maintained, including how you handled data transformations and loading. Provide insights into the tools you used and how you ensured scalability.

Discuss your understanding of essential security practices such as data encryption, access controls, and compliance requirements. Offer examples of how you’ve implemented security measures in cloud environments.