Staff Data Engineer

About Dutchie

About This Job

What You'll Do...

• Lead the design and implementation of scalable, reliable, and secure data architectures and pipelines.
• Establish best practices and frameworks for data engineering, ensuring performance, scalability, and maintainability.
• Mentor and collaborate with team members, fostering growth and innovation.
• Help guide and lead more junior engineers to deliver on key outcomes for the team.

• Build and optimize ETL/ELT pipelines using tools such as Fivetran and Dagster.
• Architect, deploy, and manage data warehouses and lakes, with a focus on Snowflake.
• Leverage Infrastructure-as-Code (e.g., Pulumi) to automate the provisioning and management of resources.
• Deploy and run data services in Kubernetes for scalability and efficiency.

• Design and maintain data models across various database technologies, including SQL Server, PostgreSQL, MongoDB, and AWS RDS.
• Develop advanced data models to support business intelligence and analytics needs.
• Optimize database performance and ensure robust data governance practices.

• Design and implement cloud-native solutions in AWS
• Optimize cost, performance, and scalability of cloud infrastructure.

• Set up and maintain observability platforms (e.g., Datadog) to monitor data workflows, system health, and performance metrics.
• Establish robust logging, alerting, and dashboard systems for proactive issue resolution.

• Stay ahead of industry trends, introducing new tools and methodologies to improve data engineering practices.
• Collaborate with stakeholders to align technical strategies with business objectives.

• Exceptional problem-solving abilities and analytical thinking.
• Excellent communication skills, with the ability to convey technical concepts to diverse audiences.
• Strong collaboration and leadership skills, with a focus on driving team success.

What You Bring...

• 8+ years of hands-on experience in data engineering or a related field.
• Expertise in modern data tools and platforms, including Snowflake, Fivetran, and Dagster.
• Strong proficiency with database technologies: SQL Server, PostgreSQL, MongoDB, and AWS RDS.
• Advanced knowledge of AWS cloud services, including data-centric solutions.
• Proficiency in Infrastructure-as-Code (e.g., Pulumi) and container orchestration tools like Kubernetes.
• Extensive experience in data modeling, schema design, and database optimization.
• Familiarity with observability tools such as Datadog, Grafana, or Prometheus.
• Proficiency in programming languages such as Python or Scala for data engineering tasks and C# or Ruby for application development.

It's a bonus if you...

• Experience with additional cloud platforms such as Azure or GCP.
• Knowledge of distributed systems and big data technologies.
• Familiarity with CI/CD pipelines and version control systems.
• Experience leading small-medium sized development teams

You'll Get...

• Full medical benefits including dental and vision plans to ensure you always have the best care.
• Equity packages in the form of stock options to all employees.
• Technology (hardware, software, reading materials, etc..) allowance
• Flexible vacation and sick days