Dutchie · 1 day ago

Staff Data Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$190K/yr - $190K/yr

8+ years exp

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringSnowflakeFivetranDagsterAWSETL/ELT PipelinesData WarehousingInfrastructure-as-CodeKubernetesSQL ServerPostgreSQLMongoDBAWS RDSData ModelingDatabase OptimizationDatadogGrafanaPrometheusPythonScalaC#RubyCI/CD PipelinesDistributed SystemsBig Data TechnologiesCollaboration Skills