Data Engineer

This role is hybrid. Required 2 days/wk onsite.

Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.

Support regular requests to move data from one cluster to another.

Manage production support teams to make sure service levels are maintained and any interruption is resolved in a timely fashion.

Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.

Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles.

Leads efforts to design, development, deploy, and support software systems.

Collaborates with business analysts, project lead, management and customers on requirements.

Participates in the deployment, change, configuration, management, administration and maintenance of deployment process and systems.

Gather requirements, designs, constructs and delivers solutions with minimal team interaction.

Bring new data sources into GCP/HDFS, transform and load to databases.

5 years of data engineer experience Python development SQL Development Cloud experience - Azure preferred

Nice to Have Skills & Experience

Microsoft Synapse experience Dagster experience

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.