Data Engineer

at  Conductor LLC

PLEASE NOTE, THE EMPLOYING COMPANY IS CONDUCTOR GMBH.

Conductor is a leading Website Optimization & Intelligence platform. Today’s top brands use Conductor to create and optimize digital experiences that get found organically in search engines and drive value for customers. The platform provides actionable SEO, content, and technical website intelligence paired with real-time website monitoring to help customers accelerate—and protect—digital growth.
Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of all the people in our orbit—our customers, our customers’ customers, our employee-owners, and our communities.
We are looking for a Data Engineer who is ready for the next step in their continuing journey toward excellence. In this role, you’ll work with a team of Data Engineers and Analysts across R&D to help design and build the next generation of our data infrastructure. This entails building ETL pipelines to combine disparate data sources in a unified data lake, creating tools to automate processes and workflows, and developing Machine Learning algorithms to drive growth, efficiency and impact the bottom line.
To support our Customer Business & Engineering Team, we are looking for a new:

• Design and implement data storage structures and scalable, distributed ETL pipelines to bring disparate data sources into a unified data lake
• Develop and enhance internal reporting platform
• Partner with stakeholders from across the organization, including Engineering, Product, CS, Sales and Marketing, to understand data requirements and business objectives
• Partner with Data Analysts and Data Scientists to define data models to support reporting and dashboards to track KPIs that drive business decisions
• Develop and design procedures, systems and measurement tools to improve business processes
• Identify and improve upon current internal processes through automation and optimization
• Maintain and improve existing infrastructure and services’
• Help the organization grow and scale by enhancing customer engagement, understanding customer behavior and automating user outreach
• Monitor Data Pipelines and ETL processes to proactively address any issues and ensure predictable delivery of data assets