Data Engineer

Continuum Media is a national advertising platform specializing in providing solutions for brands to access and measure large sources of hard-to-reach television ad impressions. Headquartered in Denver with offices in New York City, Chicago, and the U.K., we are building a workplace where teammates, the company, and our clients can thrive. The degree to which we collectively succeed is predicated upon respect, trust, safety, transparency, and personal accountability. We encourage camaraderie, laughter, and an open-minded and curious workplace, while holding all employees to the highest professional and ethical standards.

The Business Intelligence team is a highly collaborative, pragmatic, and iterative group of individuals. The team fully believes that each member should be a well-rounded contributor, eliminating single points of failure and ensuring seamlessness when delivering on the day-to-day and long-term projects alike, gaining the knowledge of not just specific functionalities, but all within the department. Whether it is creating and managing visualizations in our reporting platform for our customers to utilize on the front-end, engineering ETLs regarding numerous data sources feeding our dashboards and databases on the back-end, or supporting our operational teams with custom data processes, you will have a hand in the entirety of the BI platform.

Responsibilities:

• Engineer robust, scalable ETLs for ingesting new datasets; utilize data for reporting purposes.
• Build and maintain dashboards for use by internal stakeholders and external clients.
• Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding data quality assurance.
• Significantly improve and expand the company’s cloud-based, data platform.
• Implement and/or refine CI/CD, IaC, test-driven development, agile, and reporting strategies for the department that can scale.
• Gather requirements from clients, partners, and all internal departments by understanding their needs, challenges, and goals.
• Collaborate with software developers and data scientists to deliver cross-departmental solutions.
• Communicate new features and lead training sessions for internal users, clients, and partners.
• Foster and embrace a healthy culture of collaboration, strengthening the team’s agile roots.