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Data Engineer

United States, Denver 105000.00 - 115000.00 USD / Year · Job Posted January 29, 2026
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Job Description

Continuum is a Managed Service TV advertising platform - making the buying and execution of linear TV advertising easier, faster, and more effective. Our proprietary platform is the industry’s only true linear TV exchange and it connects directly into cable, broadcast, and streaming inventory, allowing us to plan, activate, and optimize campaigns end-to-end within a single system for agencies and advertisers. We replace the manual, RFP-based buying process with an exchange model that predicts the availability and price of linear inventory – powered by automation, data, and expert media stewardship. The result: more effective reach, faster execution, and a unified view of campaign performance. The Business Intelligence team is a team of 8 highly collaborative, pragmatic, analytical individuals. We’re full-lifecycle data engineers - each team member owns solutions end-to-end, from design through deployment to validation, 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, disparate data sources feeding our dashboards and other data assets 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! You will report directly to a Lead Data Engineer and work closely with the Director of Data and COO to understand business needs and deliver data solutions that drive decision-making across the organization and move our product forward.

Job Responsibility

  • Engineer and own robust, scalable ETLs for cleaning and ingesting datasets
  • Build and maintain dashboards for use by internal stakeholders and external clients
  • Analyze and validate data assets, ensuring accuracy and reliability
  • 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, automated testing, agile, and reporting strategies for the department that can scale
  • Gather requirements from external clients and internal stakeholders and translate them into actionable bodies of work for the BI team
  • Collaborate with software developers and data scientists to deliver cross-departmental solutions
  • Communicate new features and lead trainings for internal users
  • Foster and embrace a healthy culture of collaboration and feedback, strengthening the team’s agile roots

Requirements

  • 1-3 years with: BI platform development and/or data engineering
  • Scripting and programming in Python
  • SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc.)
  • One cloud computing service (AWS, GCP, Azure, etc.)
  • Git version control (Bitbucket, GitHub, etc.)
  • Automated tests as a core part of development workflow (unit, integration, etc.)
  • Data visualization tools (Tableau, QuickSight, Power BI, etc.)
  • Working within an agile framework (Kanban, Scrum, etc.)

Nice to have

  • 1-2 years with: IaC tools (CloudFormation, CDK, Terraform, etc.)
  • Building and maintaining CI/CD pipelines (Bitbucket Pipelines, Jenkins, GitHub Actions, etc.)
  • Containerization technologies (Docker, ECS, etc.)

What we offer

  • 100% employer-paid premiums for medical, vision, dental, and disability insurance
  • Participation in employee profit-sharing bonuses (subject to company performance)
  • Unlimited PTO
  • Life Insurance, EAP, HSA with employer contribution, Pet Insurance option
  • Vacation Incentive Program
  • Hybrid In-Office/Remote Work Schedule
  • 5% 401K company match
  • Continued education/career growth financial support
  • Annual paid volunteer day

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