Data Engineer

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.

We’re a team of around 80 people - independent, profitable, and proud of it. Headquartered in Denver, Colorado, with offices in New York and Cardiff, Wales, we’ve built a culture anchored in respect, trust, and curiosity. We invest in our people through generous benefits, meaningful profit sharing, and an environment that values both performance and perspective.

The BI Team:

The Business Intelligence team is a team of 6 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 VP of Data and COO to understand business needs and deliver data solutions that drive decision-making across the organization and move our product forward. Responsibilities:

• Engineer and own robust, scalable ETLs for cleaning and ingesting datasets
• Build and maintain dashboards for use by internal stakeholders and external clients
• Investigate data discrepancies across ingestion, transformation, and reporting layers, identifying root causes and implementing durable fixes
• Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding data quality assurance
• Materially 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

• 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.)
• Validating data accuracy and troubleshooting discrepancies across pipelines or reporting layers (e.g., reconciling source vs. destination data, root-causing anomalies, auditing for correctness, etc.)
• Working within an agile framework (Kanban, Scrum, etc.)

Preferred Experience:

• 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.)

Be an Early Applicant Hybrid Denver, CO, USA 110K-120K Annually Junior Hybrid Denver, CO, USA 110K-120K Annually Junior Design, build, and own scalable ETL pipelines, dashboards, and data quality processes. Troubleshoot discrepancies, expand the cloud data platform, implement CI/CD and IaC practices, and collaborate with stakeholders, developers, and data scientists to deliver BI solutions. The summary above was generated by AI

Full-Time 110K - 120K, The annual base salary for this position ranges from $110,000 - $120,000, and a comprehensive benefits package - with premiums fully covered by the company. Compensation is determined by role, level, and location, with individual pay further shaped by relevant skills, experience, and education or training.

• 100% employer-paid premiums for medical, vision, dental and disability
• Participation in employee profit-sharing bonuses (subject to company performance)
• Life Insurance, EAP, HSA with employer contribution, Pet Insurance option
• Unlimited PTO
• Vacation Incentive Program
• Hybrid work schedule 3 days in office (Highlands Ranch)
• 401K company match