Data Engineer

Continuum Media Network Inc • Denver, CO

2d • $110,000 - $120,000 • Hybrid

About The Position

Continuum is a Managed Service TV advertising platform that simplifies and enhances the buying and execution of linear TV advertising. Their proprietary platform functions as an industry-first linear TV exchange, integrating directly with cable, broadcast, and streaming inventory. This integration enables end-to-end campaign planning, activation, and optimization within a single system for agencies and advertisers. Continuum replaces the traditional manual, RFP-based buying process with an exchange model that leverages automation, data, and expert media stewardship to predict linear inventory availability and pricing. This approach results in more effective reach, faster execution, and a consolidated view of campaign performance. The company is a profitable, independent entity with approximately 80 employees, headquartered in Denver, Colorado, and with offices in New York and Cardiff, Wales. Continuum fosters a culture of respect, trust, and curiosity, investing in its employees through generous benefits, profit sharing, and an environment that values both performance and perspective.

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.)
• 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.)

Nice To Haves

• 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.)

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

Benefits

• 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
• 401K company match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed