Data Engineer at Continuum Media Network Inc

Denver, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

110000.0

Posted On

21 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, Python, SQL, AWS, GCP, Azure, Git, Automated Testing, Data Visualization, Agile, CI/CD, IaC, Containerization, Collaboration, Feedback

Industry

Advertising Services

Description

Description Full-time Salary: 105K – 110K Location: Denver CO/Hybrid Who we are: 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. Talent runs deep, but character even deeper. Each office has its own unique character(s). We’re spread out across time zones, even countries, but that doesn’t mean we don’t have a common sense of commitment. The BI Team: 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. Responsibilities: 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 Require Experience: 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.) 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.) What we offer: We provide employees with an environment in which they can develop their skills and grow as individuals within our team. We do this by providing training opportunities, conference attendance, and subscriptions to online courses. Our aim is that you will think of a role at Continuum Media as more than a salary and more than just a job. To demonstrate this to employees, we provide: 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

Responsibilities

The Data Engineer will engineer and own robust, scalable ETLs for cleaning and ingesting datasets, as well as build and maintain dashboards for internal stakeholders and external clients. They will also analyze and validate data assets to ensure accuracy and reliability.