Data Engineer

Role Description

We are growing our Platform Engineering team and are looking to add a Data Engineer who will be able to help build our internal data platform. This data platform is central to ensuring that our software development and data analytics teams have governed access to the data they need. As a Data Engineer on the Platform Team, you will be a part of driving the design, development, and implementation of our data platforms. Your responsibilities include:

• Partnering with the architect and engineering teams in developing our platform.
• Providing best practices and approaches to ensure security, resiliency, and availability of solutions.
• Creating strategies that ensure the secure consumption of the platform through continuous innovation, simplification, and self-service automation.

Location: This position is fully remote within the Continental United States. In-person visits to the Denver headquarters are required, on average three times per year.

Compensation: The salary range for this position is between $125k and $140k, depending on experience level.

Qualifications

• B.S. in Computer Science or equivalent experience.
• 4+ years of experience with and strong working knowledge of SQL required, and understanding of data models.
• 4+ years of experience with or strong knowledge of Postgresql, MySQL, or other relational database design and programming: stored procedures, functions, PL/pgSQL.
• Experience with or working knowledge of managing AWS Data Infrastructure: S3, RDS, Managed Streaming Kafka, Lake Formation, Glue, Glue Data Catalog, Athena, Quicksight, DataZone.
• Experience with systems engineering and/or software development: Java, Javascript, Python, PHP.
• Experience with modern API platform design, security practices, and data architectures: event-driven architecture, change data capture, pub/sub.

Requirements

• Participate in all initiatives keeping all compliance, security and regulatory needs satisfied.
• Be a thought leader by staying abreast of current and emerging technologies and industry trends.
• Work with your peers to design and build data platform capabilities and incorporate the necessary automations and tool configurations that ensure agile delivery and secure consumption.
• Design and implement processes and tools that enable product engineering and BI/Analytics teams to consume an extensible and scalable data platform, which enforces all needed governance and consistent operational models.
• Be a trusted advisor for initiatives by providing objective, practical, and relevant ideas, insights, and advice while also building organizational partnerships and networks to ensure comprehensive capabilities are developed with input from appropriate business and Engineering resources.
• Directly support the use and delivery of data platform services in the organization.
• Ensure that all data platform solutions follow established security and compliance controls.
• Maintain existing and future software services code and configuration.
• Make recommendations for improvements to existing architecture.
• Help implement new technologies for future deployment.
• Provide technical guidance, knowledge transfers, and mentorship to clients on their data platform adoption.
• Help implement and improve the development of data pipelines.
• Other duties as assigned.

Benefits

• Day‑one coverage: medical, dental, and vision plans so you’re protected from the start.
• A 401(k) with a 4% company match to keep your future on track.
• Discretionary time off - take the time you need, when you need it.
• Employer‑paid life insurance, with the option to add extra coverage for peace of mind.
• Employee Assistance Programs for confidential support when life gets complicated.
• Discounted pet insurance (because furry family members count, too).
• A fitness credit to back your health and wellness goals.
• Pre‑tax plans for dependent care, transportation, and flexible spending.