Data Engineer

This is a fully remote position, open to applicants in Colorado, +4 more states.

📋 Description

• Create, construct, and deploy robust data platforms, including data lakehouses and warehouses, while automating their operations using tools such as Azure DevOps, Terraform, and CloudFormation.

• Develop and enhance advanced ETL/ELT data pipelines, orchestrating intricate data jobs using platforms like Databricks notebooks and dbt.

• Design and manage data models, potentially leveraging data virtualization tools like Cube.

• Utilize managed and serverless cloud solutions to produce efficient and scalable cloud-native application solutions and data pipelines.

• Implement best practices for data security and ensure adherence to governance standards.

• Construct high-performance data pipelines and integrate with BI tools such as Tableau, Looker, and Power BI.

• Provide leadership in the application of software development best practices, including CI/CD and the management of Infrastructure as Code.

⛳️ Requirements

• Over 5 years of professional experience as a hands-on Data Engineering practitioner.

• Advanced skills in Python and SQL (knowledge of TypeScript/JavaScript/Java is an advantage).

• Demonstrated experience in ETL/ELT implementation and data modeling for data warehouses/lakehouses.

• Familiarity with the Medallion Architecture (Bronze, Silver, and Gold layers).

• Experience in advanced DevOps practices, CI/CD, and robust Linux system administration capabilities.

• Proficiency in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric).

• Must submit your resume in English.

🏝️ Benefits

• Competitive base salary with performance-based bonuses.

• Extensive health, dental, and vision coverage.

• 401(k) plan with company matching contributions.

• Opportunity to work on diverse, high-impact projects across various industries.

• Direct access to cutting-edge data and AI technologies (Snowflake, Databricks, AWS, GCP, Azure).

• A builder culture where analysts take the lead on projects and deliver results, not just presentations.

• Professional development budget and support for certifications.

• Flexible remote work setup within a collaborative, high-caliber team.