Data Engineer

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Blue Orange Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

💰 $700k Corporate round on 2022-05

Artificial Intelligence • B2B • Enterprise

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. It partners with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions, and operates as a fully remote, globally distributed team focused on building practical, production-ready systems.

📋 Description

• Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation. • Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt. • Design and maintain data models, potentially utilizing data virtualization tools like Cube. • Leverage managed and serverless cloud offerings to create performant and scalable cloud-native application solutions and data pipelines. • Apply best practices for data security and ensure compliance with governance requirements. • Build high-performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI. • Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code.

🎯 Requirements

• 5+ years of industry experience as a hands-on practitioner in Data Engineering • Advanced proficiency in Python and SQL (TypeScript/JavaScript/Java a plus) • Proven experience with ETL/ELT implementation and data modeling for data warehouses/lakehouses • Understanding and experience with the Medallion Architecture (Bronze, Silver, and Gold layers) • Experience with advanced DevOps, CI/CD, and strong Linux system administration skills • Expertise in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric) • Must submit resume in English

🏖️ Benefits

• Competitive base compensation with performance bonuses • Comprehensive health, dental, and vision benefits • 401(k) with company match • Work on diverse, high-impact engagements across industries • Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure) • Builder culture where analysts lead engagements and ship work, not slides • Professional development budget and certification support • Flexible remote work environment with a collaborative, high-talent team