Data Engineer

Blue Orange Digital•Miami, FL

9h•Remote

About The Position

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight. We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work. This role is for an experienced, hands‑on practitioner capable of designing and implementing performant and scalable data solutions, and optimizing data flow.

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).
Effective communication skills.

Nice To Haves

TypeScript/JavaScript/Java a plus.

Responsibilities

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.
Participate in customer engagement activities, clearly communicating technical concepts, design decisions, and project progress to stakeholders.
Collaborate with both technical and non‑technical stakeholders.