Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This role is for an experienced, hands-on practitioner capable of designing and implementing performant and scalable data solutions, and optimizing data flow.

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.
• Effective communication and the ability to collaborate with both technical and non-technical stakeholders.

Requirements

• 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).

Skills

• Python
• SQL
• TypeScript
• JavaScript
• Java
• ETL/ELT
• Data Modeling
• Data Warehouses
• Data Lakehouses
• Medallion Architecture
• DevOps
• CI/CD
• Linux System Administration
• Azure
• AWS
• GCP
• Snowflake
• Databricks
• Fabric
• Azure DevOps
• Terraform
• CloudFormation
• Databricks notebooks
• dbt
• Cube
• Tableau
• Looker
• Power BI

Location

• Remote

Work Type

• Remote
• Full-time

Experience Level

• 5+ years of industry experience as a hands-on practitioner in Data Engineering.

Salary/Compensations

• $135,000 – $155,000 USD yearly

Benefits

• Competitive base compensation with performance bonuses
• Comprehensive health, dental, and vision benefits
• 401(k) with company match
• Professional development budget and certification support

About the Company

• 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.
• 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
• Flexible remote work environment with a collaborative, high-talent team

Equal Opportunity

• Blue Orange Digital is an equal‑opportunity employer.