Data Engineer

Posted Yesterday
9 Locations
In-Office or Remote
89K-89K Annually
Senior level
Artificial Intelligence • Machine Learning • Database
The Role
Design, build, and deploy scalable data lakehouse and warehouse platforms; implement and optimize ETL/ELT pipelines (Databricks, dbt); develop data models and Medallion architecture layers; manage CI/CD and Infrastructure as Code (Azure DevOps, Terraform, CloudFormation); use cloud-native serverless offerings across major clouds; ensure data security and governance; integrate pipelines with BI tools like Tableau, Looker, and Power BI; communicate technical designs to stakeholders.
Summary Generated by Built In
Company Overview:

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.

Position Overview:

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

Experience:

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

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Core 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.

Key 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).

Consulting & Communication:
  • 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.

Benefits
  • Fully remote

  • Flexible schedule

  • Paid parental and bereavement leave

  • Worldwide recognized clients to build skills for an excellent resume

  • Top‑notch team to learn and grow with

Salary: 7,400 USD monthly (range may vary depending on experience)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal‑opportunity employer.

Skills Required

  • 5+ years of industry experience in Data Engineering
  • Advanced proficiency in Python
  • Advanced proficiency in SQL
  • Experience implementing ETL/ELT pipelines
  • Data modeling for data warehouses and lakehouses
  • Understanding and experience with the Medallion Architecture (Bronze, Silver, Gold)
  • Experience with Databricks (including Databricks notebooks)
  • Experience with Snowflake
  • Experience with dbt
  • Advanced DevOps and CI/CD experience (Azure DevOps preferred)
  • Experience with Infrastructure as Code (Terraform, CloudFormation)
  • Strong Linux system administration skills
  • Expertise in 2-3 major cloud/data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, Fabric)
  • Experience integrating data pipelines with BI tools (Tableau, Looker, Power BI)
  • Familiarity with data virtualization tools (e.g., Cube)
  • Proficiency in TypeScript, JavaScript, or Java
  • Effective communication and ability to engage with technical and non-technical stakeholders
  • Apply best practices for data security and governance

Blue Orange Digital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Orange Digital and has not been reviewed or approved by Blue Orange Digital.

  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, and vision in current job postings, with some descriptions indicating particularly strong plan generosity. This points to a solid core insurance foundation for U.S.-based roles.
  • Retirement Support Current role descriptions consistently include a 401(k) with company match. This adds long‑term financial value to the overall package.
  • Leave & Time Off Breadth Certain postings specify unlimited PTO along with paid parental and bereavement leave. This breadth of time‑off options supports flexibility for varied life events.

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The Company
HQ: New York, NY
75 Employees
Year Founded: 2015

What We Do

Blue Orange is a data science and machine learning consulting and development firm. We build modern data warehousing to support machine learning and AI. We help companies integrate these insights to drive data-driven decision making.

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