Data Engineer

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes.
We partner with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions.
Our team is fully remote, globally distributed, and driven by curiosity, impact, and innovation.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.Note: Please submit your resume in English, as all application materials must be in English for review and consideration.Position overview:Blue Orange is seeking to expand our team of expert consultants with multiple experienced Data Engineers to address a set of expanding opportunities in the next several months.
Our engineers require a diverse skill set, including system administration, DevOps, infrastructure automation, data modeling, and workflow orchestration.
Blue Orange builds enterprise data platforms and systems for a variety of clients, so this candidate should have experience with supporting modern data technologies.
The ideal candidate will have experience with multiple data engineering technologies across multiple clouds and deployment scenarios.
In particular, we're looking for someone with experience with Azure DevOps, Databricks, and Python.Responsibilities:
Work with data teams to help design, build, and deploy data platforms in the cloud (Azure, AWS, GCP) and automate their operation.
Work with Azure DevOps, Azure Pipelines, Terraform, CloudFormation, and other automation and infrastructure tools to build robust systems.
Work with Databricks, Spark, Python, and other data orchestration and ETL tools to build high-performance data pipelines.
Provide leadership in applying software development principles and best practices, including Continuous Integration, Continuous Delivery/Deployment, and managing Infrastructure as Code, and Automated Testing across multiple software applications.
Support heterogeneous technology environments, including both Windows and Linux systems.
Develop reusable, automated processes and custom tools.
Requirements:
BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
At least 2 years of experience building and supporting data platforms; exposure to data technologies like Azure Data Factory, Azure Synapse Analytics, Airflow, Spark, etc.
Experience with Cloud Data Platforms, like Snowflake and Databricks.
Advanced-level Python, SQL, and Bash scripting.
Experience designing and building robust CI/CD pipelines.
Strong Linux system administration skills.
Comfortable with Docker, configuration management, and monitoring tools.
Knowledge of best practices related to security, performance, and disaster recovery.
Experience working in cloud environments, with a minimum of experience in Azure and AWS.
Enjoys collaborating with other engineers on architecture and sharing designs with the team.
Excellent verbal and written English communication.
Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment.
Preferred qualifications:
Hold certifications for Azure DevOps, Azure Data Fundamentals, Databricks, and Snowflake.
Benefits:
Fully remote
Flexible Schedule
Unlimited Paid Time Off (PTO)
Paid parental/bereavement leave
Worldwide recognized clients to build skills for an excellent resume
Top-notch team to learn and grow with
Salary: USD $6,825 - $8,350 (monthly salary range)Background checks may be required for certain positions/projects.Blue Orange Digital is an equal-opportunity employer.