Data Engineer

September 6, 2024

Blue Orange Digital

Barranquilla

OTHER

Company Overview:
Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company.
Position Overview:
Blue Orange is seeking a Data Engineer to join our amazing, growing engineering team. You will join Blue Orange's data engineering consulting practice to help build enterprise data platforms and data systems for our clients. The ideal candidate will have experience with a diverse set of modern data technologies across multiple clouds and deployment scenarios. Blue Orange's engineering team is a team of continuous learners constantly acquiring new skills and experience to add to their toolbelts.
Responsibilities:

Work with Databricks, Spark, Python, and other data orchestration and ETL tools to build high-performance data pipelines.
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 Dev Ops, Azure Pipelines, Terraform, Cloud Formation, and other Automation and infrastructure tools to build robust systems.
Provide leadership in applying software development principles and best practices, including continuous integration, continuous delivery/deployment, and managing infrastructure such 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.
And other requests as directed by your manager.

Requirements:

BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
Excellent verbal and written English communication.
At least 3 years of experience building and supporting data platforms; exposure to data technologies like Databricks, Azure Data Factory, Airflow MS Fabric
Advanced level Python, SQL, and Bash scripting.
Experience designing and building robust CI/CD pipelines.
Comfortable with Docker, configuration management, and monitoring tools.
Knowledge of best practices related to security, performance, and disaster recovery.
Experience working in cloud environments, at a minimum, experience in Azure or AWS.
Enjoys collaborating with other engineers on architecture and sharing designs with the team.