Data Engineer

at  Blue Orange Digital

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’, 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 team to help build up our data engineering practice. 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.

REQUIREMENTS:

• BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
• At least 2 years 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, at a minimum 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, Snowflake

• 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 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 technologies environments including both Windows and Linux systems.
• Develop reusable, automated processes, and custom tools.