Data Engineer

Blue Orange Digital
Summary
Join Blue Orange Digital, a cloud-based data transformation and predictive analytics firm, as a Data Engineer to build and deploy data platforms. You will work with data teams, utilizing Azure DevOps, Databricks, and Python, among other tools. Responsibilities include designing, building, and deploying data platforms, building robust systems using automation tools, and developing high-performance data pipelines. The ideal candidate possesses strong experience with cloud data platforms, advanced Python, SQL, and Bash scripting skills, and experience with CI/CD pipelines. This fully remote position offers a flexible schedule, unlimited PTO, paid parental/bereavement leave, and the opportunity to work with top-notch teams and globally recognized clients.
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
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 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
- Any other duties as directed by your direct manager
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