Data Engineer

Data Engineer

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Understanding of data engineering fundamentals and architecture.
• Strong SQL query writing with columnar databases (BigQuery).
• Programming ability (python).
• Ability to communicate effectively with technical and non-technical audiences.

Responsibilities

• Develop, test, deploy, and maintain data pipelines and products; Maintain established data architectural standards and ETL/ELT best practices consistent with a cloud-based data store in an analytic use case.
• Interface with analysts, data scientists, product managers, business leaders, and others in IT to discuss the design, implementation, and testing of data pipelines and products.
• Actively engage in the Agile delivery process and participate in improvement conversations.
• Learn through successful and failed experimentation when tackling new problems; Actively seek ways to grow and be challenged using both formal and informal development channels (including self-development).

Preferred Qualifications

• Working knowledge of Tableau
• Working knowledge of presentation software (e.g., Microsoft PowerPoint)
• Demonstrated ability to collaborate and work effectively with cross-functional teams
• Demonstrated project management skills
• Excellent written and verbal communication skills
• Experience building ETL/ELT pipelines with orchestration through Jenkins
• Exposure to CI/CD tools (jenkins), version control (git), data processing (dbt), and workflow orchestration (airflow/kubeflow/etc.)
• Experience with data warehousing and dimensional modeling
• Familiarity with Agile methodologies and the Jira platform
• Ability to go from whiteboard discussion to code
• Natural inclination to explore and implement new ideas and technologies
• Experience working directly with subject matter experts in both business and technology
• Ability to act independently with minimal supervision