Description

You will own the development and deployment of automated data products as an individual contributor.

This role is remote.

Responsibilities

• Design and build real-time and bulk data pipelines from APIs, streaming sources, warehouses, and media files.
• Write production-quality Python and SQL code using established design patterns for ingest, transformation, and egress.
• Implement DataOps practices including version control, PR-based development, CI/CD, and test automation.
• Create documentation for data lineage and dictionaries to support the enterprise data model.
• Collaborate in distributed agile teams to deliver analytic solutions.

Required Skills

• Proven experience in production-level Python development and high-quality codebases.
• Strong expertise in SQL development and production SQL codebases.
• Experience with data modeling and software engineering best practices.
• Knowledge of ML systems architecture and data science workflows, including wrangling, training, and deployment.
• Proficiency in CI/CD, schema change control, and monitoring within data engineering.
• Familiarity with Azure DevOps and Azure environments.
• Experience working in Agile environments using Scrum or Kanban.
• Bachelor’s degree in engineering, computer science, or analytical field with 3 years of experience, or Master’s/Ph.D. with 1 year.

Preferred Skills

• Working knowledge of Azure Stream Architectures, DBT, and Azure Machine Learning Environment.
• Experience with GIS data, schema change tools, and data dictionary tools.
• Understanding of Object-Oriented Programming principles and distributed systems.

Key Skills

Education

ANY GRADUATE