Contract: Sr. Analytics Engineer - Internal Data

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. They are seeking a Senior Analytics Engineer to join their Internal Data Team, responsible for applying data engineering best practices to analytics code and transforming raw data into business insights.

Responsibilities:

• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data
• You will provide clean and organized data sets to end users
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them
• Build new analyses and support existing ones using SQL and Python
• Apply software engineering principles like version control and continuous integration to the analytics codebase
• Expand our data warehouse with clean data ready for analysis
• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines
• Work with stakeholders to define business logic and data expectations
• Help drive a change in the usage of data by actively surfacing insights to stakeholders
• Lead initiatives and problem definition, scoping, design, and planning
• Build tools and automation to run data infrastructure
• Manage large-scale data migrations in relational datastores

Requirements:

• 8+ Years experience working with data in a software environment
• Mastered proficiency in SQL and Python
• Advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks
• Experience with dbt orchestration and best practices
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores