Contract: Sr. Analytics Engineer - Internal Data

Seeking to hire a Senior Analytical Engineer - Contractor based out of Argentina for Newsela's Internal Data Team. We are looking for a Senior Analytics Engineer to join our data team. 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.

Responsibilities

Applying data engineering best practices to analytics code to transform, test, and document data; Providing clean and organized data sets to end users; Providing expert code reviews and mentorship to other engineers in the data space; Building and maintaining composable data models, as well as optimizing SQL query performance; Transforming raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions; Creating data visualizations and helping stakeholders explore and understand data visualization tools; Building new analyses and supporting existing ones using SQL and Python; Applying software engineering principles like version control and continuous integration to the analytics codebase; Expanding the data warehouse with clean data ready for analysis; Applying advanced data testing strategies to ensure resulting datastores are aligned with expected business logic; Implementing validation checks and automated testing procedures to manage data quality in ETL/ELT pipelines; Working with stakeholders to define business logic and data expectations; Actively surfacing insights to stakeholders to drive a change in data usage; Leading initiatives and problem definition, scoping, design, and planning; Building tools and automation to run data infrastructure; Managing 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; Track record of working autonomously and proactively, with deep domain knowledge of data systems; 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