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Contract: Sr. Analytics Engineer - Internal Data

Join Newsela as a Senior Analytics Engineer Contractor to transform data into insights and mentor other engineers.

Location
Remote - Argentina; Brazil;Chile; Costa Rica
Compensation
Not disclosed
Level
senior
Type
contract · Remote

Posted by employer 3 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Newsela → Save job Scanned from newsela.com

Requirements

Experience
8+ years

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

In this role, the Senior Analytics Engineer focuses on transforming raw data into actionable business insights while ensuring data quality through advanced testing strategies. Proficiency in SQL and Python is essential, along with experience in managing data integrity and utilizing tools like dbt and Tableau. This position is ideal for seasoned professionals with over eight years in data environments who can work independently and possess a strong understanding of data systems. The role is part of Newsela's Internal Data Team, which emphasizes collaboration and proactive problem-solving.

Joblaze insights

Quick facts

Is the Contract: Sr. Analytics Engineer - Internal Data role remote?
Yes — Newsela lists this as a fully remote position.
How much experience is required?
At least 8 years of relevant experience for this Contract: Sr. Analytics Engineer - Internal Data role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Airflow, Dagster, GCP, Python, SQL.
What seniority level is this role?
Newsela targets senior candidates for this position.
Is this full-time or contract?
Contract for this Contract: Sr. Analytics Engineer - Internal Data role at Newsela.

From the original posting

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.

Why you'll love this role:

Data Modeling and Transformation

    • 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.

Data Quality and Testing

    • 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.

Collaboration and Communication

    • 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.

Infrastructure and Automation

    • Build tools and automation to run data infrastructure.
    • Manage large-scale data migrations in relational datastores.

Why you're a great fit:

  • 8+ Years experience working with data in a software environment.
  • Required Skills: 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.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

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