Contract: Sr. Analytics Engineer - Internal Data

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Contract: Sr. Analytics Engineer - Internal Data Remote - Argentina; Brazil; Mexico; Colombia; Chile; Costa Rica Seeking to hire a Senior Analytical Engineer - Contractor based out of Mexico or 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

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