Description review
Contract: Sr. Analytics Engineer - Internal Data
Newsela · Argentina, Brazil, Chile, Costa Rica · back to the listing
HR standards
44/100
poor
Title ↔ description
90/100
strong
Reads as
Data Engineer
99% confident
How others title the same work
Large employers
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
Startups
- Senior Data Engineer Camber
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
- Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity Connie Health
- DoubleVerify (DV Scibids) | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K DoubleVerify (DV Scibids)
- Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)
What the listing never says
- 22 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Originally posted on Himalayas
• 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.
Originally posted on Himalayas