Lead Analytics Engineer — Remote Data Pipelines & Insights

Newsela; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Newsela is seeking a senior data engineer to shape our data ecosystem by building robust pipelines, applying software engineering practices, and enabling data-driven decision-making across the organization.

You will own data modeling, testing, and collaboration with stakeholders, driving large-scale infrastructure and automation to deliver reliable analytics. 8+ years in data-focused software roles, with strong SQL/Python and dbt/DAG tooling experience, are required.

Qualifications

• 8+ years experience working with data in a software environment.
• Proficient in SQL and Python; advanced experience with data tooling, data cataloging and data integrity testing frameworks.
• Experience with dbt orchestration and best practices.
• Knowledge of cloud-based infrastructure (AWS, GCP) and DAG tooling such as Dagster or Airflow.

Responsibilities

• Model, transform, and analyze data using SQL and Python.
• Apply software engineering principles to analytics codebase (version control, CI).
• Expand data warehouse with clean data for analysis.
• Implement data quality checks and automated tests for ETL/ELT pipelines.
• Collaborate with stakeholders to define data logic and drive insights.
• Build tools to run data infrastructure and manage large-scale migrations.

Skills

SQL

Python

Data catalog tooling

Data integrity testing

dbt orchestration

Dagster

Airflow

Tableau

Relational datastores

AWS

GCP

Terraform

Tools

dbt

Dagster

Airflow

Tableau

Terraform

Job description

Newsela is seeking a senior data engineer to shape our data ecosystem by building robust pipelines, applying software engineering practices, and enabling data-driven decision-making across the organization.

You will own data modeling, testing, and collaboration with stakeholders, driving large-scale infrastructure and automation to deliver reliable analytics. 8+ years in data-focused software roles, with strong SQL/Python and dbt/DAG tooling experience, are required.