Contractor: Lead Analytics Engineer
Lead the development of scalable analytics systems and data pipelines in a fully remote role at Newsela.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 3 days ago
Requirements
- Experience
- 8+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Lead Analytics Engineer at Newsela focuses on developing and maintaining data pipelines while ensuring data quality and integrity through advanced testing strategies. Proficiency in SQL and Python is essential, along with experience in managing data tools and cloud infrastructure. This position is well-suited for a seasoned professional with over eight years in data environments, capable of working independently and driving impactful data initiatives. Newsela's commitment to enhancing educational outcomes adds a meaningful dimension to the work.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Newsela's career page.
- Newsela has 16 other open roles including Senior Recruiter, Expression of Interest: School Sales Representative (Remote, US), Contractor: Senior Quality Engineer.
- 6527 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2273 active SQL roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- Is the Contractor: Lead Analytics Engineer 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 Contractor: Lead Analytics Engineer 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 lead candidates for this position.
- Is this full-time or contract?
- Contract for this Contractor: Lead Analytics Engineer role at Newsela.
From the original posting
Why You'll Love This Role:
In this role, you will have the opportunity to directly shape our data ecosystem by building robust pipelines and applying modern software engineering principles like version control and automated testing. You’ll work closely with key stakeholders to drive data-driven decision-making, lead high-impact initiatives, and manage large-scale infrastructure and automation. If you thrive on transforming complex data into reliable, actionable insights while building scalable analytics systems, this position offers the ideal platform to showcase and expand your expertise.
What You'll Be Doing:
- 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.
- 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.
- 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.
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- Build tools and automation to run data infrastructure.
- Manage large-scale data migrations in relational datastores.
About You:
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8+ Years experience working with data in a software environment.
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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.
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You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
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Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
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Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.
Why you’ll love working at Newsela:
- Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.
All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process.
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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