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Section · 2 days ago

Data Engineer

United States

Full-time

Remote

Mid, Senior Level

$72/hr - $79/hr

4+ years exp

Section is a leading partner for organizations in building AI-powered workforces. They are seeking a talented Data Engineer to support their Data team by building and maintaining modern data infrastructure, enabling data-driven decision making across the organization.

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Growth Opportunities

Responsibilities

Design, build, and maintain scalable data pipelines using our modern data stack (Fivetran, Stitch, Rudderstack, Snowflake, dbt Cloud, Hightouch, n8n)

Develop and optimize data models in dbt to support analytics, reporting, and data science initiatives

Implement data quality checks and monitoring to ensure reliability and accuracy across our data warehouse

Collaborate with the Head of Data to define technical architecture and best practices for data engineering

Build and maintain reverse ETL workflows to operationalize data across business systems

Write Python and JavaScript scripts when needed to solve custom data integration or transformation challenges

Partner with business stakeholders to understand data requirements and translate them into technical solutions

Document data pipelines, transformations, and infrastructure to enable team scalability

Ensure compliance with data governance and security policies

Design data infrastructure to support AI-powered use cases, including internal knowledge bases and AI-driven insights

Partner with platform and product engineering to support application analytics, API integrations, and AI model performance monitoring

Qualification

Data engineeringSQLModern data stack toolsData pipeline designPythonData warehouse designCommunication skillsProblem-solving

Required

4+ years of experience in data engineering, analytics engineering, or related technical role

Strong proficiency with SQL and experience building complex data transformations

Hands-on experience with modern data stack tools (dbt, Snowflake, Rudderstack, Fivetran, or similar ELT platforms)

Ability to write clean, maintainable code for data engineering tasks in languages like Python

Experience with data orchestration, pipeline monitoring, and troubleshooting data quality issues

Strong understanding of data warehouse design principles and dimensional modeling

Excellent communication skills and ability to work independently with minimal guidance

Comfortable working in a fast-paced environment as the primary hands-on data engineer for this engagement

Company

Section

Section is an AI workforce transformation company, focused on getting 1 million knowledge workers into the AI class through transformation planning, workforce upskilling, and workflow redesign.

Founded in 2018

New York, New York, USA

11-50 employees