Who we are

Section is the smartest, fastest, most cost-efficient partner for organizations to build AI-powered workforces. We help companies achieve 75%+ AI adoption and millions in ROI through our comprehensive product suite including ProfAI (AI-powered coaching), AI Academy (live and on-demand training), and advisory services for workforce transformation.

We're backed by leading investors and serve Fortune 100 companies including Unilever, IBM, Nike, Adobe and Autodesk. Partner with us in shaping the future of work through AI education and transformation.

Section is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status. All hiring decisions are decided on the basis of qualifications, merit, and business need. We encourage candidates of underrepresented backgrounds to apply.

Job Description

We are seeking a talented Data Engineer to support our lean, high-impact Data team. You’ll work closely with our Head of Data as the primary hands-on data engineer for this engagement, responsible for building and maintaining our modern data infrastructure. This is an opportunity to own the technical foundation of our data platform, working with a best-in-class tool stack while collaborating closely with leadership and cross-functional stakeholders to enable data-driven decision making across the organization. You'll have significant autonomy and the chance to shape much of our data architecture from the ground up.

This is a contract engagement (~40 hrs/week) for 6 months with possibility of extension.

What you’ll do:

• 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

Who you are:

• 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

Compensation

Hourly Rate: $72.00-$79.00/hour (depending on experience)

Employment Type: Contract, Full-Time (~40hrs/week)

Duration: 6 Months with possibility of extension