Data Engineer II

Remote (United States)

Employment Type

Full-Time

Salary range: $95,000 - $125,000 per year

About the Role

This opportunity is for a Data Engineer II to help advance and modernize a data platform through stronger data modeling, better data quality, and scalable engineering practices. The role works directly with data leadership and focuses on migrating legacy systems into a modern Kimball-style dimensional model and star schema architecture.

This position is a key technical contributor role with ownership over complex data platform initiatives, production-grade pipelines, data hygiene standards, documentation, and long-term infrastructure scalability.

What You’ll Do

• Partner directly with data leadership to translate platform vision into technical execution.
• Lead the design and implementation of Kimball-style dimensional models and star schema architectures.
• Migrate legacy data systems to a modern, scalable data foundation.
• Own and enforce data hygiene standards by identifying, documenting, and resolving data quality issues proactively.
• Design, build, and maintain production-grade data pipelines focused on reliability, observability, and maintainability.
• Develop and promote best practices for data modeling, transformation, and testing.
• Extract and codify business logic from existing systems into well-documented, portable, cloud-agnostic layers.
• Collaborate with analysts, engineers, and stakeholders to ensure data models support current and future reporting needs.
• Provide technical guidance and mentorship to junior team members.
• Contribute to architectural decisions and participate in design reviews.
• Improve documentation standards to keep the platform and codebase clear and maintainable.
• Perform other duties as assigned.

Qualifications

• 5+ years of experience in data engineering with a proven record of owning and delivering complex data platform initiatives.
• Deep expertise in dimensional modeling, including Kimball methodology and star/snowflake schema design.
• Experience leading or significantly contributing to data warehouse migrations or platform modernization efforts.
• Advanced SQL and Python skills, with the ability to write production-quality, well-tested, maintainable code.
• Strong command of dbt, including advanced features such as custom tests, macros, packages, and documentation generation.
• Hands-on experience with Snowflake, Redshift, and modern data stack tooling.
• Systematic and principled approach to data quality, including experience with data hygiene frameworks, validation pipelines, and monitoring.
• Ability to work autonomously and drive projects forward in ambiguous or evolving problem spaces.
• Strong communication skills with the ability to explain technical decisions to both engineering and non-engineering stakeholders.
• Interest in applying technical skills to social impact work.
• Ability to thrive in a cross-functional, mission-driven team environment.

Benefits

• Premier health insurance plan.
• 401(k) matching.
• Unlimited vacation leave.
• Paid sick, personal, and volunteer leave.
• 13 paid holidays.
• 15 weeks of paid parental leave.
• Professional development stipend and tuition reimbursement.
• Employee Assistance Program.
• Supportive and collaborative culture.
• Flexible working hours.