Data Engineer II

BlueLabs, Inc.•Washington, DC

6d•$95,000 - $125,000•Remote

About The Position

As a Data Engineer II, you will be a key technical contributor working directly alongside the Director of Data to advance the vision and maturity of our data platform. This role is focused on elevating data quality, driving platform modernization, and leading the migration of existing data systems to a Kimball/star schema architecture. You will take ownership of complex, high-impact engineering work — moving from contributor to driving force on data modeling standards, hygiene practices, and the long-term scalability of our data infrastructure.

Requirements

5+ years of experience in data engineering, with a demonstrated track 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 proficiency with SQL and Python; 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.
A systematic, principled approach to data quality — experience implementing data hygiene frameworks, validation pipelines, and monitoring.
Ability to operate with autonomy and drive work forward in ambiguous or evolving problem spaces.
Strong communication skills with the ability to articulate technical decisions to both engineering and non-engineering stakeholders.
Passion for applying technical skills to social impact work and the ability to thrive in a cross-functional, mission-driven team.

Responsibilities

Partner directly with the Director of Data to translate platform vision into engineering execution
Lead the design and implementation of Kimball-style dimensional models and star schema architectures, migrating legacy data systems to a modern, scalable foundation.
Own and enforce data hygiene standards across the platform — identifying, documenting, and remediating data quality issues proactively.
Design, build, and maintain production-grade data pipelines with a focus on reliability, observability, and maintainability.
Develop and champion best practices for data modeling, transformation, and testing across the engineering team.
Drive the extraction and codification of business logic from existing systems into well-documented, portable, cloud-agnostic layers.
Collaborate with analysts, engineers, and stakeholders to ensure data models meet both current reporting needs and future platform requirements.
Provide technical guidance and mentorship to Data Engineer I team members.
Contribute to architectural decisions and participate in design reviews, bringing a principled, opinionated perspective on platform direction.
Support and improve documentation standards to ensure the codebase and data platform remain well-understood across the team.