Data Engineer II

BlueLabs, Inc.•Washington, DC

3d•$95,000 - $125,000•Remote

About The Position

As a Data Engineer II at BlueLabs, you will work directly alongside the Director of Data to advance the vision and maturity of the company’s data platform. The role focuses on improving data quality, modernizing the platform, and migrating existing data systems to a Kimball/star schema architecture. You will own complex engineering initiatives and help establish data modeling standards, hygiene practices, and a scalable data infrastructure. You will design and maintain reliable, observable, and maintainable production data pipelines; develop data modeling, transformation, and testing best practices; and move business logic from existing systems into documented, portable, cloud-agnostic layers. You will collaborate with analysts, engineers, and stakeholders, provide technical guidance to Data Engineer I team members, contribute to architectural decisions and design reviews, and improve documentation standards. BlueLabs provides analytics services and technology to organizations across advocacy, labor, politics, international affairs, and commercial industries. The company describes its environment as friendly, supportive, collaborative, flexible, remote-friendly within the U.S., and mission-driven, with a focus on using data to address social and analytical challenges.

Requirements

At least 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, including the ability to write production-quality, well-tested, maintainable code.
Strong command of dbt, including custom tests, macros, packages, and documentation generation.
Hands-on experience with Snowflake, Redshift, and modern data stack tooling.
Experience implementing data hygiene frameworks, validation pipelines, and monitoring.
Ability to work autonomously and drive work forward in ambiguous or evolving problem spaces.
Strong communication skills and ability to explain technical decisions to engineering and non-engineering stakeholders.
Passion for applying technical skills to social impact work and ability to thrive in a cross-functional, mission-driven team.

Responsibilities

Partner 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, including migration of legacy data systems.
Own and enforce data hygiene standards by identifying, documenting, and proactively remediating data quality issues.
Design, build, and maintain production-grade data pipelines focused 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 documented, portable, cloud-agnostic layers.
Collaborate with analysts, engineers, and stakeholders to ensure data models meet 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.
Support and improve documentation standards so the codebase and data platform remain well-understood across the team.
Perform other duties as assigned.