Data Engineer II: Kimball DW & Modern Pipelines

BlueLabs, Inc.

Oregon

Hybrid

USD 95,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer/hol

Job summary

BlueLabs is seeking a Data Engineer II in the United States to advance the data platform’s maturity by elevating data quality, leading platform modernization, and migrating legacy systems to Kimball/star schema architecture.

You will own complex engineering work, drive data modeling standards, and mentor Data Engineer I teammates while collaborating with analysts and stakeholders to meet current and future reporting needs.

Qualifications

  • 5+ years in data engineering with ownership of complex data platform initiatives.
  • Dimensional modeling expertise (Kimball) and star/snowflake schemas.
  • Experience migrating data warehouses or modernizing platforms.
  • Advanced SQL and Python producing production-grade, tested code.
  • dbt proficiency: tests, macros, packages, and documentation generation.
  • Hands-on with Snowflake and Redshift and modern data stack tooling.
  • Data quality frameworks, validation pipelines, and monitoring.
  • Autonomous with ability to progress work in evolving problem spaces.
  • Strong communication to engineers and non-engineering stakeholders.
  • Passion for social impact and cross-functional teams.

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.

Skills

SQL
Python
dbt
Dimensional modeling
Data pipelines

Tools

Snowflake
Redshift

Job description

BlueLabs is seeking a Data Engineer II in the United States to advance the data platform’s maturity by elevating data quality, leading platform modernization, and migrating legacy systems to Kimball/star schema architecture.

You will own complex engineering work, drive data modeling standards, and mentor Data Engineer I teammates while collaborating with analysts and stakeholders to meet current and future reporting needs.

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