Data Engineer II

Job not on LinkedIn

🕒 June 18

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $95k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BlueLabs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

📣 Marketing

💼 Consulting

Marketing • Consulting • Data Science

BlueLabs is a data science consulting firm that specializes in providing innovative analytics solutions for businesses, campaigns, and government entities. They focus on audience, influencer, media, and sustainability analytics to solve tough challenges and improve strategy, engagement, and behavioral change. With a team of passionate data science and technology experts, BlueLabs harnesses the power of data to drive impactful results and enhance communications strategy. They work on projects across various sectors, including eCommerce, to increase purchases and improve brand reputation among stakeholders.

📋 Description

• 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 • Design, build, and maintain production-grade data pipelines • Develop and champion best practices for data modeling, transformation, and testing • Drive extraction and codification of business logic from existing systems into documented, portable, cloud-agnostic layers • Collaborate with analysts, engineers, and stakeholders to meet reporting and 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

🎯 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.

🏖️ Benefits

• Premier health insurance plan • 401K matching • Unlimited vacation leave • Paid sick, personal, and volunteer leave • 13 paid holidays • 15 weeks paid parental leave • Professional development stipend & tuition reimbursement • Employee Assistance Program (EAP) • Supportive & collaborative culture • Flexible working hours • Remote friendly (within the U.S.) • And more!