Data Engineer, Bluelabs
$95-125k
Customer analytics and behavioral science solutions
Be an early applicant
Customer analytics and behavioral science solutions
21-100 employees
Be an early applicant
$95-125k
21-100 employees
Company mission
To help organizations improve the efficacy of their communications with individuals, fine-tune their strategy, identify opportunities, and measure outcomes.
Role
Who you are
- 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
- Other duties as assigned
What the job involves
- 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
- 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
Our take
BlueLabs leverages big data to gain an understanding of and engagement with audiences, allowing its customers to launch more effective communications campaigns. The majority of its work initially came through political campaigns and social impact drives, though the company has expanded its activities into more commercial fields like brand perception and sales in the last few years.
BlueLabs has an interesting origin story, with the founding quartet all working in senior analytics roles for the Democratic Party during the 2012 presidential campaign, where Barack Obama won a second term against Mitt Romney.
Though the jury is still out on the ethics of big data methods for political motivation - for instance, the Cambridge Analytica scandal regarding its use of social media data in influencing elections - this approach has proven to be extremely effective in persuading and activating audiences. There’s also little doubt that it can be used for great causes too, as shown by BlueLabs’ work with the likes of the UN Refugee Agency, and environmental organization The Sierra Club.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Company benefits
- Premier health insurance plan
- 401K matching
- Unlimited vacation leave
- Paid sick, personal, and volunteer leave
- 14 paid holidays + winter break
- 15 weeks paid parental leave
- Professional development stipend & tuition reimbursement
- Employee Assistance Program (EAP)
- Supportive & collaborative culture
- Flexible working hours
- Remote friendly
Company HQ
Northwest Washington, Washington, DC
Leadership
Elan Kriegel
(Co-Founder)Previous Battleground States Analytics Director for the 'Obama for America' campaign in 2011-2012, and Chief Analytics Officer for the 'Hillary for America' campaign in 2015-2016.
Chris Wegrzyn
(Co-Founder, CTO & Senior Advisor)Previous Director of Data Architecture for the Democratic National Committee. Current Fellow at Schmidt Futures.
Dan Porter
(Co-Founder & Head of Data Science)Experience as Director of Modeling for the 'Obama for America' campaign in 2011-2012.
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