Director of Data Engineering, Bluelabs
$140-160k
Customer analytics and behavioral science solutions
Job no longer available
Customer analytics and behavioral science solutions
21-100 employees
Job no longer available
$140-160k
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
- Bachelor's or higher degree in Computer Science, Data Science, Information Technology, or a related field. Master's degree is a plus
- Proven experience (8+ years) in data engineering or a related field, with at least 3+ years in a leadership/management role
- Strong expertise in data pipeline design, ETL processes, data warehousing, and data integration
- Proficiency in programming languages such as Python, c#, and R. Familiarity with SQL and Python required
- Experience with cloud-based data technologies (e.g., AWS, Azure, GCP) and big data frameworks (e.g., Redshift, BigQuery)
- Solid proficiency in database systems, data modeling, and schema design
- Proven success acting in both an individual contributor and management capacity; experience developing high-performing data engineering teams while executing individual projects and tasks
- Excellent leadership, communication, and interpersonal skills; experience fostering a collaborative and inclusive team environment, promoting professional growth and skill development
- Demonstrated ability to manage complex projects and deliver high-quality results on time
- Strong analytical and problem-solving skills, with a focus on innovation and continuous improvement
What the job involves
- You’ll be working with a team of professionals with various work backgrounds and experiences who seek to make Blue Labs a more efficient, compliant, and positive place to work
- As a member of the team, you might answer questions like:
- What is a current need at BlueLabs, and how can we build a process that addresses it?
- How can we make existing systems more efficient and values-driven?
- How can I create a plan that sets BlueLabs, its staff, and its clients up for success?
- How can I best position my team to plan for the challenges of tomorrow and their professional development and growth?
- How can I proactively identify roadblocks and break them down for my team before they get hit?
- Work with the Data Engineering Team to define and maintain data infrastructure standards and best practices to ensure consistency, reliability, and maintainability of data pipelines and systems
- Develop and architect complex data systems including large data migration projects
- Design, implement, and manage data pipelines, ETL processes, and data warehousing solutions that ensure efficient data ingestion, transformation, and storage
- Evaluate and select appropriate technologies, tools, and platforms to enhance data engineering capabilities and scalability
- Optimize data pipelines for performance, scalability, and reliability, considering factors like data volume, velocity, and variety
- Monitor and troubleshoot data engineering processes to identify and resolve issues in a timely manner
- Partner with IT stakeholders to ensure data privacy, security, and compliance standards are maintained
- Provide strategic direction and technical leadership to data engineers across the organization, fostering a culture of innovation, collaboration, and continuous improvement
- This position is split 40% Management and 60% individual contributor work
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 & 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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