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Blackwell Security Inc. is a start-up backed by venture capital, focused on bridging the technology gap in healthcare. Our purpose-built ecosystem provides comprehensive cybersecurity managed services for life sciences and healthcare. We are building a customizable product that ensures health systems have access to a suite of security solutions, with built-in visualization and optimization to ensure the safety of patient information.

As we continue to build out our core team, we are adding a Data Engineer to our Engineering Team. You will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data models. You will design, implement, and scale data pipelines that transform billions of records into action and insight.

This is a unique opportunity to jump into an early-stage start-up at a pivotal time and make a meaningful impact. If you thrive in a small, growing environment and love the energy of start-ups, this is the role for you!

While our headquarters are in Detroit, Michigan, this is a remote role but ideally a candidate would live in Detroit or Minneapolis, location of our core Engineering Team. This role is not eligible for visa sponsorship.

What you will do in the Data Engineer role:

• Collaborate with engineering to build and maintain an enterprise data ecosystem including ingestion, storage, organization and interface.
• Analyze the business and technical requirements for data systems and applications; Coordinate the integration of IT policies, procedures and development practices.
• Translate business requirements into data models that are easy to understand and used by different disciplines across the company.
• Design, implement, build/enhance pipelines that deliver data with measurable quality under the SLA.
• Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service.
• Champion the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements.
• Own and document foundational company metrics and benchmarks with clear definition and data lineage.
• Identify, document and promote best practices.
• Design and architect data systems, focusing not only on performance and scalability, but also on crafting a beautiful user experience.
• Define/Implement data visualizations & UX for external/internal customers.
• Taking a thoughtful approach to decision making; balance speed and quality, with a focus on tangible results.
• Explore Blackwell’s data to discover trends and opportunities, identify what questions we should be asking of our data.
• Analyze & evaluate transactional system data for transformation and use in reporting, analytics, and AI/ML.
• Evaluate and establish early strategies and usage of AI (machine learning, generative AI, etc.).

Qualities and skills for success in the Data Engineer role:

• Bachelor's degree in Computer Science, Engineering, or related technical or business field.
• Attention to detail, and Agile development experience.
• Experience with Python and AWS services.
• Experience with various data storage systems, RDBMS, Document/NoSQL DBs, etc.
• Experience implementing data pipelines via methods such as ETL, ELT, EL/TL, DaaS, Data Lake or ODS.
• Experience experimenting with and applying AI (machine learning, generative AI, etc.) in an enterprise environment.
• Experience working with multi-customer multi-tenant environments preferred. Experience with cybersecurity data is not required but is a plus.
• Adaptable and focused on solutions.

Equal Employment Opportunity

We’re proud to be an equal opportunity employer and welcome our employee’s differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Difference makes us better. Join us.