Senior Big Data Engineer

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries.

We’re bold, smart, agile, and fun.

Blueprint helps organizations unlock value from existing assets by leveraging cutting‑edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team, or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands‑on experience with the world’s best technology.

We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

In this role, you will work closely with senior engineers and an engineering manager to design, develop, validate, and deploy features across large‑scale data platforms. You will be responsible for executing high‑priority engineering tasks, addressing security and governance requirements, and maintaining reliable data pipelines. The work is highly execution‑focused, with an emphasis on fast ramp‑up, independent ownership, and delivering production‑ready solutions that meet strict security, compliance, and reliability standards.

You will operate within established engineering practices, follow deployment rules, and collaborate with full‑time engineers who will support onboarding and accelerate your ramp‑up. Access to secure environments (pre‑production and production) will be required as part of this role.

• Design, develop, test, and deploy features across distributed data platforms.
• Maintain and enhance data pipelines running on big data and cloud data technologies.
• Perform security‑related engineering work, including fixing code vulnerabilities, updating secrets and identities, and ensuring secure endpoints.
• Implement governance and compliance updates, including data partitioning, access controls, and physical access restrictions.
• Write, modify, debug, and troubleshoot production code and services.
• Follow standard engineering lifecycle practices, including CI/CD, monitoring, and deployment workflows.
• Execute tasks independently with minimal oversight and deliver high‑priority items on aggressive timelines.
• Collaborate with engineers to ramp up quickly and take ownership of execution work.
• Operate within secure environments and follow all access, security, and compliance requirements.

• Minimum 5 years of experience working with large‑scale big data platforms and distributed systems.
• Strong experience with cloud data technologies such as Cosmos (Map Reducer), Spark, HDI, and ADLS Gen
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• Minimum 5 years of hands‑on experience with SQL and at least one high‑level programming language (C#, Scala, Java, or Python).
• Minimum 5 years of experience with CI/CD pipelines, debugging, monitoring, and engineering lifecycle practices.
• Proven ability to troubleshoot complex production issues and deliver reliable solutions.
• Experience working in high‑reliability data engineering environments.
• Ability to work independently in a high‑execution, fast‑paced environment.
• Experience following security, governance, and compliance standards in production systems.

• Experience working on large‑scale telemetry or data processing…