• Lead, support, and develop a team of software engineers through regular feedback, coaching, performance management, and career development — building an environment of clarity, ownership, and high standards • Partner with Product and stakeholders to translate priorities into realistic plans and clear execution, balancing speed, quality, technical complexity, and business impact • Stay close to architecture, design, and implementation decisions — supporting strong engineering judgement across the team and maintaining high standards in code quality, testing, and system design • Support the team in building stable, production-ready systems that scale with demand — driving improvements in observability, performance, resilience, and operational practice • Work closely with Product, Design, and other Engineering teams to align on priorities, dependencies, and risks — communicating clearly and driving decisions in ambiguous, fast-moving environments • Help the team make good decisions about sequencing, trade-offs, and technical debt — surfacing delivery risks early and keeping execution on track • Contribute to hiring, onboarding, and team design — identifying capability gaps and ensuring new joiners are set up to succeed • Continuously improve team processes, planning, and engineering workflows — and reinforce a culture of ownership, trust, accountability, and constructive challenge

Role Description Are you a hands-on data engineering leader who thrives at the intersection of architecture, automation, and scale? A rapidly growing, mission-driven organization is seeking an Engineering Manager – Data Warehouse to lead the design and evolution of a modern Databricks/Azure lakehouse powering enterprise-wide analytics and AI initiatives. This is not a maintenance role. This is a build, scale, and lead opportunity. - Architect and own a next-generation data platform at enterprise scale - Operate as a true technical leader—not just managing, but building - Drive AI-enabled data capabilities across a modern cloud ecosystem - Lead and mentor a high-performing, innovation-driven engineering team - Work in a mission-driven environment where your work directly impacts lives What You'll Do: - Lead architecture, engineering, and optimization of a Databricks + Azure data platform - Design scalable, secure, and compliant data pipelines, lakehouse models, and analytics frameworks - Implement DevSecOps and CI/CD automation across the data lifecycle - Drive AI/ML integration to accelerate insights and data efficiency - Mentor and grow a team of data engineers while setting engineering standards and best practices - Partner cross-functionally to deliver trusted, high-quality data solutions Qualifications - 7+ years in data engineering / data warehouse architecture - Proven experience leading enterprise-scale data platforms - Deep expertise in Databricks (Delta Lake, Spark, MLflow) - Azure Data Services (ADF, Synapse, Storage, SQL) - Strong background in CI/CD, DevSecOps, automation frameworks - Secure, compliant data environments (regulated industries preferred) - Demonstrated ability to lead, mentor, and scale engineering teams Benefits - Precision over volume – curated candidates aligned to technical and leadership requirements - Speed to slate – top-tier candidates presented within 3–5 days - Passive talent access – we engage high-impact leaders not actively applying - High interview-to-offer ratio – we prioritize alignment from the start - We partner closely with both clients and candidates to ensure the right fit, the first time Company Description At Northwest Talent Solutions, we don't flood clients with resumes—we deliver precision-matched talent.

Role Description We’re looking for a Tech Lead with deep full-stack and database expertise, someone who understands how systems behave under load, how data moves, and how to make the right trade-offs. You won’t be only measured by how well you write Node.js, you’ll be measured by: - The problems you choose to solve - The decisions you make around data and architecture - Your ability to lead through influence and drive outcomes What You’ll Do - Identify and prioritize high-impact technical and product problems - Design and guide scalable backend and data systems - Own architectural decisions across data, services, and system boundaries - Ensure systems are efficient, reliable, and scalable under real-world conditions - Lead execution through others (not just individual contribution) - Partner with Product to ensure technical work drives business outcomes Qualifications - Deep Database Expertise (Critical) - Strong knowledge of relational databases (SQL) - Experience with: - Query optimization - Indexing strategies - Transactions & isolation levels - Concurrency control - Ability to reason about performance and trade-offs at the data layer - Distributed Systems & System Design - Strong understanding of: - Queues, message brokers, async processing - Microservices and service boundaries - Load balancing, CDNs, and request lifecycle - Ability to design end-to-end systems, not just isolated services - Backend Foundations - Strong fundamentals in: - APIs, services, and system architecture - OOP and clean design principles - Node.js / TypeScript knowledge - Product & Business Thinking - Understands why something should be built, not just how - Makes pragmatic decisions (80/20 mindset) aligned with business impact - Avoids over-engineering - Technical Leadership Through Influence - Leads through clarity, reasoning, and trust, not authority - Can drive alignment across engineers and stakeholders - Delegates effectively and scales impact through others - Working knowledge of frontend (React): - Understands performance implications and integration points - Strong communication: - Explains technical trade-offs clearly to both engineers and non-technical stakeholders Requirements - Finds the right problems - Prioritizes them based on business impact - Designs solutions and drives execution through the team Benefits - Stock grant opportunities dependent on your role, employment status and location - Additional perks and benefits based on your employment status and country - The flexibility of remote work, including optional WeWork access

Role Description The Software Engineering Apprentice will support the configuration, optimization, and maintenance of a low-code/no-code platform used to build and enhance applications that support Allied operations. This role provides hands-on experience in platform engineering, automation, and business process improvement within a highly regulated healthcare environment. Essential Functions - Engage directly with business owners/users to understand their business needs and requirements related to low code/no code solutions. - Leverage low-code/no-code platforms to design and develop solutions that meet business needs. - Work closely with users, product team, and technical lead to build, maintain, enhance, test, and deploy solutions on the low-code/no-code platform. - Continuously explore new features and updates in the platform, maintaining a deep understanding of how the product can be leveraged to meet evolving user needs. - Other duties as assigned. Qualifications - Recent graduate with a bachelor’s degree in Computer Science, Information Technology, or related discipline. - Go-Getter attitude with strong initiative to learn, adapt, and get things done with a results-oriented approach. - Problem solving mindset: Ability to tackle complex challenges, think creatively, and provide practical solutions in collaboration with clients and teams. - Ability to interact with diverse stakeholders (clients, teams, management) and explain technical concepts in a clear, understandable manner. - Open minded and willing to explore new tools and technologies to solve client problems and enhance solutions. Position Competencies - Accountability - Communication - Customer Service Orientation - Functional/Technical Skills - Quality Focus - Time and Task Management Physical Demands - This is a standard desk role requiring extended sitting and computer work. Work Environment - Remote Benefits - Medical, Dental, Vision, Life and Disability Insurance - Generous Paid Time Off - Tuition Reimbursement - EAP - Technology Stipend