NUVIEW

Role Description The Senior Principal Level MSP Engineer is a hands-on technical leader responsible for delivering secure, compliant, and reliable IT services to NuView clients. This role operates at the Tier 3 / escalation level, supporting complex environments, mentoring engineers, and ensuring consistent execution of NuView’s technical standards. This position is delivery-focused, not managerial. The Senior Systems Engineer plays a critical role in solution execution, technical quality, client trust, and platform consistency, especially in regulated and security-sensitive environments. Key Responsibilities - Technical Delivery & Escalation Support - Serve as a senior escalation point for complex infrastructure, cloud, security, and compliance-related issues. - Design, implement, and support secure IT environments across Microsoft 365, Azure, endpoint, network, and security platforms. - Lead remediation and recovery efforts during incidents, outages, or security events. - Security & Compliance Execution - Implement and maintain controls aligned with frameworks such as HIPAA, NIST 800-171, CMMC, PCI-DSS, and SOC 2 (as applicable to client environments). - Support vulnerability remediation, hardening, MFA deployment, backup validation, and incident response activities. - Work closely with security leadership and vCISO resources to execute compliance-driven technical requirements. - Solution Implementation & Projects - Deliver client projects including migrations, security enhancements, cloud deployments, and infrastructure upgrades. - Ensure projects are executed according to NuView standards, timelines, and documentation requirements. - Participate in pre-project technical discovery and post-project validation. - HaloPSA & Operational Discipline - Maintain exemplary ticket hygiene and documentation within HaloPSA. - Accurately log time, work performed, configuration changes, and outcomes for all tickets and projects. - Adhere to “no ticket, no work” standards and support continuous process improvement. - Platform Standardization & Knowledge Sharing - Contribute to standardized configurations, runbooks, SOPs, and internal documentation. - Identify recurring issues or inefficiencies and propose improvements to tooling or processes. - Mentor junior engineers on technical execution, documentation, and client interaction best practices. - Client Trust & Professionalism - Act as a trusted technical advisor to clients during escalations, projects, and security-related discussions. - Communicate clearly, professionally, and calmly — especially in high-pressure situations. - Represent NuView’s security-first mindset and commitment to excellence in every engagement. Qualifications - 7+ years of experience in IT infrastructure, systems engineering, or MSP/MSSP environments. - Proven experience supporting security-conscious or regulated clients. - Strong technical background in: - Microsoft 365 & Azure - Windows Server & Active Directory - Networking (firewalls, switches, VPNs) - Endpoint security, backup, and recovery - Experience working within a PSA-driven service organization strongly preferred. - Ability to balance speed, security, and quality in client-facing environments. Requirements - Bachelor’s degree in information technology or related field (or equivalent experience). - Relevant certifications such as: - Microsoft (Azure / M365) - Security+ / CISSP / CISM (or progress toward) - Vendor certifications relevant to NuView’s stack. Benefits - Excellent Benefits (including medical, dental, vision, life insurance, HSA/FSA). - 401(k) plan with matching company contribution. - Vacation/ Paid Time Off / Company Holidays/Sick Leave / Floating Holiday. - Professional Development Programs. - Employee Referral Programs. - Corporate-Branded Swag & MORE.

About NuView Analytics At NuView Analytics, we help companies accelerate the time to insights from their data. We do this in three ways: data analytics, data diligence, and fractional data science. Our clients are growth-stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship, we help companies gain a new perspective on their business through their data. The Role We're looking for a Data Engineer to join our growing team and help clients build scalable, reliable data infrastructure. You'll work across the modern data stack, designing pipelines, architecting warehouses, and enabling the analytical layer that our clients depend on. This is a high-impact, client-facing role that combines deep technical execution with strategic thinking. Responsibilities - Design, build, and maintain scalable data pipelines for clients across industries - Architect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platforms - Lead data integration projects from source system to analytical layer, including scoping, delivery, and handoff - Work fluidly across a range of modern data tools and platforms as client engagements demand, picking up new technologies quickly and applying best practices regardless of the toolset - Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled - Champion data quality, testing, and observability best practices across client engagements - Produce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-term - Document engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team members - Research and evaluate new technologies and advocate for tooling investments that benefit the firm - Train and mentor junior team members on engineering standards, pipeline design, and best practices - Participate in client-facing communication, including requirements gathering and progress updates - Flex support when capacity allows: contribute to analyst-side deliverables such as Power BI dashboard development, ad-hoc reporting, or data visualization. We're a lean team and value versatility Projects Include - ETL/ELT pipeline development and optimization - Data warehouse modeling (dimensional, medallion/lakehouse architectures) - Data integration across client systems such as CRM, ERP, marketing, and operational systems - Infrastructure setup across the modern data stack (ingestion, transformation, orchestration) - Implementations across platforms such as Microsoft Fabric, Databricks, and Snowflake, meeting clients where they are - Data modeling and deployment across medallion architecture layers (bronze, silver, gold) - Data quality frameworks and automated pipeline testing - Cloud infrastructure provisioning and cost optimization (Azure, AWS, GCP) - Technical documentation projects including data dictionaries, ER diagrams, lineage documentation, and metrics catalogs - Power BI semantic model development and dashboard support when business needs require it Qualifications - Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field - 2–5+ years of relevant data engineering or software engineering experience - SQL Expert: complex query authoring, query optimization, stored procedures - Python Required: pipeline scripting, automation, data processing - Transformation Tools: dbt required; Spark experience a plus - Ingestion Tools: Fivetran, Airbyte, Rivery, Microsoft Fabric Data Factory, or similar - Orchestration: Airflow, Prefect, Azure Data Factory, Microsoft Fabric, or equivalent - Cloud Platforms: Azure (preferred), AWS, or GCP experience - Data Warehouses: Snowflake, BigQuery, Redshift, Microsoft Fabric, Azure Synapse, or equivalent - Version Control: Git required; branching strategies, pull requests, and code review workflows - Strong communication skills with the ability to translate technical concepts for non-technical stakeholders - Self-starter who thrives in a remote environment and can manage multiple client workstreams - Player-coach mindset: capable of leading projects while growing junior teammates - Intellectually curious about evolving data tooling, architecture patterns, and AI-augmented engineering NuView Analytics is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.

About Us NuView Analytics is a fast-growing consulting firm specializing in data management, analytics, and insights. Our mission is to accelerate insights for our clients, helping them unlock the full potential of their data. We combine technical expertise with agile delivery methods to drive measurable results for our clients across various industries. Job Overview We are seeking a Technical Project Manager with a proven track record in managing data management and analytics projects. The ideal candidate will have deep experience in agile practices and a strong technical foundation in data integration, data warehousing, and visualization tools. This role will work closely with cross-functional teams, including data engineers, analysts, and client stakeholders, to ensure successful project delivery. Key Responsibilities - Project Planning and Execution: Define project scope, deliverables, and timelines for data-focused initiatives, ensuring alignment with client objectives. - Agile Practices: Lead sprint planning, daily stand-ups, and retrospectives, fostering an iterative, transparent, and collaborative environment. - Team Coordination: Collaborate with internal teams (data engineers, analysts, and developers) and client stakeholders to manage expectations and deliverables. - Risk Management: Identify, track, and mitigate risks to ensure project success and high-quality outcomes. - Technical Oversight: Understand and provide input on data pipelines, data modeling, ETL processes, and business intelligence reporting tools. - Stakeholder Communication: Regularly update clients and internal leadership on project status, challenges, and accomplishments. - Process Improvement: Continuously enhance delivery practices, incorporating lessons learned and industry best practices. Required Qualifications - Bachelor’s degree in Computer Science, Information Systems, Business, or a related field (or equivalent experience). - 5+ years of project management experience in data management, data analytics, or software development projects. - Strong understanding of data management concepts, including data integration, data warehousing, and data visualization. - Proficiency in agile project management methodologies (e.g., Scrum, Kanban). - Hands-on experience with tools such as Jira, Confluence, or similar project management platforms. - Familiarity with technical tools such as Snowflake, DBT, Power BI, or similar. - Excellent communication, organizational, and problem-solving skills. Preferred Qualifications - Agile certification (e.g., Certified ScrumMaster, PMI-ACP, or SAFe). - Experience working in consulting or client-facing roles. - Technical background in ETL tools, data modeling, or SQL development. - Familiarity with hybrid project management approaches that blend agile with milestone-based phases. What We Offer - A dynamic and collaborative work environment. - Opportunities for professional growth and development. - Competitive salary and benefits package. - Medical, Vision, Dental Benefits - 401K