60 jobs found

Job Description Job Description Description: Central Conveyor Company, a member of the Tsubaki Group, is a turn-key Systems Integrator with a complete portfolio of conveyance solutions and products for the Automotive, Parcel & Logistics, and Warehouse & Distribution markets. The Systems Administrator will provide hardware and software technical support. Responsibilities will include interfacing with the customer to track, record, and document help desk requests and issues. Essential Duties and Responsibilities: The essential duties and responsibilities of this job are included but not limited to this job description - other tasks may be assigned and expected to be performed. Support users with desktops, laptops, mobile devices, printers, Microsoft 365, Autodesk products, and other business applications. Install, configure, maintain, and troubleshoot Windows workstations, servers, hardware, and software. Install, configure, license, update, and troubleshoot Autodesk applications and CAD/engineering workstations, coordinating with engineering users and vendors as necessary. Administer Active Directory, Microsoft Entra ID, Microsoft 365, VMware, network equipment, wireless infrastructure, and firewalls. Manage user accounts, security groups, permissions, Multi-Factor Authentication (MFA), and access controls. Maintain endpoint security controls, including EDR/antivirus, BitLocker encryption, host firewalls, security policies, and device controls. Perform operating system and application patching, vulnerability remediation, firmware updates, and security configuration management. Investigate and respond to phishing, malware, compromised accounts, unauthorized software, and other cybersecurity incidents. Support vulnerability management, security assessments, access reviews, audit requirements, and compliance documentation. Maintain and test backup, disaster recovery, and business continuity systems. Support VPN, firewall, network segmentation, wireless, and secure remote-access technologies. Support employee onboarding and offboarding, including account provisioning, computer setup, access removal, and equipment recovery. Maintain hardware/software inventories, system documentation, security records, and technical procedures. Monitor Help Desk requests and escalate issues in accordance with established procedures and Service Level Agreements (SLAs). Coordinate with employees, engineering teams, vendors, and other IT resources to resolve technical issues and support technology initiatives. Perform backup, restore, and disaster recovery operations using Cohesity. Deploy, maintain, and troubleshoot Trimble/Accubid software solutions. Create and maintain technical documentation, procedures, and knowledge base articles. Assist with I/T project planning, coordination, and implementation. Deploy, maintain, and troubleshoot GainSeeker Pro software. Develop and maintain PowerShell scripts to automate administrative tasks. Experience with Microsoft Visual Studio 2022 and application development is preferred. Provide after-hours and remote-site support as required. Some travel required Support remote sites Troy, Sandusky, AL, MO, and TN locations Requirements: Minimum of six (6) years' work experience as a Systems Administrator. Bachelor's Degree in an IT or related field Advanced PC/laptop software knowledge and skills, including installation, configuration, troubleshooting and fighting viruses/malware. Demonstrated analytical ability to solve problems. Broad base of technical skills to clearly diagnose and solve problems relating to hardware and software issues. Acts positively upon constructive criticism and coaching. Work independently and in a group across all levels of the organization. Handles confidential information discreetly. Highly detail oriented. Effective interpersonal skills for interaction with all levels of staff, clients, vendors and consultants. Strong communication skills (both oral and written) and demonstrated ability to work as a team player. Detail-oriented, self-motivated and able to quickly adjust priorities and the ability to handle multiple tasks at the same time. Conducts self professionally & ethically. Remains calm under pressure. Places a high emphasis on excellent customer service. Fosters and supports a teamwork environment. Proficient knowledge of VMware Enterprise features Proficient knowledge of Microsoft software including Windows Server, Office 365, SQL, MS RDS, SCCM, AD Knowledge of Rapid 7 SEIM Knowledge of CrowdStrike MDR Knowledge of Delinea Secret server Autodesk Proficient knowledge of networking and enterprise-wide printing. Linux system administration experience a plus Compliance Monitoring tool exposure Varonis DatAdvantage preferred Learn more about U.S. Tsubaki at: U.S. Tsubaki offers a competitive compensation and benefits package, including health benefits effective on date of hire, dental and vision benefits effective on the first of the month following date of hire, Paid Time Off ("PTO"), 10 paid holidays, generous 401(k) match and profit sharing, annual bonus potential, life insurance, short and long-term disability, flexible spending accounts, commuter benefits, education reimbursement, home and auto insurance discounts, and pet insurance. The estimated salary range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on location, skills and expertise, experience, and other relevant factors. Applicants must be authorized to work for any employer in the United States. Tsubaki does not sponsor or take over sponsorship of employment visas. Tsubaki is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability PM21 PIec3dfafa5-

Job Description Overview: We are seeking an elite, systems-thinking Technical Product Owner to orchestrate the lifecycle, scaling, and architectural evolution of our core Enterprise Platform. This is not a front-end or basic UI workflow role. You will own the core backend engine-the secure, unified, and highly optimized bedrock that enables hundreds of internal engineering, analytics, and business units to build and deploy mission-critical capabilities safely. You will sit at the intersection of enterprise cloud infrastructure, APIs, data platforms, and rigorous regulatory compliance, transforming complex technical requirements into robust, scalable platform services. Key Responsibilities Enterprise Platform & API Roadmap Own and execute the core backend platform roadmap, backlog, prioritization matrix, and enterprise release plans. Scale foundational platform services, including enterprise data pipelines, shared microservices, API gateways, and system integrations. Treat internal developers and platform consumers as your primary customers by delivering reliable internal APIs, SDKs, and clear architectural documentation. "Paved Road" Governance, Security & Compliance Partner closely with Cybersecurity, Legal, and Compliance teams to enforce strict security and data-privacy guardrails across the platform. Bake programmatic guardrails into backend services for PII/PHI data masking, role-based access control (RBAC/IAM), data lineage, and auditability. Translate complex healthcare compliance frameworks (e.g., HIPAA, HITRUST, SOC 2) directly into automated backend platform features. Platform Reliability, Performance & Unit Economics Optimize cloud infrastructure footprints, API latency, and platform operating costs without sacrificing system performance or availability. Ruthlessly balance new platform feature delivery with infrastructure scalability, technical debt reduction, and system reliability. Agile Dependency & Stakeholder Orchestration Deconstruct complex architectural initiatives into crisp technical epics, user stories, and quantitative acceptance criteria. Lead Scrum/Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, and cross-team dependency mapping across multiple engineering squads. Communicate roadmap progress, architectural risks, and delivery status clearly to both Principal Architects and executive business stakeholders. Required Qualifications Experience: 5+ years of explicit experience driving technical product ownership, technical product management, or platform management within a large-scale enterprise environment. Domain Expertise: Proven track record delivering backend infrastructure components, enterprise data platforms (e.g., Snowflake, Databricks, cloud data warehouses), or highly distributed API/microservices systems. Regulated Industry DNA: Direct experience navigating the data complexities and strict security architectures of highly regulated ecosystems (Healthcare, HealthTech, Health Insurance, or comparable regulated enterprises). Technical Literacy: Ability to challenge architectural decisions, review API contracts and data models, and speak the native language of Principal Architects and backend engineers. Compliance Awareness: Strong familiarity with data governance frameworks and security compliance standards (e.g., HIPAA, HITRUST, SOC 2, PII/PHI protection). Agile Rigor: Mastery of Scrum/SAFe frameworks at scale, with deep proficiency using Jira and Confluence to manage complex cross-team dependencies. Preferred Qualifications (Nice to Have) AI-Enabled Capabilities: Exposure to integrating or governing enterprise AI tools, intelligent automation, or AI-assisted product workflows.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details

Hiring: Data Engineer Experience: 5-6 Years Job Type: Full-Time Work Location: Remote / Hybrid / Onsite Interview Mode: Webcam / Technical Interview Job Summary: We are looking for an experienced Data Engineer with 5-6 years of hands-on experience in designing, developing, and maintaining scalable data pipelines and data integration solutions. The ideal candidate should have strong expertise in SQL, Python, ETL/ELT, Apache Spark/PySpark, and cloud platforms (AWS, Azure, or GCP). The candidate should have experience working with large datasets, data warehouses, data lakes, and modern data engineering technologies.

Genesis10 is currently seeking a Principal Data Lead for a remote or hybrid position with a Financial Services Consulting Firm located in Scottsdale, AZ or Raleigh, NC. This is a contract-to-hire opportunity. Compensation: $150.00 - $160.00 per hour, W2, based on qualifications Position Overview: This is a hands-on Lead Solutions Architect role for a candidate who designs, builds, and leads. As a working architect, you will spend a significant share of your time in the platforms themselves, configuring and extending Dynamics 365 Project Operations and Finance & Operations, modeling data in Dataverse and the Enterprise Data Warehouse, writing and reviewing transformation code, and tuning Power BI semantic models. You will lead a team of developers, data engineers, and analysts, setting the technical direction and owning design standards. Key Responsibilities: Serve as the lead technical architect for Dynamics 365 Project Operations, Finance & Operations and Dataverse, owning the end-to-end solution design Personally design and build data models, entities, integrations, workflows and extensions, and resolve complex configuration, performance and data issues Design and implement integrations between Dynamics 365, the Data Warehouse and other enterprise systems using Dataverse, Azure Data Factory, Fabric pipelines, APIs and the Power Platform Review and approve customizations, extensions and ALM practices (solution layering, source control, environment strategy and deployment pipelines) Translate business processes in finance, project delivery and operations into sound, maintainable system designs Own the architecture of the Enterprise Data Warehouse and Microsoft Fabric environment, including lakehouse and warehouse layers, dimensional models and data marts Build and review ingestion and transformation pipelines, SQL, notebooks and stored procedures Design dimensional and semantic models (facts, dimensions, conformed dimensions, slowly changing dimensions) that serve Power BI and AI workloads consistently Architect Power BI semantic models, dataflows, row-level security and deployment pipelines, and set performance and reuse standards for reports and dashboards Establish and maintain end-to-end data lineage from source systems through to Power BI reports and AI models Define, document and enforce design standards including naming conventions, modeling patterns, and coding standards Lead, hire, coach and develop a team of Dynamics developers, data engineers and BI developers Design the data foundations that AI and machine learning solutions depend on, ensuring governed, well-lineaged and high-quality data feeds Primary Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering or a related field 8+ years of hands-on experience in solution, data or analytics architecture, including recent, direct build experience (not solely oversight) Deep hands-on experience with Dynamics 365 Finance & Operations and/or Project Operations, Dataverse and the Power Platform Strong hands-on expertise in data warehouse design and engineering: dimensional modeling, SQL, ETL/ELT pipelines, and Microsoft Fabric or Azure Synapse/SQL Demonstrated experience implementing and maintaining data lineage, metadata management and source-to-target documentation Proven track record of defining and enforcing design and coding standards through design reviews and code reviews 3+ years of experience directly managing technical staff, including hiring, coaching and performance management Advanced Power BI skills, including semantic modeling, DAX, row-level security and deployment pipelines Desired Skills: Microsoft certifications such as Dynamics 365 Finance and Operations Apps Solution Architect Expert, Fabric Analytics Engineer Associate or Azure Data Engineer Associate Experience with Microsoft Purview or other data catalog and lineage tools Experience in a professional services or project-based business Exposure to AI and machine learning data pipelines and responsible AI governance Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Title: Lead Data Engineer - Advanced Location: Columbus, OH Duration: Contract to hire, 6+ months Pay Range: $75.00/hr - $82.00/hr (W2) About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Lead Data Engineer to join our team. The ideal candidate will have strong experience in Java, Python, AWS, Apache Spark, and large-scale ETL/ELT data engineering and a proven ability to design and deliver high-quality data platforms, optimize performance, and lead AI-assisted engineering adoption. Responsibilities: Execute creative software solutions, including design, development, and technical troubleshooting for complex data challenges. Drive team adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards including secure coding, peer review, and automated testing. Apply SDLC toolchain and automation, including AI-assisted development capabilities, to increase delivery value. Lead architecture and hands-on delivery of large-scale ETL/ELT pipelines across ingestion, transformation, validation, reconciliation, and publishing. Design and operationalize data lake patterns including partitioning, data quality controls, lineage, governance, and reusable datasets. Build and optimize distributed processing workloads using Apache Spark and modern formats such as Parquet and Avro. Drive performance tuning across compute and storage, including Spark tuning for shuffle, joins, caching, and skew handling. Implement engineering best practices including code quality, automated testing, CI/CD, observability, security-by-design, and operational readiness. Build and maintain Java-based services supporting data workflows, including ingestion services, orchestration helpers, APIs, and data access layers. Develop REST APIs and integration components to enable downstream consumption and platform interoperability. Apply modern application practices including clean architecture, SOLID principles, test automation, and secure coding. Required Skills & Qualifications: Formal training or certification in software engineering and 5+ years of applied experience. 10+ years of software engineering experience with depth in data engineering and big data platforms. Strong hands-on development experience in Java and proficiency in Python. Proven experience designing and building robust ETL/ELT pipelines and data integration frameworks. Strong experience with Apache Spark, distributed processing concepts, and performance tuning. Knowledge of data storage serialization and formats such as Parquet and Avro. Solid understanding of data lake and lakehouse concepts, including data quality, metadata, and governance. Experience with cloud data warehouses such as Snowflake or equivalent. Demonstrated experience leading responsible use of AI-assisted development tools and setting validation standards for correctness, performance, and security. Ability to lead technical discussions, communicate across stakeholders, and drive delivery in cross-functional environments. Preferred Skills: Experience with orchestration and workflow scheduling tools such as Airflow, Dagster, or Control-M. Exposure to streaming and event-driven processing, including Kafka and Spark Structured Streaming, and incremental processing patterns such as CDC and upserts. Experience with table formats and ACID layers such as Delta Lake, Apache Iceberg, Hudi. Strong production operations mindset covering on-call, SLAs/SLOs, observability, and incident response. Experience in regulated environments including risk, audit, compliance, privacy, and PII handling. Experience with cost optimization and FinOps practices for data platforms. Experience working with Agentic AI and Gen AI solutions and capabilities. Must Have Summary: Python and Java. ETL pipeline design and development. AWS. AI tool experience in engineering workflows. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more. Basic Qualifications: 5+ years of experience in data analytics, data engineering, or business intelligence Expert-level SQL proficiency - complex joins, window functions, CTEs, subqueries, query optimization, and performance tuning in Client Redshift or similar MPP databases Demonstrated experience conducting RCA, implementing fixes, and building enhancements on data pipelines, reports, and analytics systems Proven ability to convert business requirements into technical data solutions - pipeline logic, SQL transformations, report builds, and data model changes Deep experience creating dashboards, reports, analyses, and datasets using BI tools - Client QuickSight strongly preferred; Tableau, Power BI, or similar also acceptable Proven ability to work with business stakeholders to define metrics and KPIs, and drive the build of reporting solutions Strong understanding of data integration and ETL/ELT concepts - extraction patterns, transformation logic, load strategies, incremental vs. full refresh, CDC, and pipeline architecture Deep knowledge of data warehouse and data mart design - star schema, snowflake schema, fact/dimension tables, slowly changing dimensions, and aggregation layers Hands-on experience with Apache Airflow - ability to read DAG code, understand task dependencies, troubleshoot failures, and drive fixes with engineering teams Strong Python programming skills (pandas, boto3, SQL libraries, automation scripting) Working knowledge of AWS cloud services (Redshift, S3, Glue, Athena, Lambda) Track record of collaborating with engineering teams to drive data requirements and solution design. V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.

Job Description Senior Software Engineer Fort Meade, MD, US - Senior Level - Full-time Estimated Salary: The estimated salary range for this position is between $187,000 and $243,000 DOE About our client: Our client delivers high quality solutions and services to IC, DoD, Federal, and commercial customers. Their security, software, and systems engineers and architects work at the forefront of national challenges, solving some of the most complex problems in cyber analytics and data science. Our Client's Values Professionalism and a mission centric mindset are core to how they operate, shaping both their work and the way they conduct themselves. They take pride in fostering a culture of learning, growth, and excellence - for their employees, their partners, and the customers they serve. Description We are a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team. As a Software Engineer, you will be responsible for designing, developing, and implementing complex software capabilities for computer-based systems. Will work closely with other talented engineers to create software solutions that meet the needs of our clients. In this role, you will have the opportunity to work with modern tools and technologies, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality software solutions to our clients. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about developing innovative software solutions, we would love to hear from you. Requirements Essential Job Responsibilities Must have a strong working knowledge and experience developing Java based software capabilities. Should have an inquisitive nature, responsiveness, and excellent testing skills. Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Keep up-to-date with emerging trends and technologies in software development. Experience with Next-Gen Coding Agents: Proven track record of integrating advanced AI agents, specifically Claude Code or Google's Antigravity / Gemini agentic workflows, into your daily software engineering routine. Agentic Feature & Test Development: Experience using autonomous agents to handle multi-file feature implementations, complex codebase refactoring, and the automated generation of robust unit/integration tests. Context & Workflow Management: Ability to guide AI agents through complex, multi-repository application architectures, managing context efficiently and critically auditing agent-generated code for security, performance, and architectural alignment. Seamlessly transition between hands-on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact. Will work in a fast-paced, small business environment with our talented team. Additional duties as assigned. Minimum Qualifications Clearance Requirement: Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required. 9 years experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) Bachelors in related field; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience. Experience in designing enterprise APIs. Experience in RESTful web services. Experience in Microservices architecture. Experience in Object Oriented Programming (OOP) paradigms. Experience with the agile software lifecycle. Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams. Has a proven ability to learn quickly and works well both independently as well as in a team setting. Experience with the Linux operating system. Experience with configuration management tools (e.g. Git, Nexus, Maven). Must be able to work in a hybrid environment, spending an average of 1-2 days per week on customer site in Fort Meade, MD. Will also be visits to our headquarters in Columbia, MD. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Current Clearances: Active Secret clearance is a strong plus. Next-Gen Coding Agents: Proven use of AI tools (Claude Code, Gemini) in daily engineering workflows. Agentic Feature Delivery: Using autonomous agents for multi-file implementation, refactoring, and automated testing. Experience in cloud based technologies (AWS, Azure) Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus. Prior experience or familiarity with Data Lakes or Warehouses is a huge plus. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.) Compensation Our client is building a team of like minded individuals who aren't afraid to work hard and support one another to achieve exceptional results. Fostering an environment where high calibre employees can shine means offering meaningful benefits and support both in the office and beyond. The benefits include health insurance, life insurance, disability insurance, financial and retirement plans, paid leave, professional development, tuition assistance, and dependent care. Salary varies based on location, education, skills, experience, as well as contract-specific affordability. The estimated salary range for this position is between $187,000 and $243,000. This estimate is one part of our client's overall compensation package.

Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description Agility Robotics is at the forefront of developing humanoid robots designed to operate in real-world environments. Our mission is to build robots that seamlessly integrate into human workflows, solving complex challenges in logistics, manufacturing, and beyond. As we scale our manufacturing and deployments, we are building the validation infrastructure that ensures every robot that reaches a customer site is one we can stand behind. The Senior Test Operations Manager role is a critical role in making that happen. About the Role As a Senior Test Operations Manager at Agility Robotics, you will own the operational heartbeat of our robot validation program. This is not a role for someone who waits for test plans to arrive - it is for someone who sees an idle robot and immediately asks why it is not running, who finds problems that no one else is looking for, and who treats every test result as data that should improve the product. You will be responsible for maximizing robot fleet uptime, designing and driving endurance and validation testing, and serving as the strategic conduit between Commercial, Software, and Systems Engineering teams to continuously evolve our test strategy. Your work will directly influence the quality and reliability of Digit in customer warehouses. About the Work Fleet Uptime and Test Operations Own end-to-end robot uptime across the validation fleet - define uptime targets, track actuals, and drive rapid recovery when robots are out of commission Build and maintain a structured fleet management system (scheduling, status tracking, maintenance windows) to ensure robots are always available for the right test at the right time Establish and enforce first-line triage protocols so that every robot issue is diagnosed, classified (hardware vs. software vs. environment), and routed to the right engineering team with clear, evidence-backed Jira tickets Develop and maintain preventative maintenance schedules in partnership with hardware engineering and repair technicians to reduce unplanned downtime Longevity and Validation Testing Design, build, and continuously evolve longevity test programs - multi-robot, multi-mission, extended-duration test campaigns that mirror real customer deployment conditions, not sanitized lab scenarios Move the fleet beyond functional smoke tests toward scenario-based, customer-representative validation: object avoidance in cluttered environments, human co-presence, payload variation, stair and terrain diversity, thermal stress, and extended uptime cycles Define test success criteria and acceptance thresholds collaboratively with Systems Engineering. Run release validation cycles - execute a comprehensive battery of tests before any major software or hardware release reaches customers, and hold the go/no-go authority on test completion Track issues by release label so that regressions are visible, persistent failures are escalated, and the history of what was found when is always available Reporting and Metrics Publish weekly leadership reports covering: robot fleet uptime, tests executed, pass/fail rates by release, open issues by severity, and trends across longevity runs Define and own the metrics that matter - intervention rates, mission success rates, MTBI (mean time between interventions), and issue escape rates - and flag when metrics are misleading or need to be retired Build dashboards that give engineering and product leadership real-time visibility into validation health and release readiness Testability and Debuggability Improvement Partner with SW engineering to improve log structure, telemetry accessibility, and diagnostic tooling so that any member of the team can triage a robot failure - not just the person who built the logging system Champion the creation and maintenance of robot diagnostic runbooks: if-then decision trees that route failures to the right owner with the right supporting evidence Provide structured, data-driven input to SW and HW teams on user experience friction - what is operationally hard, what breaks under real-world conditions, what customers will notice before engineers do Create and maintain reusable test protocols, onboarding guides, and operational playbooks so that institutional knowledge scales with the team About You Experience 5+ years of hands-on experience in test operations, system validation, or field operations for complex electromechanical or robotic systems Demonstrated experience managing and sustaining a fleet of hardware-software integrated systems - robots, autonomous vehicles, or comparable platforms - in an operational test environment Previous experience in high-growth, fast-paced environments where self-direction and bias for action are essential Strong instincts for customer-representative testing: designing scenarios that reflect real deployment conditions, not idealized lab conditions Proficiency with log analysis and telemetry tools; ability to correlate hardware, software, and sensor data to identify root cause Experience with structured issue management (Jira or equivalent) including release labeling, triage workflows, and escalation protocols Familiarity with reliability engineering concepts: MTBI, intervention rate analysis, wear pattern identification in integrated mechanical systems Why Join Agility Robotics? Play a key role in ensuring that humanoid robots deployed at customer sites are safe, reliable, and ready - not just functional in a lab Work in a fast-moving, highly collaborative environment where your findings directly shape engineering decisions and product quality Be part of cutting-edge development at the intersection of hardware, software, and AI at a pivotal moment in the industry Competitive salary, equity, and benefits package Location This is an onsite position based out of our Pittsburgh, PA office with some travel to Salem, OR during onboarding/ramp up The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future. Anticipated Base Salary Range $136,000 - $176,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Job Description Staff Data Engineer Location: Scottsdale, AZ Monday-Thursday onsite, Friday remote We're partnering with a hospitality technology company to find a Staff Data Engineer to help build and improve a cloud-based data platform supporting thousands of hotel properties. The platform handles reservation, guest, rate, and operational data used across the business. This is a hands-on technical leadership role for someone who enjoys building data systems while helping shape the architecture behind them. You'll work across multiple initiatives, guide technical decisions, and mentor senior engineers. This position has no direct reports. What you'll do: Design, build, and improve data pipelines and distributed processing solutions using AWS, Apache Spark, Python, and SQL. Help define the platform's architecture, engineering standards, and technical direction. Improve scalability, performance, reliability, and monitoring across data systems. Partner with engineering teams and business stakeholders to translate requirements into practical technical solutions. Mentor senior engineers through design discussions, code reviews, and hands-on problem solving. Support automated testing, CI/CD, and infrastructure as code practices. What we're looking for: 8+ years of relevant data engineering experience. Strong hands-on expertise with AWS, Apache Spark, Python, and SQL. Experience designing cloud data platforms, distributed systems, and data warehouse solutions. A track record of owning complex technical projects and guiding architecture decisions across teams. Experience improving production systems through monitoring, troubleshooting, and performance optimization. Strong communication skills and the ability to explain technical decisions to different audiences. Experience with generative AI is a plus. Candidates must be authorized to work in the U.S. without sponsorship.

Job Description Role : Data & Solution Architect Location: Fort Collins (Colorado) Onsite Contract Position . Must : Minimum 6 years in data/platform engineering or solution design, including at least 3 years in architecture responsibilities Education : Bachelor's degree in Computer Science, Information Systems, Software Engineering, Information Technology, or related engineering discipline. A master's degree is preferred but not essential. Technical Required Info Snowflake: practical architecture knowledge of warehouses, data layers, secure sharing, transformations, access patterns and performance fundamentals. SQL and data modeling: strong SQL literacy; relational and analytical models; dimensional design, data contracts and enterprise entity models. Data integration: ETL/ELT, batch processing, REST APIs, JSON, orchestration, CDC concepts and event-driven integration patterns. Cloud solution architecture: security boundaries, IAM/access controls, encryption, monitoring, resilience, cost/performance trade-offs and integration with enterprise applications. Enterprise information architecture: master data/identity, catalog, metadata, data quality, lineage, source provenance, permissions and retention. BI and data products: Tableau or equivalent consumption/semantic -layer architecture, certified metrics, data products, trusted services and interoperability. Architecture deliverables: C4/solution context diagrams or equivalent, sequence/data-flow diagrams, design decision records and nonfunctional requirements. Key responsibilities Assess the existing Snowflake-centered data platform, ingestion and transformation paths, customer/partner identity, data products, operational interfaces and reporting consumption. Document current-state architecture and target-state options with context diagrams, source-to-consumption flows, integration inventory, nonfunctional requirements and interface contracts. Evaluate source-faithful acquisition, raw/curated layer separation, data classification, permitted-use metadata, data governance, lineage and retention requirements. Evaluate customer/entity resolution, master data patterns, cross-system identifiers, match confidence and controlled exception management. Assess batch versus event-driven integration, APIs, orchestration, observability, error handling, reconciliation, availability and recovery requirements. Identify dependencies and reusable services for partner activation, customer value, enterprise intelligence and governed AI applications. Coordinate architecture review with onsite Data Architect, security and business stakeholders; document trade-offs, ownership and decisions. Guide feasibility and effort considerations for execution plans without assuming that a specific new platform or vendor must be purchased. Thank you, Bharath M Account Manager Astir IT Solutions, Inc - An E-Verified Company Email: Direct : 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080

Description: Central Conveyor Company, a member of the Tsubaki Group, is a turn-key Systems Integrator with a complete portfolio of conveyance solutions and products for the Automotive, Parcel & Logistics, and Warehouse & Distribution markets. The Systems Administrator will provide hardware and software technical support. Responsibilities will include interfacing with the customer to track, record, and document help desk requests and issues. Essential Duties and Responsibilities: The essential duties and responsibilities of this job are included but not limited to this job description - other tasks may be assigned and expected to be performed. Support users with desktops, laptops, mobile devices, printers, Microsoft 365, Autodesk products, and other business applications. Install, configure, maintain, and troubleshoot Windows workstations, servers, hardware, and software. Install, configure, license, update, and troubleshoot Autodesk applications and CAD/engineering workstations, coordinating with engineering users and vendors as necessary. Administer Active Directory, Microsoft Entra ID, Microsoft 365, VMware, network equipment, wireless infrastructure, and firewalls. Manage user accounts, security groups, permissions, Multi-Factor Authentication (MFA), and access controls. Maintain endpoint security controls, including EDR/antivirus, BitLocker encryption, host firewalls, security policies, and device controls. Perform operating system and application patching, vulnerability remediation, firmware updates, and security configuration management. Investigate and respond to phishing, malware, compromised accounts, unauthorized software, and other cybersecurity incidents. Support vulnerability management, security assessments, access reviews, audit requirements, and compliance documentation. Maintain and test backup, disaster recovery, and business continuity systems. Support VPN, firewall, network segmentation, wireless, and secure remote-access technologies. Support employee onboarding and offboarding, including account provisioning, computer setup, access removal, and equipment recovery. Maintain hardware/software inventories, system documentation, security records, and technical procedures. Monitor Help Desk requests and escalate issues in accordance with established procedures and Service Level Agreements (SLAs). Coordinate with employees, engineering teams, vendors, and other IT resources to resolve technical issues and support technology initiatives. Perform backup, restore, and disaster recovery operations using Cohesity. Deploy, maintain, and troubleshoot Trimble/Accubid software solutions. Create and maintain technical documentation, procedures, and knowledge base articles. Assist with I/T project planning, coordination, and implementation. Deploy, maintain, and troubleshoot GainSeeker Pro software. Develop and maintain PowerShell scripts to automate administrative tasks. Experience with Microsoft Visual Studio 2022 and application development is preferred. Provide after-hours and remote-site support as required. Some travel required Support remote sites Troy, Sandusky, AL, MO, and TN locations Requirements: Minimum of six (6) years' work experience as a Systems Administrator. Bachelor's Degree in an IT or related field Advanced PC/laptop software knowledge and skills, including installation, configuration, troubleshooting and fighting viruses/malware. Demonstrated analytical ability to solve problems. Broad base of technical skills to clearly diagnose and solve problems relating to hardware and software issues. Acts positively upon constructive criticism and coaching. Work independently and in a group across all levels of the organization. Handles confidential information discreetly. Highly detail oriented. Effective interpersonal skills for interaction with all levels of staff, clients, vendors and consultants. Strong communication skills (both oral and written) and demonstrated ability to work as a team player. Detail-oriented, self-motivated and able to quickly adjust priorities and the ability to handle multiple tasks at the same time. Conducts self professionally & ethically. Remains calm under pressure. Places a high emphasis on excellent customer service. Fosters and supports a teamwork environment. Proficient knowledge of VMware Enterprise features Proficient knowledge of Microsoft software including Windows Server, Office 365, SQL, MS RDS, SCCM, AD Knowledge of Rapid 7 SEIM Knowledge of CrowdStrike MDR Knowledge of Delinea Secret server Autodesk Proficient knowledge of networking and enterprise-wide printing. Linux system administration experience a plus Compliance Monitoring tool exposure Varonis DatAdvantage preferred Learn more about U.S. Tsubaki at: U.S. Tsubaki offers a competitive compensation and benefits package, including health benefits effective on date of hire, dental and vision benefits effective on the first of the month following date of hire, Paid Time Off ("PTO"), 10 paid holidays, generous 401(k) match and profit sharing, annual bonus potential, life insurance, short and long-term disability, flexible spending accounts, commuter benefits, education reimbursement, home and auto insurance discounts, and pet insurance. The estimated salary range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on location, skills and expertise, experience, and other relevant factors. Applicants must be authorized to work for any employer in the United States. Tsubaki does not sponsor or take over sponsorship of employment visas. Tsubaki is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability PM21 PIe48bb04c6b97-9172

GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications

GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications

GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications

GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications

GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications

Job Description Job Description Inventory Management and Accountability Maintain accountability and traceability of Government material supporting program operations in accordance with DoD FIAR requirements and NIWC Atlantic inventory management practices . Utilize NIWC Atlantic CM Pro configuration and inventory management tools to track all materials located at contractor facilities and designated Government laboratory spaces. Maintain configuration and material management data using IBM Jazz Suite tools , including Rational Team Concert (RTC) and Rational Asset Manager (RAM) or Government-approved equivalents. Validate and maintain inventory records including: Part number Description Manufacturer CAGE Code National Stock Number (NSN) Condition Code Purpose Code Cognizance (COG) Code Unit price Submit CMPro help desk requests as required to correct inventory discrepancies or update configuration records. Navy ERP and Material Master Management Access and utilize Navy ERP with Inventory Management/Warehouse Management (IM/WM) roles . Research Unique Material Masters (UMMs) and assist in creating new UMMs when required. Submit HEAT tickets to the Navy ERP Help Desk to request new material master records or resolve material data issues. Audit Support and Inventory Validation Support quarterly, semi-annual, and annual Government inventory audits conducted by NIWC Atlantic and other owning commands. Conduct periodic book-to-floor and floor-to-book inventory audits to validate physical inventory against system records. Provide quarterly inventory accuracy reports to the Contracting Officer's Representative (COR). Perform root-cause analysis of discrepancies and recommend corrective actions using the Warranty Tracking and Administration for Serialized Item Report (A00A) . Material Receiving Perform material receiving functions for all equipment and supplies delivered in support of program activities. Conduct receipt inspections and identify discrepancies or damaged shipments. Notify Government personnel of receiving discrepancies within five (5) working days . Submit required reports including: Supply Discrepancy Reports (SDR) Product Quality Deficiency Reports (PQDR) via the Product Data Reporting and Evaluation Program (PDREP) system. Record all received items within the Inventory Tracking Report (CDRL A009) . Material Storage Provide proper storage and protection of Government material in accordance with program storage requirements and applicable security controls. Ensure storage environments meet safety, security, and environmental requirements for Government property. Material Movement and Shipping Coordinate and execute shipment of materials locally and to CONUS and OCONUS destinations . Prepare shipments in compliance with MIL-STD-2073 packaging requirements . Utilize NIWC Atlantic Transportation Management Office (TMO) for non-local Government shipments unless otherwise authorized by the COR. Maintain records of all shipments within the Material Receiving/Shipping Report (CDRL A009) . Obtain and maintain appropriate courier card authorization for classified material transport when required. Material Handling Equipment Coordinate rental, procurement, and operation of material handling equipment including: Forklifts Flatbed and box trucks Pallet jacks Banding equipment and related supplies Manage fuel or propane required for equipment operations. Coordinate maintenance and repair of Government Furnished Equipment (GFE) used in logistics operations. Installation Kit Assembly (Material Kitting) Support the receipt, inventory management, assembly, and shipment of system and platform-specific installation kits . Ensure kits contain required components including: Parts and materials Installation instructions Packaging and labeling Security markings Distribution statements Product support licensing documentation Program Points of Contact Perform quality assurance inspections of kits prior to shipment. Company Description At Cyber Offset Alliance, we are dedicated to delivering innovative technology and cybersecurity solutions that support mission-critical operations for the Department of Defense and federal agencies. Our team specializes in systems integration, cybersecurity, cloud engineering, and IT services that enhance national security and strengthen operational effectiveness. We pride ourselves on a culture that values excellence, collaboration, and growth. Our employees are trusted professionals who take ownership of their work, solve complex challenges, and drive real-world impact. We foster an environment where team members are supported in their career development and given the tools they need to succeed. Joining our team means working alongside experienced professionals on projects that matter. We are committed to investing in our people with competitive compensation, comprehensive benefits, and opportunities for advancement. At Cyber Offset Alliance, you'll have the chance to make a difference, innovate, and grow in a company that values your contributions. Company Description At Cyber Offset Alliance, we are dedicated to delivering innovative technology and cybersecurity solutions that support mission-critical operations for the Department of Defense and federal agencies. Our team specializes in systems integration, cybersecurity, cloud engineering, and IT services that enhance national security and strengthen operational effectiveness. We pride ourselves on a culture that values excellence, collaboration, and growth. Our employees are trusted professionals who take ownership of their work, solve complex challenges, and drive real-world impact. We foster an environment where team members are supported in their career development and given the tools they need to succeed. Joining our team means working alongside experienced professionals on projects that matter. We are committed to investing in our people with competitive compensation, comprehensive benefits, and opportunities for advancement. At Cyber Offset Alliance, you'll have the chance to make a difference, innovate, and grow in a company that values your contributions.