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Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Job Description QA/QC Support Specialist - GIS Mapping Brooklyn, NY (Hybrid) Pay: $42.00 - $47.00 per hour 26-03296 Job Summary The QA/QC Support Specialist supports the modernization of GIS mapping systems by validating and ensuring the accuracy of data migrated from legacy platforms. This role focuses on quality assurance and quality control of electric and gas mapping data, including spatial analysis, connectivity validation, and attribute verification. The specialist also leads testing efforts, supports system implementation, and collaborates with cross-functional teams to ensure GIS solutions meet technical and user requirements. Job Responsibilities • Perform data validation using queries and spatial analysis to ensure accuracy of migrated GIS data, • Review land base geometry, structure connectivity, and cable network integrity, • Verify attribute data for linear and point features related to electric and gas systems, • Update and enhance map symbology to improve visualization and usability, • Lead testing activities, including factory acceptance, system acceptance, and user acceptance testing, • Review and provide feedback on test plans, scripts, and related documentation, • Maintain testing documentation and track execution using tools such as Azure DevOps, • Collaborate with internal teams and vendors to resolve data and system issues, • Advocate for end users by ensuring solutions meet functional and usability expectations, • Support additional GIS and mapping-related projects as needed, • Bachelor’s degree required, • Minimum of 2 years of experience with GIS tools, including ESRI ArcMap, • Strong knowledge of GIS concepts, including MXD development, spatial queries, and spatial analysis, • Experience working in a utility or infrastructure environment preferred, • Familiarity with testing tools such as Azure DevOps or similar platforms, • Proficiency in Microsoft Office applications, • Strong analytical, organizational, and problem-solving skills, • Ability to work independently with minimal supervision, • High attention to detail, initiative, and accountability, • Experience with GIS data validation, QA/QC processes, or mapping systems required, • Experience supporting system testing and data quality initiatives preferred, • Experience in electric and gas utility mapping environments preferred#ZR

Job Description: • Design, configure, and customize Dynamics 365., • Develop plugins, workflows, Power Automate flows, and custom integrations., • Integrate D365 with external systems using Azure Logic Apps, Azure functions, Service Bus., • Participate in solution architecture, technical design sessions, and requirement workshops., • Support data migration using Azure Data Factory and related tooling., • Troubleshoot production issues and optimize performance., • Collaborate with cross-functional teams including Azure, Data, and QA.

Description The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium () funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration. Responsibilities • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager., • Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility., • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management., • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance., • Mentor junior engineers in data warehousing, data engineering skills, and operational support., • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON)., • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation., • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs., • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support., • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching., • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach., • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations., • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost., • Identify improvements in procedures, technology, compliance, and data privacy/security., • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring., • Perform related duties as assigned. Qualifications • Bachelor’s degree in a technical field; Master’s preferred., • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development., • Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent., • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git., • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment., • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet)., • Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL., • Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations., • Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role A Presidio Digital Services Principal Architect, Healthcare and Life Sciences (HCLS), leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with HCLS accounts. Leveraging sharp business acumen alongside technical expertise, a builder mentality, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners); the Principal Architect assesses industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This is a client-facing, 100% presales role that operates at the intersection of sales, delivery engineering, and customer executives to ensure we only propose solutions that are desirable for the client, feasible for delivery, and viable for Presidio Key Responsibilities: • Drive Digital Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), and data estate and platform modernization. You act as the primary technical lead on pursuits, shaping solutions that sales can confidently position and close., • Understand Customer Current State.Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership.Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly., • Practice Delivery Engagement. Act as a bridge between sales and delivery engineering to ensure customer success. Collaborate closely with delivery leads to shape approaches, validate feasibility, right-size risk, and author formal scopes of work. Ensure that what is proposed in presales is realistic, deliverable, and aligned with the way our teams actually execute., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis. Clearly articulate trade-offs, options, and phased approaches that align with client constraints and priorities., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas, including emerging AI-driven development and data practices. Understand Presidio's accelerators, reference architectures, and AI-in-SDLC practices well enough to position them credibly in client conversations, while partnering with delivery teams that own detailed implementation. Participate in technical communities, internal knowledge sharing, and external presentations as appropriate., • Account Leadership.Actively participate in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, and strategic workshops. Help shape multi-year digital, data, and AI roadmaps in partnership with sales and delivery leadership., • Team Engagement and Enable Culture.Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships.Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes, qualification, and solutioning patterns. Stay current on Presidio's internal practices, methodologies, and AI accelerators so you can continuously refine how you position our differentiated value to clients., • Extreme ownership mentality with a self-starting approach to ambiguous problems without waiting for direction, • Demonstrated grit and resilience with a track record of running toward tough challenges and navigating uncertainty, • Intellectual curiosity with evidence of independently learning emerging technologies (for example, GenAI, agentic AI, modern data platforms, or cloud services) outside formal training, • Collaborative mindset with humility and the ability to work across sales, delivery engineering, and partner teams, deferring to domain experts when appropriate, • Growth mindset with willingness to course-correct upon feedback and actively seek mentoring and coaching, • Aptitude for consultative presales with a context-first problem-solving approach, • Proven ability to deeply understand customer business friction, desired outcomes, and constraints before architecting solutions, • Demonstrated comfort leading presentations, solution demonstrations, and whiteboard sessions with both technical and executive audiences, • Expert time management and ability to set expectations and provide timely feedback loops to leadership and account teams, • Hands-on engineering background with proven experience writing, reviewing, or refactoring code, or architecting data solutions (not just infrastructure or platform design), • Deep roots in software development or data engineering, with experience building, testing, and shipping software or data solutions, • Prior experience in a presales solution architect, principal architect, or similar role bridging sales and delivery is strongly preferred, • Overall 10+ years of relevant experience, • 7+ years of architecture, design, implementation, and/or consulting in digital and/or cloud technologies, • 5+ years hands-on experience with AWS, Azure, or GCP, with deep expertise in at least one major cloud and readiness to work with others, • 5+ years of specific domain experience in one or more of the following areas:, • Application development: Building new products, features, or user experiences, • Application modernization: Refactoring legacy codebases, re-architecting monoliths, upgrading frameworks (beyond lift-and-shift or containerization only), • Data engineering and modernization: Modern data platforms (Snowflake, Databricks), data pipelines, large-scale data migration programs, analytics solutions, cloud-native data services (AWS Glue/Redshift/EMR, Azure Synapse/Data Factory, GCP BigQuery/Dataflow), • Software development lifecycle (SDLC) optimization: CI/CD for developer velocity, AI-augmented development, and testing automation, • Artificial intelligence (AI) and Generative AI (GenAI): RAG pipelines, LLM-embedded applications, multi-agent systems, and agentic orchestration approaches, • A builder mentality capable of prototyping software and data solution concepts where appropriate, with comfort using AI-accelerated tools as part of your own workflow, • Amazon Web Services (AWS), Google (GCP), and/or Microsoft (Azure) architect-level certifications, • Experience in delivering modern application architectures through hands-on development or code refactoring (for example, microservices, event-driven architectures, serverless, API-first design), • Hands-on software engineering or code development experience (for example, Python, Java, C#, JavaScript/TypeScript, Go, or similar), • Experience with modern data platforms and tools: Snowflake, Databricks, AWS (Glue, Redshift, EMR, Lake Formation), Azure (Synapse, Data Factory, Databricks), GCP (BigQuery, Dataflow, Dataproc), • Data engineering experience including building data pipelines, ETL/ELT, data modeling, data governance, or analytics solutions, • Experience with large-scale data migration or modernization programs, • Experience building GenAI-embedded solutions: RAG pipelines, LLM-based applications, prompt design, vector databases, • Experience with agentic AI frameworks and orchestration: LangGraph, AutoGen, crewAI, Semantic Kernel, or custom multi-agent systems, • Familiarity with data engineering for AI/ML, including feature engineering, vector databases, and data preparation for LLM training or fine-tuning, • Familiarity with AI-accelerated development tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, Tabnine, or similar, • Experience using AI in the SDLC, including code generation, automated testing, documentation generation, or code review assistance, • Demonstrated curiosity about AI's impact on software and data delivery (for example, through webinars, articles, experiments, or peer discussions), • DevOps experience focused on application delivery and developer productivity (rather than platform operations alone), • Experience with reviewing and/or writing statements of work (SOW), • Experience and/or ability to prepare RFP/RFI responses, proposals, and solution documents, • Demonstrated comfort leading CIO/CTO-level presentations, solution demonstrations, and whiteboard sessions, • Experience working in Healthcare and Life Sciences (HCLS) solutions, companies, or regulated environments, • Awareness of GxP compliance frameworks, 21 CFR Part 11, HIPAA/PHI data handling, and related regulatory constraints, • Familiarity with FHIR interoperability standards, HL7, and EHR/EMR integrations (for example, Epic, Cerner) Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Senior Technology Development Operations Manager Cooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team. Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure), • Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment, • Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries, • Lead the evolution of our DevOps and DevSecOps practice maturity, • Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure, • Define, document, and enforce configuration standards and governance through IaC, • Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices, • Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling, • Serve as a technical escalation point, • Work with our development and data teams to integrate products into a DevOps-managed environment, • Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases, • Participate in software releases and deployments, • Contribute to the design, update, refinement, and documentation of operational processes, • Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD, • Brainstorm new ideas and ways to improve product delivery and efficiency, • Consult peer teams for feedback during the design, testing, and implementation stages, • Serve as direct supervisor and mentor to direct reports, • Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests, • Support business professional development and continued educational opportunities, • In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles, • Proficiency in AWS or Azure architecture, configuration, and security, • Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform expertise, including advanced workflows and tools like Terragrunt, • Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Hands-on with .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Supervisory experience, • Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Job Description Job Description Title: Azure Data Engineer Location: Hybrid/Jersey City, NJ Contract Duration: 12 Months Summary: Experience on ADLS, Azure Databricks, Azure SQL DB and Datawarehouse Strong working experience in Implementation of Azure cloud components using Azure Data Factory , Azure Data Analytics, Azure Data Lake, Azure Data Catalogue Experience: Have knowledge in Azure Storage services (ADLS, Storage Accounts) Expertise in designing and deploying data applications on cloud solutions on Azure Hands on experience in performance tuning and optimizing code running in Databricks environment Good understanding of SQL, T-SQL and/or PL/SQL Should have experience working in Agile projects with knowledge in Jira Good to have handled Data Ingestion projects in Azure environment Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment Experience on Python scripting, Spark SQL PySpark.

Azure Databricks Engineer with Python & Spark - 2 Positions (Senior & Lead) - Only W2. Role: Azure Databricks Engineer with Python & Spark (Senior / Lead). Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description *Authorization to work in the US is required *This is a remote position with occasional travel to onsite location in Brooklyn, NY *Applicants residing within travel distance are preferred *Three references are required POSITION DESCRIPTION: The Senior .NET Full Stack Developer will serve as a key technical resource responsible for designing, developing, enhancing, and maintaining enterprise applications across the Galaxy Systems, Enterprise Application Systems, and Vendor Portal Systems workstreams. This role requires full lifecycle development experience, including requirements of understanding, architecture design, implementation, testing, deployment, and support. The developer will work closely with Business Analysts, UI/UX Designers, PMs, and DOE stakeholders to deliver secure, scalable, and high-performing solutions in alignment with DOE standards and security frameworks. RESPONSIBILITIES: • Design, develop, and enhance .NET-based applications across multiple DOE systems (Galaxy, Data Systems, Compliance Systems), • Build APIs, microservices, integrations, and automated workflows to modernize existing processes., • Implement end-to-end development activities using Agile methodologies and participate in multi-sprint delivery cycles., • Create and maintain application architecture, reusable components, frameworks, and coding standards., • Collaborate in requirements analysis, technical design sessions, and sprint planning., • Perform unit, integration, and functional testing, preparing test plans, and remediating issues., • Support secure application development by applying DOE cybersecurity protocols, encryption, authentication, and data validation requirements, • Troubleshoot and resolve production issues, ensuring application availability and performance., • Develop system documentation, deployment guides, and technical specifications., • 8+ years of hands-on development experience in Microsoft .NET environments, • Bachelor's degree in computer science or related field (master's preferred)., • Demonstrated experience working on large-scale enterprise applications, preferably in government or public sector environments., • Expertise in .Net Core, SQL Server, API, ASP.NET, JavaScript, jQuery, Angular, React JS, CRM (Salesforce.com), DevOps, Kubernetes, Docker, Microservices, Azure Data Factory, & related Cloud Technologies, • Experience with Azure DevOps CI/CD pipelines, • Strong understanding of SDLC, Agile frameworks, and DevOps toolchains, • Strong analytical problem-solving abilities, • Excellent communication for cross-functional collaboration, • Ability to interpret complex business rules and translate into scalable solutions, • Adaptability to shifting project priorities in multi-workstream environments Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan; personal time off, and 11 federal holidays. All benefits are subject to eligibility requirements.

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial services organization known for its strong presence in capital markets and investment banking. The team operates within a strategic technology group focused on delivering advanced data solutions that support trading, analytics, and market operations. This environment brings together highly skilled engineers, data specialists, and business stakeholders working in a fast-paced, collaborative setting. The group is actively enhancing data pipelines, real-time processing capabilities, and analytics platforms to support complex financial products and trading workflows. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on cutting-edge data engineering initiatives within capital markets, • Exposure to high-impact trading and market data systems, • Design, build, and optimize scalable data pipelines using Azure and Databricks, • Develop and maintain data workflows leveraging Azure Data Factory (ADF), • Integrate streaming and batch data sources, including Kafka and Delta Share, • Support data analysis and transformation using Python and SQL, • Collaborate with cross-functional teams to align data solutions with business needs, • Ensure secure and efficient data storage using Azure Blob Storage and Key Vault, • Contribute to automation and scheduling processes using Autosys/JIL, • 10+ years of experience in data engineering or related roles, • Strong expertise with Azure ecosystem, including ADF, Blob Storage, and Key Vault, • Hands-on experience with Databricks, including Delta Share and Kafka integration, • Proficiency in Python and SQL for data processing and analysis, • Experience with job scheduling tools such as Autosys/JIL, • Solid understanding of data pipeline architecture and optimization, • Familiarity with Fixed Income products (e.g., US Treasuries, Futures, market liquidity data), • Ability to collaborate across technical and business teams effectively, • Strong communication and problem-solving skills

Job Description Job Overview: We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations. Key Responsibilities: • Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements, • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems and address any issues or bottlenecks in existing pipelines., • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards., • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes., • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements, • 7-12 years experience on Data Engineering role working with Databricks & Cloud technologies., • Bachelors degree in computer science, Information Technology, or related field., • Strong proficiency in PySpark, Python, SQL., • Strong experience in data modeling, ETL/ELT pipeline development, and automation, • Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data Lake etc., • Experience with data modeling, ETL processes, Delta Lake and data warehousing., • Experience on Delta Live Tables, Autoloader & Unity Catalog., • Preferred - Knowledge of the insurance industry and its data requirements., • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy., • Excellent problem-solving skills and ability to work under tight deadlines., • Hands-on experience with performance tuning of data pipelines and workflows, • Excellent communication and problem-solving skills to work effectively with diverse teams

Job Description Overview The Director of Data Management, Engineering, and Business Intelligence is an enterprise-wide technology leader responsible for building a data-driven culture at Garan Apparel. This role ensures that data is accurate, available, secure, and AI-ready, while also delivering exceptional user experiences that empower business teams to make fast, confident decisions. By integrating Microsoft Fabric on Azure, managing Power BI, and collaborating with the Enterprise Architect, development, and security teams, this leader ensures that data is not only delivered but also understood, trusted, and acted upon across all departments. Key Responsibilities: Azure Data Fabric Integration • Lead the design, implementation, and management of Microsoft Fabric on Azure to unify data from e-commerce, B2B, supply chain, finance, and customer service functions, ensuring seamless integration, governance, and scalability., • Utilize One Lake and Azure-native data services for optimized storage, sharing, and analytics across the enterprise., • Orchestrate robust data pipelines and real-time analytics with Fabric Data Factory and Azure Event Hub. Database and Power BI Oversight • Oversee all databases—SQL, NoSQL, cloud data warehouse—ensuring performance, reliability, security, and scalability., • Manage and optimize Power BI architecture, semantic models, and dashboards to support actionable business insights for all departments. Business Intelligence & User Experience Leadership • Design user-centric BI solutions that go beyond technical delivery—focusing on clarity, usability, and actionability for executives, analysts, and operational teams., • Apply UX best practices in BI design: simplify navigation, reduce cognitive load, use intuitive visualizations, and enable interactivity (such as drill-downs, filters, and tooltips)., • Ensure role-based dashboards that deliver relevant insights to different user types—executives, operations, and analytics—with personalized views and natural language search capabilities., • Incorporate data context—benchmarks, trends, and comparisons—so users understand not just what the data says, but why it matters and what to do about it., • Conduct user testing and feedback loops to continuously refine dashboards and reports based on real-world usage and business impact. Collaboration Across Functions • Work closely with the Enterprise Architect to ensure that data flows, integrations, and systems architecture align with long-term enterprise goals and standards., • Partner with the development team to deliver optimized data models, robust schema design, performant queries, and reliable ETL/ELT processes that drive application and analytics performance., • Engage regularly with the security team to enforce data policies, ensure compliance (GDPR, CCPA, etc.), maintain Azure Key Vault integration for secrets management, and monitor for data breaches or vulnerabilities. AI Agent Readiness and Innovation • Build and maintain AI-ready datasets, semantic layers, and feature stores to support future deployment of AI agents for personalized experiences, autonomous decision-making, and process automation., • Evaluate, pilot, and scale AI agent technologies in partnership with the Enterprise Data and AI Architect to drive enterprise innovation and intelligent automation. Third-Party Vendor Management • Manage relationships with external technology vendors to ensure reliability, cost-effectiveness, support, and continuous improvement within Garan’s data ecosystem., • Oversee the onboarding, integration, and performance of all data tools and connectors provided by third parties. Continuous Optimization and Industry Alignment • Proactively monitor system health, data flow, and performance across Azure services, identifying and resolving issues before they impact operations., • Stay current with industry trends, best practices, and use cases—especially in retail data, agent-based AI, and Microsoft Fabric innovation—ensuring Garan’s data strategies remain state-of-the-art. Qualifications • Bachelor’s or master’s degree in computer science, Information Systems, or related field., • 10+ years in enterprise data leadership across retail, apparel, or e-commerce, with hands-on experience in Azure, Microsoft Fabric, Power BI, and data governance., • Proven track record managing databases, optimizing BI environments, and delivering secure, reliable data solutions for large organizations., • Experience collaborating with architects, development, and security teams on complex enterprise projects., • Strong understanding of BI user experience principles, dashboard design, and data storytelling. Desired Skills & Competencies • Deep technical expertise in Azure and Microsoft Fabric, • Leadership in database management, BI, and AI readiness, • Cross-functional collaboration and vendor management, • Strong understanding of data security, governance, and compliance, • Up to date on industry trends and innovation, • Focus on user experience and data-driven actionability Performance Metrics • Data integrity and availability across all departments, • System uptime and query performance, • Power BI adoption and user satisfaction across business units, • Reduction in time-to-action based on data insights, • Successful onboarding and reliability of third-party integrations, • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention, • Adoption of best practices as informed by industry trends This role is essential for Garan Apparel’s enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. Salary: $150,000 - 175,000

Job Description The Senior Data Engineer reports to the Sr Director of Engineering and is responsible for defining and implementing a unified data architecture to streamline and enhance data access, storage, and reporting across the company. You will define standards and best practices for data governance, meet with and understand the data and reporting needs of various teams, and create robust reporting mechanisms. Additionally, you will lead efforts to integrate AI technologies into our data workflows to unlock predictive insights and advanced analytics capabilities. The role is open to remote work in the following states only California, Colorado, Connecticut, Florida, Illinois, Louisiana, Maryland, Nevada, New Jersey, New York, Pennsylvania, Texas, Virginia, Washington and Wisconsin. Responsibilities • Design and implement a scalable, robust, and consistent data architecture, aligned with business objectives, that supports both operational and analytical needs., • Own and support data pipelines integrating data sourced across multiple systems. Deliver a highly available data platform leveraged by business users across the enterprise., • Partner with engineering teams to integrate AI and machine learning models into the data architecture, enabling predictive analytics, automation, and improved decision-making capabilities., • Work closely with business and project stakeholders to deliver data solutions for a diverse set of problems., • Help ensure security, privacy, and compliance for all data assets and workflows., • Create comprehensive documentation for data processes, structures, and pipelines. Provide training and support to ensure best practices are followed throughout the organization. Design and develop data pipelines for data collection, analysis, and related functions., • Establish and enforce data governance standards, ensuring data consistency, accuracy, and integrity across all systems and departments., • Provide thought leadership for technical architecture design, development, and deployment to support enterprise-wide data needs., • Performs related duties as requested Experience • Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, or related field, • 7+ years of experience in data architecture, data engineering, or related roles., • Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques including Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB, • Solid understanding of data governance, security practices, and privacy laws (HIPAA, CCPA)., • Excellent problem-solving skills and a strategic mindset with the ability to influence key stakeholders., • Prior Experience working in healthcare, clinical experience preferred Comp & Benefits: Range: $130,000-$155,000 + Bonus + Equity This is the range of pay for candidates nationally. Sollis is a multi-state employer and this rate/range may not reflect the pay for positions that are performed solely in localities outside of this location. Furthermore, actual pay is dependent on several factors that may include but are not limited to years of experience within the job, years of experience within the required industry, location, education, etc. Our people are our greatest asset, so we designed a comprehensive compensation and benefit package that matches. Some of our offerings include: • Excellent benefits, including healthcare, dental, vision, • 401K with 3% match, • Unlimited PTO and Generous Sick Time, • 12 Observed holidays, • Free Sollis Health membership for you and your eligible family members, • Employee stock options offering, • Annual professional development allocations Sollis Health is the first and only medical membership that's on-demand 24/7, 365. We live up to the concierge promise: with just one call, our members experience unparalleled care and follow-up on their schedule and their terms. Our members never wonder if it's a "real" emergency. They simply call Sollis for immediate access to ER-trained medical teams, on-site labs and imaging, expedited specialist appointments, and care navigation that's all under one roof. With unlimited 24/7 virtual and in-person support from locations in Manhattan, the Hamptons, Los Angeles, South Florida, and San Francisco, Sollis puts our members in first class by handling all medical issues—big or small—with expert concierge care anytime, anywhere.

Job Description Job Overview: We are seeking a skilled Databricks Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations. Key Responsibilities: • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems address any issues or bottlenecks in existing pipelines., • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards., • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes., • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements, • 4-9 years experience on Data Engineering role working with Databricks & Azure Cloud technologies., • Bachelors degree in computer science, Information Technology, or related field., • Strong proficiency in PySpark, Python, SQL., • Strong experience in data modeling, ETL/ELT pipeline development, and automation, • Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data Lake etc., • Experience with data modeling, ETL processes, Delta Lake and data warehousing., • Experience on Delta Live Tables, Autoloader & Unity Catalog., • Preferred - Knowledge of the insurance industry and its data requirements., • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy., • Excellent problem-solving skills and ability to work under tight deadlines., • Hands-on experience with performance tuning of data pipelines and workflows, • Excellent communication and problem-solving skills to work effectively with diverse teams

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial institution operating at the forefront of banking and financial services. The organization is known for its strong commitment to innovation, operational excellence, and data-driven decision-making. The technology division plays a critical role in enabling enterprise-wide transformation initiatives, with a focus on modernizing data platforms and enhancing analytics capabilities. Teams operate in a collaborative, fast-paced environment where cutting-edge cloud technologies and large-scale data solutions are actively leveraged to drive business impact. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on enterprise-scale cloud data platforms within a leading financial services environment, • Exposure to modern Azure data ecosystem tools and large-scale data engineering initiatives, • Design, build, and optimize scalable data pipelines using Azure cloud technologies, • Implement data solutions leveraging Azure Data Factory, Azure Data Lake, and Azure Databricks, • Develop and maintain data ingestion frameworks for structured and unstructured data, • Optimize performance of data workflows and Databricks jobs for efficiency and scalability, • Collaborate with cross-functional teams to support data analytics and reporting initiatives, • Ensure data quality, integrity, and governance across enterprise data platforms, • 10+ years of experience in data engineering or related roles, • Strong hands-on experience with Azure Data Lake (ADLS), Azure Data Factory, Azure Databricks, and Azure SQL/Data Warehouse, • Proven expertise in building and deploying cloud-based data solutions on Azure, • Advanced knowledge of SQL, T-SQL, and/or PL/SQL, • Experience with Python, PySpark, and Spark SQL for big data processing, • Strong experience with performance tuning and optimization in Databricks environments, • Experience working in Agile environments with tools such as Jira, • Background in designing and implementing data ingestion pipelines in cloud environments, • Strong analytical and problem-solving skills, especially within large-scale data ecosystems, • Excellent communication and collaboration skills

Job Description *Authorization to work in the US is required *This is a remote position with occasional travel to onsite location in Brooklyn, NY *Applicants residing within travel distance are preferred *Three references are required POSITION DESCRIPTION: The SQL Database Administrator will be responsible for managing DOE application databases supporting Galaxy Systems, Enterprise Application Systems, and Vendor Portal Systems. This includes performance tuning, data modeling, security administration, backup/restore operations, and supporting application enhancements with robust and scalable database solutions. RESPONSIBILITIES: • Design, maintain, and optimize SQL Server databases used across DOE enterprise applications., • Support the development team in writing efficient stored procedures, triggers, and queries., • Implement data validation rules, transformation logic, and ETL pipelines to improve data accuracy and reliability., • Ensure compliance with DOE cybersecurity, data privacy, and audit requirements., • Monitor database performance and implement tuning strategies., • Develop and maintain data dictionaries, schemas, and database documentation., • Manage backup/restore strategy and disaster recovery procedures., • Support application releases, data migrations, environment refreshes, and integration with other DOE systems., • 7+ years of experience as a SQL Server DBA in enterprise environments., • Strong understanding of large-scale data management, data governance, and system integrations., • Experience supporting .NET applications and ETL processes., • Proficiency in SQL Server 2016+ version, T-SQL performance tuning, SSIS, Azure Data Factory, and ETL workflow design, • Advanced knowledge in Database security, encryption, auditing, backup/restore, replication, and failover clustering, • Experience with reporting frameworks (Power BI, SSRS a plus), • Strong analytical and debugging abilities, • Effective communication and documentation skills, • Ability to collaborate with developers, analysts, and DOE teams, • Attention to data accuracy, integrity, and security Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan; personal time off, and 11 federal holidays. All benefits are subject to eligibility requirements.

Job DescriptionPosition Summary: The ETL Engineer is responsible for designing, developing, and maintaining data pipelines that extract, transform, and load data into analytics platforms, including SQL Server and ClickHouse for real-time and high-performance querying. This role ensures data integrity, scalability, and performance for BI, reporting, and advanced analytics. Job Responsibilities: • ETL Pipeline Development, • Design and implement ETL workflows using SQL Server Integration Services, Azure Data Factory, Databricks, and ClickHouse., • Develop transformations for structured and semi-structured data; optimize for speed and reliability., • ClickHouse Integration, • Build and maintain ingestion pipelines for ClickHouse using batch and streaming methods., • Optimize ClickHouse schemas, partitions, and materialized views for query performance., • Data Integration, • Connect multiple sources (SQL Server, APIs, cloud storage, Kafka/Event Hubs) into centralized data platforms., • Performance & Optimization, • Monitor SSIS ETL jobs and SQL Server and ClickHouse queries; tune for low latency and high throughput., • Implement compression, sharding, and replication strategies in ClickHouse., • Data Quality & Governance, • Apply validation checks, error handling, and lineage tracking., • Ensure compliance with security and governance standards., • Collaboration, • Work with data engineers, analysts, and BI teams to deliver reliable datasets., • Support real-time analytics and dashboards powered by PowerBI and ClickHouse., • Documentation, • Maintain clear documentation for ETL processes, SQL Server and ClickHouse schemas, and operational playbooks.Required Skills:, • Strong experience with ETL tools (Azure Data Factory, SSIS, Databricks)., • Proficiency in SQL and relational database concepts., • Familiarity with ClickHouse (schema design, ingestion, optimization)., • Familiarity with cloud platforms (Azure preferred)., • Programming skills in Python or Scala for data processing.Preferred Qualifications, • Experience with streaming data (Kafka, Azure Event Hubs)., • Familiarity with big data frameworks., • Understanding of DevOps practices for data pipelines., • Exposure to BI tools (Power BI, Tableau) integrated with ClickHouse.Education & Experience, • Bachelor’s degree in Computer Science, Data Engineering, or related field., • 3+ years of experience in ETL development and data integration.This is an On-Premises position. Monday through Thursday (9-5) and remote on Fridays only (No exceptions). Powered by JazzHR YEImEwwyhE

Job Description Be Part Of A High-Performing Team: Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem. What’s In Store For You: Engagement: W2 only (no C2C/1099) This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership. How You Will Make An Impact: • Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse, • Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains, • Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions, • Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem, • Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations, • Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes, • Support data quality, security, compliance, and operational reliability across the Azure data platform, • 10+ years of experience in data engineering, data platform development, or related enterprise data roles, • Strong hands-on experience building Azure data solutions in complex production environments, • Proven expertise with Azure Synapse, Azure Data Factory, and Databricks, • Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows, • Strong understanding of data governance, data security, and compliance considerations in regulated environments, • Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations, • Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments, • Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting, • Azure certifications are valued, • Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred

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