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NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset. As a business intelligence (BI) developer in the Business Intelligence department, you will collaborate with team members to create and refine datasets, dashboards, and reports that support decision-making across the organization. Serving as a BI developer, your day-to-day role will include managing data pipelines, validating data accuracy, and resolving issues that arise within the BI ecosystem. You will collaborate closely with analysts, finance, IT, and other teams to translate needs into technical solutions. • Develop, maintain, and optimize datasets, data models, and reports to support organizational decision-making., • Build and manage extract, transform, and load/extract, load, and transform (ETL/ELT) processes to ensure reliable data ingestion, transformation, and delivery across systems., • Validate data accuracy and troubleshoot issues with pipelines, models, and reports to maintain a high-quality BI environment., • Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver user-friendly dashboards., • Monitor BI system performance, implement enhancements, and ensure adherence to data governance and security standards., • Document processes, data definitions, and system changes to support long-term sustainability and team knowledge sharing., • Provide ongoing support for existing reports and datasets, including maintenance, updates, and performance tuning., • Partner with analysts and other teams to enable consistent, accurate, and accessible reporting across the organization., • Expertise with reporting tools, software, and other applications., • Established experience as a BI developer, creating interactive reports, visualizations, and data modeling., • Advanced Query Languages: Structured Query Language (SQL), Data Analysis Expressions (DAX), and Power Query M., • Python Proficiency: Ability to write clean, efficient Python for data transformation, validation, and automation, including using libraries such as pandas, Python Apache Arrow (PyArrow), or Microsoft Fabric Lakehouse Application Programming Interfaces (APIs)., • Spark/Notebooks: Experience using Python Apache Spark (PySpark) and Microsoft Fabric/Spark notebooks to manipulate large datasets, create transformation pipelines, and support more scalable data engineering tasks., • Experience building and maintaining fabric data pipelines, dataflows Gen2, notebooks, and lakehouse tables., • Understanding of delta tables, medallion architecture, incremental refresh, and performance tuning., • Ability to troubleshoot data pipeline failures, refresh issues, schema changes, and data mismatches across multiple layers., • Excellent analytical reasoning skills to translate operational and financial processes into scalable, accurate data models., • Similar experience in Google, Amazon Web Services (AWS), or Microsoft Azure Cloud is qualified., • Advanced Microsoft Fabric experience., • Kusto Query Language (KQL) for fabric real-time intelligence and telemetry analysis., • Exposure to Microsoft Azure services, such as Azure Data Factory, Azure SQL, or Data Lake Storage., • Understanding of security models (role-based access control [RBAC]), data governance, and compliance frameworks., • Microsoft Fabric Analytics Engineer certification (in progress or completed)., • A bachelor's degree in computer science, information technology/systems, finance/accounting, math/statistics, or a similar discipline, and five years of related experience, including experience with writing reports and analyzing technical requirement modes. It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact ___ if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. Learn more about NYSTEC by visiting ___. 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.

Join InfinityRx and a team of changemakers in this rare ground-floor opportunity to transform the healthcare industry. Our InfinityRx Claims Processor™ (ICP) is a next-generation, cloud-based pharmaceutical claims technology. We are seeking a Senior Data Engineer to take full ownership of our data storytelling. You will be the architect of our reporting ecosystem, responsible for ensuring our pharmaceutical clients receive world-class insights—from mission-critical daily updates to strategic Quarterly Business Reviews (QBRs). Key Responsibilities • End-to-End Reporting Ownership: Lead the design, delivery, and automation of all customer-facing reports. You will own the full cadence, including daily operational reports, monthly performance deep-dives, and executive-level QBR presentations., • Power BI Architecture: Serve as the internal expert for Power BI, building scalable DAX models and interactive dashboards that make complex pharmaceutical claims data easy to navigate for stakeholders., • Healthcare Data Engineering: Design and maintain robust SQL-based pipelines to ensure data flowing into reports is accurate, timely, and HIPAA-compliant., • Data Quality & Governance: Implement rigorous validation checks to guarantee 100% accuracy in pharmaceutical and financial records—ensuring "one version of the truth" across all reporting platforms., • Standards Integration: Manage and transform industry-specific data formats, specifically NCPDP Telecommunication Standards, into structured reporting layers., • Stakeholder Collaboration: Partner directly with Account Management and Leadership to translate client needs into high-impact visual narratives and data-driven insights.Required Skill Set, • Experience: Minimum 5 years of professional experience in Data Engineering, Business Intelligence, or Data Architecture., • Domain Expertise: Mandatory experience working with pharmaceutical or medical data (e.g., Pharmacy Claims, PBM, or EMR datasets)., • Power BI Mastery: Expert-level proficiency in Power BI, including advanced DAX, Power Query (M), and experience building professional-grade visualizations for external clients., • Technical Stack: * Advanced SQL: Mastery of complex querying, data modeling, and performance optimization., • Python: Strong proficiency in Python for data manipulation and ETL automation., • Operational Excellence: Proven ability to manage high-stakes reporting cadences (Daily, Monthly, Quarterly) with extreme attention to detail., • Regulatory Knowledge: Deep understanding of HIPAA regulations and healthcare data privacy.Preferred Qualifications, • NCPDP Expertise: Direct experience with NCPDP standards is a BIG PLUS., • Cloud Platforms: Hands-on experience with Microsoft Azure (Data Factory, Synapse, or Databricks)., • Education: Degree in Computer Science, Data Science, Information Systems, or a related field.Benefits & Compensation, • Salary Range: $100,000 – $125,000 (In compliance with NY Pay Transparency Act)., • Impact: A high-visibility role where you own the "face" of the data our clients see every day., • Growth: A direct path to leadership as we build out our Data and Client Success departments., • Equipment: High-performance company-provided laptop. “What we do today will affect everyone tomorrow – join us in changing the future of healthcare.”

Summary We are seeking a highly skilled Data Engineer to build and manage our data infrastructure. The ideal candidate will be an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. You will ensure data is accurate, accessible, and optimized for performance to support business intelligence, analytics, and reporting needs. Key Responsibilities • Database Design & Management: Design, develop, and maintain relational databases (e.g. SQL Server, ProgressSQL, Oracle) and cloud-based data warehouses., • Strategic SQL and Data Engineering: Develop sophisticated, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets for actionable business insights., • Data Pipeline Automation & Orchestration:Help build, automate, and orchestrate ETL/ELT workflows utilizing SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources., • Performance Optimization: Tune queries and optimize database schema (indexing, partitioning, normalization) to improve data retrieval and processing speeds., • Data Integrity & Security: Ensure data quality, consistency, and integrity across systems. Implement data masking, encryption, and role-based access control (RBAC)., • Documentation: Maintain technical documentation for database schemas, data dictionaries, and ETL workflows. Required Skills and Qualifications • Education: Bachelor’s degree in computer science, Information Systems, or a related field., • SQL Mastery: 5+ years of experience with advanced SQL (window functions, CTEs, query optimization)., • Database Expertise: Deep understanding of relational database management systems (RDBMS) and data modeling techniques., • Cloud Platforms: Demonstrated experience with Azure Data Services and other data warehouse technologies., • Programming: Proficiency in Python for scripting and data manipulation., • ETL Tools: Familiarity with tools like SSIS or Azure Data Factory., • Experience with NoSQL databases (Cosmos DB, MongoDB)., • Experience with big data frameworks (Apache Spark, Kafka)., • Tools Used: SQL IDEs (DBeaver, SSMS), Cloud Consoles, Git, Jira, SSIS., • Industry: Leasing. Salary is $130-$140k NOTE: NOT accepting C2C (Corp-to-Corp) or C2H (Contract-to-Hire)

Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, A

Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques. Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB.

Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake. Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL

Position Summary: MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment into a rapid-acquisition engine capable of feeding real-time ML models, innovation, and operations while maintaining rigorous healthcare compliance standards. Responsibilities: • Pipeline Architecture: Design, implement, and maintain end-to-end data pipelines on Azure, ensuring high availability and low latency for healthcare claim and analytics processing., • High-Performance Storage: Manage and optimize ClickHouse as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets., • ML Data Readiness: Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference., • MLOps Integration: Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining., • Rapid Acquisition: Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes) with high velocity., • Security & Compliance: Ensure all data structures and processes adhere to HITRUST/HIPAA standards, collaborating with IT and the leads for technical efforts for HITRUST certification readiness.Required Skills & Experience, • Cloud Expertise: 5+ years of experience in data engineering, with deep proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse., • OLAP Mastery: Proven experience managing and tuning ClickHouse (or similar columnar databases like Druid/Pinot) for massive datasets., • Programming: Expert-level Python and SQL skills., • ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning)., • Healthcare Domain: Prior experience with healthcare data formats (HL7, FHIR, 835/837) and a strong understanding of HITRUST/HIPAA security requirements., • Scale-up Mindset: Ability to build "v1" processes while designing for 10x growth.Preferred Qualifications:, • Experience with Infrastructure as Code (Terraform, Bicep)., • Knowledge of stream processing (Kafka, Azure Event Hubs)., • Background in financial or payment integrity analytics.

Join Aya Healthcare, winner of multiple Top Workplace awards! Come join our Data Operations team! In this hands-on role, the ideal candidate would help design, develop, and implement large scale, high-volume, high-performance, scalable data infrastructure and pipelines for client integrations. This person will have strong experience in cloud data design and management on the Azure platform. This person will join a nimble team working in a fast-paced environment for a great company where your opinion and experience matter. WHO WE ARE: We’re an $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. At Aya, we’re obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you’ll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally. RESPONSIBILITIES: • Monitor and troubleshoot data pipeline and warehouse quality and performance issues, ensuring smooth operation and proactively addressing potential bottlenecks, • Design, build, and maintain scalable ETL/ELT pipelines to transfer data to and from clients from diverse sources, such as APIs, cloud storage, and databases, • Collaborate with client engineering teams to understand their data structures, identify source systems, and contribute to technical integration requirements, • Stay updated with industry trends and advancements in data engineering and bring innovative ideas to continuously improve our data processes, • Ensure data security, privacy, and compliance by implementing appropriate Azure policies, procedures, and encryption methods, • Monitor and optimize the performance, scalability, and cost-efficiency of data storage and processing solutions on Azure REQUIRED QUALIFICATIONS: • Bachelor’s degree in computer science, information systems, or a related field, • 2+ years of experience in cloud data architecture, design and data governance, • Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse, • Proficiency in programming languages, such as SQL, Python, Scala, or Java, • Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure, • Knowledge of various data storage solutions, such as relational databases, etc., • Creating & Managing documentation on methodologies, tools and techniques, • Strong analytical problem-solving and the ability to explain complex technical designs to non-technical stakeholders, • Willing and able to work irregular hours as needed WHAT WE OFFER: • Free premium medical, dental, life and vision insurance, • Generous 401(k) match, • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses, • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling, • Celebrations! We hit our goals and reward ourselves., • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday!, • Unlimited DTO — we believe in time off!, • Virtual yoga, meditation or boot camp classes offered daily COMPENSATION: Aya reasonably anticipates the pay scale for this position to be an annual salary of $100,000. The pay scale for this position may vary if applicant possesses experience outside of what Aya reasonably anticipates for this position. Bonuses are subject to the role and your manager’s discretion. Aya is an Equal Opportunity Employer (EEO), including Disability / Vets, and welcomes all to apply. Please click ______for our EEO policy.

Due to organizational growth, SysLogic is seeking an experienced Data Analytics Architect with a strong focus on Microsoft technologies to join our team. As a Data Analytics Architect, you will play a critical role in designing, implementing, and optimizing data analytics solutions for our clients leveraging Microsoft's suite of tools and technologies. The Data Analytics Architect will work closely with the Director, Delivery Experience and Application and Analytics Business Solution Advisor on a variety of topics, including solution design and architecture and project estimation. This role is technically focused and requires the ability to execute in all the stages of the data software development lifecycle. PRIMARY RESPONSIBILITIES: • Collaborate Business Analysts to translate business requirements into scalable and efficient data analytics solutions utilizing Microsoft technologies., • Exhibit in-depth knowledge and hands-on experience architecting solutions with Microsoft Fabric, Azure Synapse Analytics, Azure Data Services, Power BI, SQL Server, Azure Analysis Services, and other relevant Microsoft tools., • Develop end-to-end data analytics architectures, including data integration, data warehousing, data modeling, data visualization, and reporting, leveraging Microsoft platforms., • Review existing and data architectures to identify gaps, recognize risks, recommend improvements, and ensure alignment with enterprise standards and future scalability., • Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other relevant tools to extract, transform, and load data from various sources into a unified data platform., • Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI, enabling users to gain valuable insights from data., • Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency., • Partner with our Security practice to ensure data security, privacy, and compliance with relevant regulations and standards are met., • Collaborate with cross-functional teams, providing technical leadership and guidance to clients, data engineers, analysts, and other stakeholders to ensure successful project delivery., • Bachelor’s degree in computer science, Data Science, Information Systems or related field desired or applicably aligned professional experience. Master's degree in data science or analytics is a plus., • Relevant certifications: (Microsoft Azure Solutions Architect Expert, Power BI Data Analyst Associate, etc.) are a plus., • Five or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on Microsoft technologies. Should possess a minimum of 10 years overall data related experience illustrating progressive growth of experience and competencies., • Strong verbal and written communication and collaboration skills, with the ability to effectively interact with stakeholders, at all levels, in all environments, scheduled and impromptu., • Innovative with a demonstrated curiosity to expand skills and adapt to a changing technological landscape to meet clients growing needs and challenges., • Presents and maintains a strong professional presence in interactions with all levels of the organization as well as client environments., • Superior customer service focus demonstrated ability to work closely with them to identify and resolve any potential communication or technical issues., • Ability to present and participate in requirements elicitation and brainstorming sessions with internally and externally facing teams both in ad hoc and structured environments., • Experience mentoring team members and promoting high standards in data engineering system design Technical Experience: • Proficiency in data modeling, data integration, and data visualization techniques using Microsoft technologies., • Strong problem-solving skills and ability to design scalable and efficient data analytics architectures., • Excellent understanding of data warehousing concepts, data governance, and data quality principles., • Solid knowledge of data security and compliance considerations in the context of data analytics., • Deep expertise in Microsoft data analytics technologies, including Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Power BI, SQL Server, and Azure Analysis Services., • Strong understanding of data architecture principles, including data modeling (dimensional and normalized), metadata management, and data governance., • Experience creating data architecture, recognizing risks and recommending scalable, secure, and high-performance solutions., • Proficiency in ETL/ELT development, data pipeline orchestration, and performance tuning., • Familiarity with AI/ML integration in analytics workflows using tools like Azure Machine Learning, Python, or R is a plus., • Strong background utilizing source control management tools (Azure DevOps, Git, JIRA SVN.), • Continuous exposure to delivering within development or other relevant methodologies (Scrum, Agile, KANBAN), • Familiarity with data security and compliance standards (e.g. HIPAA, GDPR, SOC2) in cloud environments beneficial. Travel Required: Position can work remotely with travel 4-6 times per year with no more than 24 days away from home per calendar year. For this remote role, we are only accepting candidates that reside in the following states: Wisconsin, Illinois, Michigan, Iowa, Ohio, Indiana, North Carolina, South Dakota, Arkansas, Florida or Arizona. Candidates may be required to travel to the SysLogic offices as part of the interview process. • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Long Term Disability, • Training & Development, • Work From Home

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. * Develop AI-powered manufacturing applications: Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization. * Engineer for complexity and scale: Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference. * Integrate with factory-floor systems: Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time. * Bridge AI and human decision-making: Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action. * Own the full-stack: Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences. * Ship in real-world production environments: Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure. * Iterate quickly in a high-uncertainty domain: Prototype, test, and refine solutions based on direct user feedback and real-world performance data. Bachelor’s degree in computer science, information technology, software engineering, or a related field. One year of experience as a Software Engineer or Developer or related that includes the following: * 0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production. * Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar). * Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies. * AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX. * Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems. * Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices. Salary: $136,000 – $160,000/year

We offer professional services and innovative solutions that streamline business and government. Position Description The Power Platform developer will be a member of an Agile development team supporting the design, development, implementation, and enhancement of custom applications using Dynamics 365 and Power Apps Model Driven frameworks. Responsibilities include the following: • Support grooming of user stories and authoring design artifacts., • Perform as a developer for the delivery of Dynamics 365 / Model-driven Power Apps configuration, custom development, development of Azure cloud services, and development of integrations with external systems, • Perform design and development of full-lifecycle development efforts which are based on Microsoft Power Platform and supporting Azure Cloud services Required Skills • At least 8 years of total IT experience performing complex application development projects on the Microsoft stack working closely with cross-functional Team Members in Agile Development environment., • At least 5 years of hands-on development experience with Dynamics 365 / and/or Model-driven Power Apps, • Experience developing customizations using .NET, JavaScript, HTML, CSS, and jQuery., • In-depth hands-on knowledge of the Microsoft Dynamics platform, the entity model, and security model., • In-depth hands-on knowledge of Canvas and Model Driven applications, PCF controls, and Dataverse., • Hands-on experience architecting solutions that involve Dynamics customization to include server-side code, custom business logic, integration modules, workflow assemblies and plug-ins., • Excellent client-facing written and oral communications skills., • Project experience on large development efforts for the Federal Government, • Experience utilizing Azure Services to support Power Platform solutions (e.g., Functions, Service Bus, Key Vault, Blob Storage, Data Factory), • Exposure to SharePoint Online configuration and light development, • Microsoft certifications Procentrix is an Equal Opportunity employer and does not discriminate on the basis of race, color, religion, gender, national origin, age, marital or veteran status, the presence of a non-job related medical condition or handicap, or any other legally protected status.

Job DescriptionDuties/ResponsibilitiesDesign and implement generative, agentic, predictive, and autonomous AI and machine learning solutions using Azure Foundry AI, including model selection, prompt engineering, RAG patterns, and responsible AI governance.Develop end-to-end data and AI pipelines in Microsoft Fabric and Copilot Studio, leveraging Data Factory, Synapse Data Engineering, OneLake, Real-Time Analytics, and AWS Redshift.Build and extend Microsoft 365 Copilot and custom Copilot agents using Copilot Studio, Graph connectors, and plugins to automate business processes.Integrate Azure OpenAI, Azure AI Search, and Azure AI Document Intelligence into line-of-business applications and intranet experiences.Architect semantic models, lake houses, and data warehouses in Microsoft Fabric to support AI workloads and analytics.Develop secure APIs and orchestration layers using Azure Functions, Logic Apps, and API Management to expose AI capabilities.Implement MLOps/LLMOps practices for model deployment, monitoring, evaluation, and versioning using Azure Machine Learning and Azure DevOps.Collaborate with business stakeholders to identify high-value AI use cases, define success metrics, and deliver POCs and production solutions.Ensure compliance with data privacy, security, and responsible AI standards, including content filtering, grounding, and auditability.Provide technical documentation, architecture diagrams, and knowledge transfer to LIPA staff.Assume project management duties, including planning, scheduling, monitoring, and presenting project status to stakeholders throughout the project lifecycle.Troubleshoot and optimize performance, latency, and cost of AI solutions in Azure.Qualifications • 8+ years of experience in software engineering, data engineering, or AI/ML solution development in enterprise environments., • 5+ years of hands-on experience with Microsoft Azure AI services, including Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Azure AI Foundry, and Copilot Studio., • 3+ years of experience with Microsoft Fabric, including OneLake, Data Engineering, Data Science, and Real-Time Intelligence workloads., • 3+ years of experience building Microsoft 365 Copilot extensions, Copilot Studio agents, Graph connectors, and Teams message extensions., • Strong proficiency in Python, C#, or TypeScript for AI application development and API integration., • Experience implementing RAG architectures, vector databases, embeddings, and prompt flow orchestration., • Proven knowledge of MLOps/LLMOps, CI/CD for ML, model monitoring, and Azure DevOps or GitHub Actions., • Familiarity with Microsoft Purview for data governance, Microsoft Entra ID for identity, and Azure security best practices., • Experience with Power Platform integration, including Power Automate and Power Apps, to operationalize AI outputs., • Bachelor’s degree in computer science, Data Science, Engineering, or related field, or equivalent work experience., • Relevant Microsoft certifications preferred: AI-102, DP-600, PL-300, or AI-900.

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 Overview We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets. The ideal candidate will have hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Warehouse, and Power BI), strong data engineering fundamentals, and the ability to support advanced analytics and AI initiatives. Key Responsibilities • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks), • Implement and manage Medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, governance, and usability, • Ingest, transform, and integrate data from multiple structured and unstructured sources, • Optimize data workflows for performance, scalability, and cost efficiency, • Build and maintain Lakehouse and Data Warehouse solutions within Fabric, • Ensure data reliability through monitoring, logging, and error-handling mechanisms, • Collaborate with stakeholders to translate business requirements into scalable data solutions, • Enforce data governance, security, and compliance best practices, • Document data models, pipelines, and system architecture, • Contribute to roadmap planning and platform evolution Database & Power BI Oversight • Design enterprise-grade data models optimized for Power BI and analytics workloads, • Oversee creation and management of semantic models and datasets within Fabric, • Oversee dataset performance, refresh strategies, and capacity management in Power BI, • Implement data modeling best practices (star schema, normalization where appropriate), • Support development of dashboards and reports by providing curated, high-quality datasets, • Manage access control, row-level security (RLS), and data lineage visibility, • Manage Power BI capacity, dataset refresh strategies, and scalability considerations, • Collaborate with BI developers to optimize DAX performance and reporting efficiency, • Monitor usage and adoption metrics to improve data accessibility and usability AI Readiness & Advanced Analytics • Prepare and structure data to support AI/ML use cases within Microsoft Fabric and Azure ecosystem, • Enable feature engineering by delivering clean, enriched, and well-governed datasets, • Support integration with AI tools such as Azure Machine Learning, Fabric Data Science, and Copilot experiences, • Implement data pipelines that support real-time or near real-time analytics where needed., • Ensure datasets are scalable and aligned with AI model training requirements., • Promote best practices for data versioning, reproducibility, and experimentation. Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field., • 7+ years of experience in data engineering or related roles., • Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI)., • Strong expertise in Medallion architecture and modern data lake/lakehouse patterns., • Proven experience building and maintaining data pipelines (ETL/ELT)., • Proficiency in SQL, Python, and/or Spark., • Experience with Lakehouse architectures and distributed data processing., • Strong understanding of data modeling and data warehousing concepts. Desired Skills & Competencies • Experience with OneLake, Delta Lake, and Fabric-native workloads., • Experience with Data Agents, Copilot Studio and Microsoft Foundry, • Familiarity with CI/CD pipelines for data solutions., • Power BI adoption and user satisfaction across business units., • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention Key Competencies • Strong problem-solving and analytical thinking, • Attention to detail and data quality focus, • Ability to work cross-functionally with technical and business teams, • Excellent communication and documentation skills, • Continuous learning mindset in evolving data and AI technologies 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

Benefits: • Short term/Long Term Disability Insurance, • 401(k), • 401(k) matching, • Bonus based on performance, • Competitive salary, • Dental insurance, • Health insurance, • Paid time off, • Vision insurance Position Overview: We are seeking for a suitable Interface/Integration Developer for one of our Federal clients. Applicants must have 3 years of experience of interface or integration for a large scale enterprise system and proficiency with coding and tuning SQL in an Oracle or SQL Server database context. Strong problem-solving, troubleshooting, and written and oral communication skills. Ability to work both independently and with a team to solve problems. Self-starter. Quick to learn and put new skills to use. Ability to efficiently and effectively handle multiple and shifting priorities while meeting deadlines. Flexibility to put in hours needed to meet tight deadlines. This is a fully remote position for a long-term Federal contract. US citizenship is required for this position. Required Qualifications and Skills: • Knowledge of financial/acquisitions systems implementations., • Experience implementing Agile methodologies., • Technical experience working Momentum Financials and the Momentum database., • Understanding of Momentum tables and relationships and the technical components used to convert from legacy systems to Momentum, specifically approaches to data mapping, PL/SQL, Momentum Form Import and GSOffline processes., • Experience working with Red Hat JBoss Enterprise Application Platform and Red Hat Fuse., • Experience implementing system integrations within an Enterprise Service Bus, including management of web-services and file-based interactions with legacy systems., • Web Services development using SOAP, XML, WSDL, WS-Security, and/or JSON. Experience developing and deploying services in Red Hat OpenShift or other container platforms., • Development experience with Java, Python, or other modern programming language., • Expertise in developing interfaces and/or executing large-scale data conversions., • Strong understanding of data reconciliation or migration across a variety of data platforms, formats and technologies., • Experience with Microsoft or Azure Data services, such as Power BI, Azure SQL, SSAS, Synapse, or Azure Data Factory., • Experience with Data Analytics or Data Cleansing tools and services., • SharePoint development experience., • Bachelor’s Degree and a minimum 3 years of relevant experience., • Additional experience may be substituted in lieu of education., • Must have the ability to pass a Tier 2 MBI background investigation., • Experience working with the Momentum Financials front-end and database., • Experience supporting the development of interfaces and/or a large-scale data conversion., • Experience with OpenShift, Maven, Apache Camel, GitHub, and REST APIs., • Understanding of Agile methodologies., • BA/BS or equivalent and three years of applicable experience.What We Offer:, • Competitive salary and comprehensive benefits package, • Free Medical, Dental, Vision, and STD/LTD/Life insurance, • 3% non-contributory 401K This is a remote position. Compensation: $110,000.00 - $160,000.00 per year Tech Soft Inc. is an information technology services company that is minority and women owned, providing innovative business solutions to federal government end clients like DoD, FBI, U.S. Air Force, etc; transforming business through innovation leveraging Information Technologies; it delivers hi-tech services, consulting, and systems integration, performance testing and technical automation testing. Our expertise covers a wide range of specialisms and we are always seeking new opportunities and innovations. Tech Soft Inc. offers advanced consultation services in Enterprise Resource Planning and Systems Integration, Digital Signature implementation, DevSecOps, Performance Testing, Technical Test Automation and Deployment Automation. We help clients deliver innovation to their customers and improve cost and effectiveness by leveraging Information Technologies. We provide advisory services and expertise so that our clients keep control of their processes and projects, can customize as much as required by directly managing the resources provided and keep ownership of their assets and systems. Our three practices: Business Innovation, Operational Excellence and IT Leadership offer a range of cost effective transformation and innovative solutions tailored to Federal ERP and other sectors.

___ is an ___ that supports mission-driven organizations. Our work spans community and economic development, community health, arts and historical institutions, and organizations fostering inclusive communities. We believe technology can be an effective vehicle for change. * Our mission: to help nonprofit organizations grow and thrive. * Our values: be transparent and honest; be fair and accountable; be independent and objective; and be good to our staff, our communities, and the world. We are seeking a Technical Consultant to join our Technical Services team who will bring these same values and passion to help nonprofit organizations. A Technical Consultant is a client-facing full-time salaried intermediate-level position. As a Technical Consultant, you will serve as a bridge between technical solutions and client needs, combining hands-on development expertise with strong communication and consulting skills. Your primary focus will be designing, developing, and deploying Salesforce solutions while working directly with clients to understand their business requirements and translate them into effective technical implementations. You will be responsible for building solutions using both declarative and programmatic approaches on the Salesforce platform, including Apex, Lightning Components, and JavaScript. Beyond Salesforce, you will leverage related technologies such as Azure, Python, SQL, and TypeScript to create integrated solutions that support our nonprofit clients' missions. You will also work with Business Intelligence tools to help clients make data-driven decisions and participate in cross-functional teams to deliver comprehensive technology solutions. All members of our team cross-train in areas of technology, knowledge management, and project management, and are expected to work directly with clients. In addition to development tasks, you will participate in client-facing requirements gathering, solution design, technical demonstrations, testing, data migrations, documentation, and other project work necessary to implement technology with nonprofits and social sector organizations. * Collaborate with clients, business analysts, technical analysts, and project managers to gather requirements, understand business objectives, and design technical solutions that align with organizational goals. * Design and develop Salesforce solutions using declarative tools (Flows, Process Builder, Validation Rules) and programmatic tools (Apex, Lightning Web Components, Visualforce). * Build and maintain integrations between Salesforce and external systems using REST, SOAP, and other API protocols, leveraging Azure services and custom development as needed. * Develop data migration strategies and execute data transformations using SQL, Python, and Salesforce data loader tools to ensure accurate and efficient migrations from legacy systems. * Create and configure Business Intelligence dashboards and reports using tools such as Power BI or Tableau to provide clients with actionable insights. * Implement version control best practices using Git and participate in CI/CD processes to ensure quality deployments and maintainable codebases. * Present technical solutions to clients through written documentation, demonstrations, and video conferencing, adjusting approaches based on client feedback and evolving requirements. * Perform code reviews, testing, and quality assurance activities to ensure solutions meet technical standards and client expectations. * Provide post-deployment support and troubleshooting for implemented solutions, working with clients to resolve issues and optimize performance. * Support the professional development of other technical staff in your areas of expertise via formal and informal training, coworking, and serving as an escalation resource. * Stay current with Salesforce releases, platform updates, and emerging technologies in the nonprofit technology ecosystem, recommending enhancements and improvements to clients. * Work collaboratively with cross-functional teams including Business Analysts, Solution Architects, and Customer Success Managers to deliver comprehensive solutions. * 2+ years of relevant experience in Salesforce development and/or technical consulting roles * Salesforce Administrator and Platform Developer I certifications (or ability to obtain within 6 months of hire) * Demonstrated proficiency with Apex, Visualforce, and Lightning Components * Working knowledge of SQL and experience with data manipulation and transformation * Experience with version control systems (Git) and basic understanding of CI/CD concepts * Strong problem-solving abilities and creative thinking skills * Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical audiences * Experience working directly with clients or stakeholders in a consulting or customer-facing capacity * Commitment to working in the nonprofit sector * Additional Salesforce certifications such as Advanced Administrator, Platform Developer II, or Nonprofit Cloud Consultant * Experience with Python, JavaScript/TypeScript, or other high-level programming languages * Hands-on experience with Azure services (Azure Data Factory, Azure Functions, Azure Logic Apps) * Experience with Business Intelligence tools such as Power BI, Tableau, or similar platforms * Demonstrated experience with DevOps practices and tools (CI/CD pipelines, automated testing, deployment automation) * Knowledge of integration patterns and enterprise architecture best practices * Experience participating in full application lifecycle from requirements to deployment and support * Prior experience working with nonprofit organizations * Strong project management skills and ability to manage multiple client engagements simultaneously * $80,000 - $110,000 * Boston, MA (hybrid) or virtual (contiguous US) * Company-supported medical, dental, vision * Company-provided short- and long-term disability * 401k & Roth IRA retirement options with a company match (available 90 days after hire date) * Employee ownership (engaged 6 months or 1,000 hours after hire date) * 4 weeks accrued paid-time-off (PTO) per year * 10 paid company holidays and 2 paid floating holidays (individual's choice) per year * CTG's commitment to professional development and advancement * Work culture aiming toward work/life balance * Applicants must be eligible to work in the US. H1-B sponsorship is not available. * Our headquarters is in Boston, MA and we have a strong virtual culture with staff located throughout the contiguous United States. We are unable to hire candidates living outside the United States. * Direct applicants only; no recruiters.

Job Description Summary #LI-Hybrid This role is responsible for building the tools, frameworks, and accelerators that enable the organization to scale AI, ML, and data science capabilities efficiently through automation and reusability. By transforming manual, one-off analytics into automated, production-grade solutions that can be reused across multiple use cases, this leader dramatically increases the speed and consistency of analytics delivery while reducing technical debt and enabling citizen data scientists to leverage enterprise-grade. This position will be located at the East Hanover site and will not have the ability to be located remotely. This position will require 20% travel as defined by the business (domestic and/ or international). Job Description Key Responsibilities • Design and implement workflow automation solutions for AI/ML and analytics processes (Airflow, dbt, Azure Data Factory)., • Build CI/CD pipelines for data science code, enabling automated testing, deployment, and monitoring of ML models., • Design MLOps infrastructure to streamline the model development, validation, and deployment lifecycle., • Build and maintain a library of reusable AI/ML components (feature engineering modules, model templates, prediction pipelines, visualization templates)., • Create standardized notebooks, scripts, and dashboards for common data science use cases that can be easily adapted for new projects., • Build tools and platforms that enable business users and citizen data scientists to access AI/ML capabilities without engineering support., • Implement automated testing frameworks for data science code (unit tests, integration tests, model validation tests, regression tests)., • Advanced degree in Computer Science, Data Science, Statistics, or related field; or Bachelor's degree with 8+ years relevant experience., • 8+ years of experience in analytics engineering, data engineering, or software engineering roles., • 3+ years of experience leading technical projects or small teams., • Experience with workflow orchestration tools (Airflow, Prefect, dbt) and CI/CD tools (GitHub Actions, Jenkins)., • Knowledge of MLOps principles and tools (MLflow, Kubeflow, SageMaker)., • Experience with testing frameworks and code quality tools., • Excellent documentation and communication skills. Desired Requirements: • Experience in pharmaceutical, healthcare, or regulated industries., • Background in both analytics/data science and software engineering best practices., • Creative problem-solver who can identify opportunities for automation and reusability., • Strong systems thinking with ability to design scalable, maintainable solutions., • Experience building internal tools and platforms used by diverse user groups including citizen data scientists. Novartis Compensation Summary: The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $145,600.00 - $270,400.00 Skills Desired Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions that support business analytics and operational reporting. The ideal candidate will have strong expertise in SQL, data modeling, and cloud-based data platforms, with the ability to build efficient data pipelines and optimize database performance. *The schedule is 4 days in the office in Montvale, NJ and 1 day remote. Required Qualifications: Education • Advanced SQL expertise with 5+ years of experience, including window functions, common table expressions (CTEs), and query optimization., • Strong knowledge of relational database management systems (RDBMS) and data modeling principles., • Experience working with cloud-based data platforms, particularly Azure Data Services and modern data warehouse technologies., • Proficiency in Python for scripting, automation, and data manipulation., • Strong analytical and problem-solving abilities., • Excellent communication skills with the ability to collaborate across technical and non-technical teams., • Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications • Experience working with NoSQL databases such as Cosmos DB or MongoDB., • Familiarity with big data frameworks including Apache Spark or Kafka., • Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate or Google Professional Data Engineer. Tools & Technologies • SQL development environments such as DBeaver and SSMS, • Cloud management consoles, • Git for version control, • Jira for project and workflow management, • SSIS and related ETL technologies Industry • Leasing

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.

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.

About the role: Gartner Analysts are industry thought leaders who create must-have insights, market predictions and best practices for a broad range of world-leading organizations. A VP serves as a leader within Gartner's Business and Technology Insights (BTI) group, establishing oneself as a credible voice within their designated market at local, regional and global levels. Utilizing exceptional research and analytical skills, a Senior Director plays a significant role in producing pragmatic and provocative insights which Gartner clients consume and apply to propel their business toward key objectives. They are a trusted source of advice for clients, reinforcing Gartner's value every day by engaging them via in-person meetings, virtual meetings, sales support visits and Gartner conferences to discuss complex client challenges and offer appropriate recommendations. In this role, you will provide strategic guidance on AI infrastructure to senior IT and business leaders, authoring insights and frameworks to address enterprise AI adoption. You'll collaborate across teams to integrate AI technologies into on-premises, hybrid, and edge environments, delivering tailored insights to Heads of Infrastructure & Operations and executive stakeholders. This role requires expertise in designing, deploying, and managing highperformance AI compute infrastructure, including GPU clusters, AI servers, robotics platforms, and cloudbased AI environments, along with proficiency in industrystandard frameworks and emerging AI technologies. What you will do: * Create innovative, thought provoking, and highly leveraged "must-have insight" content * Develop new insights and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act * Develop in-depth analysis to identify the root cause of a client's barriers or overall needs and reframe thinking to drive strategy forward * Demonstrate thought leadership in establishing insight positions across a team of analysts * Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda * Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights * Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions * Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings * Support BTI and Sales: Provide sales support serving as voice of the market to help Insights teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business * Provide high quality and timely content peer review * Build credibility as an industry expert to represent Gartner insights, methodology and strategy * Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the Insights community * Identify research process improvements or develop new processes that help the team and BTI provide excellent service delivery * Be a mentor and a coach by supporting more junior team members * Be client-centric while actively seeking to help clients engage regularly and often with Gartner insights and interactions What you will need: * Bachelor's degree or equivalent experience; Graduate degree preferred * 15+ years of industry experience with a focus on emerging technology and business adoption scenarios to senior IT leaders. * Deep expertise in one or more of the following: AI-optimized data center technologies; AI servers and AI Factory architectures; GPUs, ASICs and AI accelerators; Cloud and as-a-Services AI infrastructure (Such as AWS, Azure, Coreweave, Nebius); AI infrastructure frameworks, such as operating systems, resource managers, and AI runtimes. * Knowledge of major and emerging vendors with the potential to disrupt the market. * Technical understanding of supercomputing approaches. * Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders * Strong organizational skills; ability to work under tight deadlines and produce high quality deliverables * Demonstrate excellence in research and writing ability * Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions * Proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges * Strong communicator who is able to explain complex concepts concisely and simply * Subject matter expert comfortable presenting at large and small-scale speaking engagements * Strong business and financial acumen * Deep knowledge of the global and competitive landscape within subject area as well as the interplay in that market * Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team * Learning agile and adept with navigating highly matrixed environments * Ability to represent Gartner's research methodology and strategies effectively at all levels * Willingness and ability to travel up to 25% (where applicable) #LI-SH2 #LI-Remote Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 194,000 USD - 234,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to___. Job Requisition ID:108495 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ___ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Senior Technology Site Reliability Engineer Cooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam. Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have 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: • Monitor and maintain production systems to ensure high availability and performance, • Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets, • Participate in on-call rotations and incident response, including root cause analysis and postmortems, • Develop and maintain infrastructure as code (IaC) using Terraform, • Automate deployment, scaling, and recovery processes to reduce manual intervention, • Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery, • Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.), • Proactively identify and resolve system bottlenecks and reliability risks, • Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle, • Contribute to a culture of blameless post-mortems and continuous improvement, • Document operational procedures and share knowledge across teams, • 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, • 6+ years direct applicable experience (e.g. site reliability engineering or related field), • Proficiency in Terraform and programming languages such as Python, Go, or Java, • Deep expertise in cloud platforms, particularly AWS, and container orchestration, • Strong background in distributed systems, performance tuning, and automation, • 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, • Experience with IaC deployment of AKS/EKS/GKE architecture, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work independently and 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 EOE. The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. 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.

Location: Telecommute (with occasional travel to Springfield, IL) Rate: depending on experience Job Summary: We are seeking a highly experienced Informatica Extract Transform Load (ETL) Developer to join our Enterprise Data Warehouse (EDW) team. This role is responsible for designing, developing, and maintaining robust ETL processes using Informatica PowerCenter and Teradata. The ideal candidate will have a deep understanding of data integration, performance tuning, and data warehousing best practices, with a focus on supporting healthcare-related data systems. Required Qualifications: • 7+ years of experience with Informatica PowerCenter and ETL development., • 5+ years of experience writing complex SQL and performance tuning., • 5+ years of experience with Teradata (v17+), including Fastload, TPT, and Multiload utilities., • 5+ years of Informatica PowerCenter administration experience., • 2+ years of Unix Shell (Bash/Korn) scripting experience., • Strong communication, collaboration, and mentoring skills., • Bachelor’s or advanced degree in IT, Computer Science, Mathematics, or a related field., • Strong organizational and time management skills. Preferred Qualifications: • Residing in or near Springfield, IL., • 5+ years of data warehouse development experience., • 5+ years of data modeling experience using ERWIN or similar tools., • 2+ years of experience with Azure Data Factory and Snowflake., • Experience with scripting languages such as Python, R, or JavaScript (React)., • Familiarity with Informatica Data Quality (IDQ), Address Doctor, and Metadata Manager., • Experience with Medicaid, Medicare, or healthcare data systems., • Experience working in Agile environments. Key Responsibilities: • Administer and support ETL environments, including development and production systems., • Perform repository backups, recovery operations, and system maintenance., • Monitor and troubleshoot ETL jobs across development, testing, and production environments., • Participate in unit, integration, and system testing., • Provide technical support, mentoring, and guidance to team members., • Communicate project status and deliverables to leadership and clients.

This role involves developing end-to-end data ingestion processes using Azure Data Factory and Databricks, ensuring data governance, quality, and security. A leading financial management service provider is seeking an experienced Azure Data Engineer to design and optimize scalable data pipelines wit

Job Title - Delivery Lead Location - Jersey City (3-4 days per week) Salary - Up to 150k Responsibilities: • Oversee and drive the delivery of end-to-end projects focused on analytical applications and Generative AI solutions. • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices. • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables. • Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions. • Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals. • Take ownership of release planning, change management, and stakeholder engagement to ensure project success. • Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines. Technical Expertise: • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration. • Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services. • Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation. • Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures. • Application Development: Expertise in developing event-driven and microservices based architectures using Java, Python, and modern frameworks. • CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation. • Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing. • Security & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation. Must Have: • Proven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives. • Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event driven architectures and streaming data solutions. • Strong leadership experience in managing teams and delivering complex projects in Agile environments. • Proficiency in integrating Generative AI solutions into existing platforms and workflows. • Excellent communication and stakeholder management skills to collaborate across diverse teams.

Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success;. Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc. You will assist clie

Azure Data Engineer to drive data integration and migration initiatives across enterprise platforms. A leading technology company is seeking a Sr. The ideal candidate will lead projects involving Informatica PowerCenter and Azure Data Factory, ensuring high-quality data solutions and team collaborat

A comprehensive understanding of data warehousing and data processes and the supporting technologies such as Databricks, Azure Data Factory, Data Lakes, other analytics products. The Enterprise Data Architect is responsible for designing, developing, and governing the organization’s data architect

Proficiency with Azure/Power Platform Data technologies: Data Factory, Data Lake Storage, SQL Database, Synapse Analytics, Purview, etc.

The SQL Database Administrator will be responsible for managing DOE application databases supporting Galaxy Systems, Enterprise Application Systems, and Vendor Portal Systems. Proficiency in SQL Server 2016+ version, T-SQL performance tuning, SSIS, Azure Data Factory, and ETL workflow design. Design

Strong expertise in Informatica PowerCenter, Teradata, SQL Server, Azure Synapse, and Azure Data Factory. Implement ETL processes using Informatica PowerCenter and optimize performance across Teradata, Azure Synapse, and SQL Server environments. Develop and maintain Azure Data Factory (ADF) pipeline

This hands-on technical role requires proven experience and knowledge of data warehousing and IBM Cognos business intelligence, with emphasis on data architecture, sourcing, reporting and analytics through project lifecycles. Azure: Data Factory, SQL Database, Managed Instance, Data Lake Storage. Th

Strong proficiency in Python and SQL for data processing and pipeline development. Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or similar platforms. The technology division plays a critical role in driving data transformation initiatives across the Americas, suppo

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.

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.