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The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Enterprise Data Integration Architect is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility. Essential Functions • Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems., • Implement and enforce data quality and governance standards to ensure the accuracy and consistency., • Provide input for project plans and timelines to align with business objectives., • Monitor project progress, identify risks, and implement mitigation strategies., • Work with cross-functional teams and ensure effective communication and collaboration., • Provide regular updates to the management team., • Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure., • Communicates and promotes the code of ethics and business conduct., • Ensures completion of required company compliance training programs., • Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies., • Stays current through personal development and professional and industry organizations. Responsibilities • Design and implement data integration solutions to automate data flow between systems and databases., • Optimize existing data workflows and processes to improve efficiency and scalability., • Designs and develops data automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services., • Design, build, and maintain automated data pipelines and ETL processes, ensuring scalability and reliability in data operations., • Ensures the quality, security, and compliance of the data automation solutions and the data sources., • Monitors and troubleshoots the data automation solutions, resolving any issues or errors., • Provides training and support to the end users of the data automation solutions., • Document technical specifications, processes, and procedures related to data automation. Qualifications • A bachelor's degree or equivalent experience in computer science and information systems., • Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.), • Strong knowledge in Integration Platform as a Service (iPaaS), such as Boomi, MuleSoft, etc., • Experience working in hybrid environments (cloud/on-premise)., • Experience with enterprise integration patterns, APIs (REST/SOAP), and message brokers (e.g., Kafka, Pub/Sub)., • Strong knowledge and skills in data automation technologies, such as Python, Cloud data pipelines, ETL/ELT, SQL, etc., • Proficiency in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage., • Experience with workflow orchestration tools such as GCP Cloud Composer or Airflow., • Strong knowledge and skills in data management, data quality, and data governance., • Proficiency with DevOps practices for data (CI/CD pipelines), • Proficiency in project management software (e.g., JIRA, Clarizen, etc.), • Hands-on experience with Alteryx and IBM DataStage is a plus., • Experience in extracting and integrating data from SAP is a plus., • Familiarity with data modeling tools., • Familiarity with BI visualization tools such as Microstrategy, Power BI, Looker, or similar., • Strong communication, collaboration, and problem-solving skills., • Ability to work on multiple projects and prioritize tasks effectively., • Ability to work independently and in a team environment., • Ability to learn new technologies and tools quickly., • The ability to handle stressful situations., • Highly developed business acuity and acumen., • Strong critical thinking and decision-making skills. Working Conditions & Physical Demands • This position requires in person office presence at least 4x a week. WE ARE AN EQUAL OPPORTUNITY EMPLOYER, COMMITTED TO A DIVERSE WORKFORCE THAT REFLECTS THE COMMUNITIES WE SERVE.

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. Summary The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases. Essential Functions • Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems., • Define architecture standards and best practices for data warehousing and cloud infrastructure., • Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity., • Provide input for project plans and timelines to align with business objectives., • Monitor project progress, identify risks, and implement mitigation strategies., • Work with cross-functional teams and ensure effective communication and collaboration., • Provide regular updates to the management team., • Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure., • Communicates and promotes the code of ethics and business conduct., • Ensures completion of required company compliance training programs., • Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies., • Stays current through personal development and professional and industry organizations. Additional Functions • Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure, Google Cloud, AWS., • Implement robust security measures to ensure data privacy and comply with regulatory standards., • Leverage cloud-native automation tools to streamline data management and reduce manual processes., • Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations., • Design and implement data integration solutions to automate data flow between systems and databases., • Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services., • Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors., • Provides training and support to the end users of the cloud solutions., • Maintain detailed architecture documentation and best practices for the organization’s data cloud infrastructure., • Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions., • Understands cloud FinOps including chargeback and alert monitoring Qualifications • 5+ years of experience in cloud data warehouse design, cloud computing, and data architecture., • A bachelor's degree or higher in computer science, information systems, or a related field., • Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.), • Knowledge of data security, encryption, and compliance in cloud environments., • Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms), • Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc., • Experience with data modeling tools., • Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar., • Strong knowledge and skills in data management, data quality, and data governance., • Strong communication, collaboration, and problem-solving skills., • Ability to work on multiple projects and prioritize tasks effectively., • Ability to work independently and in a team environment., • Ability to learn new technologies and tools quickly., • The ability to handle stressful situations., • Highly developed business acuity and acumen., • Strong critical thinking and decision-making skills. Working Conditions & Physical Demands • This position requires in-person office presence at least 4x a week.

Job Description COMPANY OVERVIEW: Sampled is a fully integrated laboratory and biorepository with industry-leading storage, sample management, multiomics, cellular services, and custom clinical kitting. Founded in 1999 as RUCDR at Rutgers University, Sampled operates facilities in the US and UK and is CAP accredited and CLIA licensed. Sampled is committed to providing the highest quality sample storage, processing, and analysis services that enable researchers to make new discoveries and advance human health. When combined with state-of-the-art biobanking facilities, these capabilities provide comprehensive scientific solutions that speed time to quality data. Sampled is committed to building a sustainable, inclusive and diverse culture where team members enjoy equal opportunities in a safe, supportive and empowering environment. Sampled believes that as an organization we have a duty to be actively engaged in supporting not just the clients and industries we serve but the communities where we live and work. POSITION SUMMARY: This business critical role leads a multi-disciplinary core bioinformatics team focused on building and maintaining world-class computational biology and bioinformatics capabilities. The successful candidate will report directly to the CIO and collaborate with a diverse and interdisciplinary team of scientists and engineers to generate and implement impactful products and services which meet client needs. As leader of bioinformatics development, the Sr Director of Bioinformatics will design and implement NGS sequencing data analysis pipeline, and other bioinformatics and AI tools. The director will collaborate with research and development teams to provide support for assay development, validation, and commercialization for genomics, proteomics, and precision medicine research. There will be a focus on providing support for data analysis and data delivery by automating manual processes and building reliable computing infrastructure in the cloud and on premises. The director will evaluate new bioinformatics and deep learning technology and provide adoption strategy for company growth. Additionally, this leader will research and develop Bioinformatics and Data as a Service to enhance Sampled’s product portfolio offering. This position will be based onsite at Sampled’s Headquarters in Piscataway, New Jersey, minimum 3 days per week. RESPONSIBILITIES: Lead and develop the core bioinformatics team(s) and serve as a mentor for other bioinformatics and/or software developer staff members on analysis approaches and best practices. Leverage leadership skills and experiences to continuously improve the function, including talent, structure, processes, tools, and techniques Lead and execute product strategy and service roadmap. Lead and manage internal challenges / conflicts at enterprise scale and complexity, working in partnership and collaborating with lab services. Successfully and closely collaborate with clients and program managers in leading the design, implementation and refinement of the tools, methods and pipelines. Work with research and development teams to participate in project planning and design plan for bioinformatics development, execution, and test/validation. Ensure products meet regulated and/or clinical validated products requirements; for example, GxP, CLIA or CAP environments. Ensure all change controls follow quality control software development best practice, SOPs and regulatory requirements. Daily focus of self on bioinformatics tool development needs of NGS pipeline, microarray data analysis and process automation. Analyze R&D data for assay development and other research needs. Perform tool validation and generate validation reports. Troubleshooting of bioinformatics tool issues. Provide support for daily data analysis and data delivery. Evaluate third party bioinformatic tools, perform proof-of-concept test, and provide adoption and integration strategy. Develop new solutions including data analysis pipeline using Python, Nextflow and WDL Working with IT, develop and implement data storage and backup plan and support company growth. Be a proactive member of Sampled’s Global Senior Leadership Team (SLT), maximizing internal communication and team work opportunities, and ensuring personal accountability and ownership to deliver on commitments. Build a positive culture, and be an active champion and role model of Sampled Core Values: Strive to delight our clients, Move innovation forward, Accelerate your business, Rise together as a team, Transcend what is possible. POSITION REQUIREMENTS: Ph.D. degree in Bioinformatics, Computational Biology, Engineering, Computer Science, and other related fields with minimal five years biotech and/or pharmaceutical experiences or Master’s degree minimal eight years biotech and or pharmaceutical experiences. 7+ years experience leading Bioinformatics teams at Director level or above, including managing remote based team members. Excellent leadership skills and the ability to set direction and develop the team. Strategic mindset and high business acumen. High level of project management and cross-functional collaboration skills, with the ability to build relationships and trust across the organization. Ability to drive change and engagement. · Demonstrates consistently good communication and interpersonal skills with colleagues, management and clients. Strong stakeholder management skills internally and externally, with ability to build relationships, resolve conflict, navigate through challenges and influence outcomes. A minimum of 3 years CLIA lab experience for genetic testing. Scientific experiences in genomics, proteomics, and precision medicine with proof of publications. Expert experiences in NGS pipelines design and development for germline and cancer variant detections with DNA and RNA panel, WES and WGS. Liquid biopsy and metagenomic bioinformatics pipeline development experiences. Applied machine learning and other AI technology in large scale of biological data analysis. Ideally, candidates will have the following technical experience: o AWS Engineering: 4 years o HPC and Linux: 8 years o Python Programing: 8+ years o Web Development: 3+ years · Strong Python programming skills including experiences with Pandas, Numpy, and machine learning functions. · PostgreSQL and MySQL databases, data modeling and database design, data ETL (Extraction, Transformation, and Loading) skills, SQL, and other data and database skills. Good software development practices, including code management using Git, JIRA, Confluence. · Experiences with workflow management tools such as Snakemake, Nextflow and WDL (Workflow Description Language) Strong organization skills, with attention to priorities, effectively meeting deadlines and responding in a timely manner. Ability to prioritize tasks and to delegate them when appropriate. Able to be site based in Piscataway, New Jersey, minimum 3 days per week. Salary range $180,000 to $230,000 plus bonus plan. Salary level will be reflective of qualifications, skills and experience. Sampled is an Equal Opportunity / Affirmative Action Employer (M/F/Disabled/Veteran)

Job Description InvestCloud is looking for a practical, detail-focused Data Engineer with a passion for financial data and a desire to grow into a hands-on Data Architect role. This is a great opportunity for someone early in their data career who enjoys working with real-world investment data, learning from experienced architects, and helping build the foundation for next-generation wealth technology. You’ll work on data pipelines, optimize SQL queries, model data for performance and scale, and gain exposure to both transactional systems and analytical workflows in the US wealth space. What does a Great Data Engineer do You’ll partner with engineers, product managers, and data architects to design, build, and maintain clean, scalable, and reliable data domains that power key digital experiences in wealth management. If you’re energized by structured data, interested in how trades, accounts, and positions come together behind the scenes—and want to sharpen your skills with modern cloud tools—this is your path. Principal Responsibilities • Design and maintain SQL-based schemas and pipelines for ingesting, transforming, and exposing wealth-related data (accounts, positions, transactions, performance)., • Support structured and unstructured data across file-based, relational, and NoSQL storage solutions—from raw landing zones to curated data marts., • Write efficient, well-structured SQL queries and scripts for ETL/ELT jobs, data validation, and data modeling., • Assist in building out data access layers that support APIs, reports, dashboards, and performance analytics., • Collaborate with data architects and engineers to implement data modeling and management best practices., • Work with QA and product teams to ensure data accuracy, completeness, and business alignment., • Contribute to data documentation and internal knowledge sharing to improve onboarding and reduce confusion. Preferred Skills & Experience, • 8+ years of experience in data engineering and/or ETL-focused roles., • Strong SQL skills and familiarity with relational databases (e.g., Oracle, Postgres, SQL Server, Snowflake)., • Solid understanding of data modeling and management principles, including data cataloging, dictionaries, canonicals, normalization, indexing, and performance tuning., • Interest in or exposure to US Wealth Management data, especially trades, positions, custodians, or portfolio accounting systems., • Eagerness to learn, collaborate, and grow your technical skills in a production environment. Preferred Qualifications, • Experience in the wealth or asset management industry., • Familiarity with financial data domains or vendors (e.g., custodians, CRMs, performance systems)., • Exposure to data pipeline tools (e.g., dbt, Airflow, Talend) and scripting languages (e.g., Python, Shell)., • Understanding of file-based formats (e.g., Parquet, JSON, CSV) and batch ingestion patterns., • Experience working in Agile/Scrum environments with tools such as Jira, Confluence, and Git.What Sets You Apart, • You care deeply about data lifecycle, quality, structure, maintainability, supportability, and traceability—not just getting the job done, but getting it right., • You’re curious about the business side of wealth data—why something is modeled a certain way and how it will be used. InvestCloud, a global leader in wealth technology, aspires to enable a smarter financial future. Driving the digital transformation of the wealth management industry, the company serves a broad array of clients globally, including Wealth and Asset Managers, Wirehouses, Banks, RIAs, and Insurers. In terms of scale, the company’s clients represent more than 40 percent of the $132 trillion of total assets globally. As a leader in delivering personalization and scale across advisory programs, including unified managed accounts (UMA) and separately managed accounts (SMA), the company is committed to the success of its clients. By equipping and enabling advisors and their clients with connected technology, enhanced intelligence, and inspired experiences, InvestCloud delivers leading digital wealth management and financial planning solutions, complemented by a dynamic data warehouse, which scale across the complete wealth continuum. In 2024, InvestCloud was named CNBC World’s Top Fintech Company, a proof point of the company’s commitment to innovation and client success. Headquartered in the United States, InvestCloud serves clients around the world. For more information, visit InvestCloud.com. Our Value • Client Connected, • Human Centered, • Technology Forward, • Respect + Integrity Invest Cloud is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law #LI-HJ1

Job Description The Senior Data Engineer will join InvestCloud’s newly formed AI, Data & Analytics team, whose mission is to drive increased value from the data InvestCloud captures to enable a smarter financial future for our clients focused on enhanced intelligence. This is a unique opportunity to shape the architecture and technical execution patterns of a greenfield ecosystem to create a next-generation advisor and client experience. The team is building for scale — the technology and infrastructure designed today will serve thousands of clients and petabyte-level data volumes. Core Stack • AWS as our cloud provider, • Oracle as our legacy data warehouse, • Snowflake as our next-generation data warehouse, • Mage AI for data ingestion and processing, • Kafka as our message bus, • Build reliable and scalable data pipelines and capabilities across the platform, and monitor and support the capabilities offered, • Construct complex architectures integrating multiple services, SaaS tools, and third-party data sources in a cloud-based environment, • Contribute to the team’s technical strategy and its execution through prioritization and delivery management, • Set and enforce high standards for documentation, testing, resiliency, monitoring, and code quality, • Drive efficiency, optimize cloud spend, reduce technical debt, and simplify code, infrastructure, and data models, • Write reusable and well-documented code that captures the essential nature of the solution, • Inspire and guide team members through design sessions, code reviews, and operational process ownership, • Promote data quality, governance, and security as core principles of the platform, ensuring compliance with relevant regulations Preferred Skills, Experience, and Education • Bachelor’s degree in Computer Science, Data Engineering, or a related field; advanced degree is a plus, • 6+ years of professional experience in Data Engineering, • Experience shaping the architecture of a mature cloud data platform (AWS, GCP, or Azure) designed for different consumer types and delivering measurable business value, • Hands-on experience building resilient batch (Airflow, Fivetran, Mage AI, Airbyte) and streaming (Kafka, Kinesis, Flink, Spark) data pipelines at scale (>1 TB/day), • Experience designing and implementing performant, reusable, and scalable data models in a cloud data warehouse (dbt, BigQuery, Snowflake) and with legacy ecosystems (Oracle, Postgres), • Proven experience running PoCs, leading large data or code migrations, and contributing to roadmap planning, • Ability to build and maintain infrastructure using IaC (Terraform, OpenTofu, Ansible), containerization (Docker), and CI/CD tools (Jenkins, GitHub Actions), • Experience with operational monitoring tools for data and infrastructure observability (Monte Carlo, Datadog, Prometheus), and incident management (PagerDuty, incident.io), • Proficiency in SQL and Python, with confidence applying them across data engineering tasks, • Strong communication and collaboration skills with both technical and non-technical stakeholders, • AI-proficient or AI-curious, with interest in using emerging technologies to enhance productivity InvestCloud, a global leader in wealth technology, aspires to enable a smarter financial future. Driving the digital transformation of the wealth management industry, the company serves a broad array of clients globally, including Wealth and Asset Managers, Wirehouses, Banks, RIAs, and Insurers. In terms of scale, the company’s clients represent more than 40 percent of the $132 trillion of total assets globally. As a leader in delivering personalization and scale across advisory programs, including unified managed accounts (UMA) and separately managed accounts (SMA), InvestCloud is committed to the success of its clients. By equipping and enabling advisors and their clients with connected technology, enhanced intelligence, and inspired experiences, InvestCloud delivers leading digital wealth management and financial planning solutions — complemented by a dynamic data warehouse that scales across the complete wealth continuum. In 2024, InvestCloud was named CNBC World’s Top Fintech Company, a proof point of the company’s commitment to innovation and client success. Headquartered in the United States, InvestCloud serves clients around the world. For more information, visit InvestCloud.com. Our Values • Client Connected, • Human Centered, • Technology Forward, • Respect + Integrity Salary Range: $190,000 – $220,000 Benefits include medical/Rx, dental, vision, disability, and life/AD&D insurance plans, Flexible Savings Account (FSA), Health Savings Account (HSA), Employee Assistance Plan (EAP), health advocacy, voluntary ancillary plans (accident, critical illness, hospital indemnity, legal, identity theft, auto/home, and pet insurance), 401(k) retirement savings plan with company match, and paid time off. #LI-HJ1

Job Description The Data Architect will join InvestCloud’s newly formed AI, Data & Analytics team, whose mission is to drive increased value from the data InvestCloud captures to enable a smarter financial future for our clients focused on enhanced intelligence. This is a unique opportunity to participate in building the data platform for a greenfield ecosystem, creating a next-generation advisor and client experience. The team is building for scale — the technology and infrastructure designed today will serve thousands of clients and petabyte-level data volumes. Key Responsibilities * Build reliable and scalable data pipelines and capabilities across the platform, with full ownership under mentorship of talented engineers * Design and support complex data models and architectures, tying multiple services, SaaS tooling, and third-party data together in a cloud-based environment * Promote data availability, accuracy, and coherence throughout its lifecycle, documenting models in relevant data management tools * Write well-rounded, reusable, and documented code that captures the essential nature of the solution * Maintain high standards across documentation, testing, resiliency, monitoring, and code quality * Ensure compliance with data quality, governance, and security across the platform, adhering to relevant regulations * Collaborate cross-functionally to enhance data processes, automation, and integration across teams Preferred Skills, Experience, and Education * Bachelor’s degree in Computer Science, Data Engineering, or a related field; advanced degree is a plus * 2+ years of professional experience in Data Engineering or a related discipline * Hands-on experience with cloud data platforms (AWS, GCP, or Azure) * Experience building resilient batch (Airflow, Fivetran, Mage AI, Airbyte) and/or streaming (Kafka, Kinesis, Flink, Spark) data pipelines * Developed data models in modern cloud data warehouses (Snowflake, BigQuery, dbt) and/or legacy ecosystems (Oracle, Postgres) * Exposure to Data Management platforms (DataHub, OpenMetadata, Atlas, Horizon) and developing data quality tests * Familiarity with Infrastructure as Code (Terraform, OpenTofu, Ansible), containerization (Docker), and CI/CD tools (Jenkins, GitHub Actions) * Strong skills in SQL and Python, with eagerness to deepen expertise * Demonstrated growth mindset, curiosity, and ability to thrive in a fast-paced, collaborative environment * AI-proficient or AI-curious, with interest in applying emerging technology to improve productivity Travel Required 0-10% About InvestCloud InvestCloud, a global leader in wealth technology, aspires to enable a smarter financial future. Driving the digital transformation of the wealth management industry, the company serves a broad array of clients globally, including Wealth and Asset Managers, Wirehouses, Banks, RIAs, and Insurers. In terms of scale, the company’s clients represent more than 40 percent of the $132 trillion of total assets globally. As a leader in delivering personalization and scale across advisory programs, including unified managed accounts (UMA) and separately managed accounts (SMA), InvestCloud is committed to the success of its clients. By equipping and enabling advisors and their clients with connected technology, enhanced intelligence, and inspired experiences, InvestCloud delivers leading digital wealth management and financial planning solutions — complemented by a dynamic data warehouse that scales across the complete wealth continuum. In 2024, InvestCloud was named CNBC World’s Top Fintech Company, a proof point of the company’s commitment to innovation and client success. Headquartered in the United States, InvestCloud serves clients around the world. For more information, visit InvestCloud.com. Our Values • Client Connected, • Human Centered, • Technology Forward, • Respect + Integrity Salary Range: $100,000 – $115,000 Benefits include medical/Rx, dental, vision, disability, and life/AD&D insurance plans, Flexible Savings Account (FSA), Health Savings Account (HSA), Employee Assistance Plan (EAP), health advocacy, voluntary ancillary plans (accident, critical illness, hospital indemnity, legal, identity theft, auto/home, and pet insurance), 401(k) retirement savings plan with company match, and paid time off. #LI-HJ1

Job Description Summary World Insurance Associates is a unique insurance organization offering top products and services from major providers, combined with attentive service from local agents. Founded in 2011, World is one of the fastest-growing insurance brokers in the U.S. with over 2,200 employees in over 260 offices across North America. We specialize in personal and commercial insurance lines, surety and bonding, employee benefits, financial and retirement services, and human capital management solutions. Our rapid growth and market leading presence has created opportunities throughout the state and we offer top talent the choice to work from one of our multiple offices throughout the region. Position Overview This position’s primary responsibility will be to provide technical expertise, coordinate day-to-day deliverables for the data analysis & data governance team and interpret and analyze large datasets. The candidate should be well versed in the fields of analytics, testing, programming, and development; able to research technologies independently to recommend appropriate solutions & should contribute to technology-specific best practices & standards; contribute to success criteria from design through deployment; contribute expertise on significant application components, program languages, databases, operating systems, testing phases etc. Key Responsibilities: • Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies, • Data cleansing and preparation, including cleaning and preprocessing raw data to ensure accuracy and reliability, developing and implement data quality standards and working with a team to integrate and automate data pipelines, • Create and maintain comprehensive dashboards and reports for key performance indicators, • Use visualization tools (e.g., Tableau, Power BI) to present complex data in an understandable format, • Self-motivated with ability to work effectively with limited supervision, enthusiasm for collaboration, continuous learning, and a team player., • Advanced Excel expertise (pivot tables, VLOOKUPS, Power Pivot, functions, etc.), • Understand importance of code review and automated testing and different levels at which these need to be performed and write and implement tests as required., • Bachelor’s degree or foreign equivalent from an accredited institution. Preferred Qualifications • Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query., • Knowledge or experience in implementing solutions with Microsoft PowerApps, Power Automate, and/or Common Data Service (Power Platform)., • Data Governance, Data Quality, Master Data Management knowledge., • 3-5+ years of proven experiences as a data analyst, • 3-5+ years of T-SQL language/query experience with data manipulation (SQL) like stored procedures, functions etc., • Knowledge of data models, data modelling (Relational and Dimensional), Data profiling and working with large data environments., • Strong communication, team player and advance analytical skills to analyze data issues and drive appropriate actions with data operations and business processes. Position Summary This position is located in New Jersey. The base salary for this position at the time of this posting may range from $80,000 to $90,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility, and qualifications. We offer a competitive benefits package and variable pay programs, please visit for more details. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. TO EXECUTIVE SEARCH FIRMS AND STAFFING AGENCIES: World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World’s property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World’s Human Resources Talent Department. #LI-GP1#LI-HYBRID Powered by JazzHR ZrwqzemlNu

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. Your primary responsibilities are to design, build and scale solutions that power our custom agent/LLM integrations for our most important customers. You will also help scale complex workloads like building agents, LLM Orchestration, vector databases, and event-driven systems. This will involve automating our processes, ensuring system reliability, integrating CI/CD pipelines, and collaborating closely with engineering and product teams to optimize the delivery of our cutting-edge solutions. You will be instrumental in bridging the gap between development and operations, fostering a culture of collaboration and continuous improvement. Key Responsibilities: • Design, implement, and manage CI/CD pipelines for automated testing and deployment of applications., • Build internal developer platforms solutions that streamline CI/CD, environment provisioning, and observability across teams., • Monitor systems and applications for performance, availability, and reliability, troubleshooting and resolving issues as they arise., • Develop automation scripts (Python, Bash, Go) to streamline the entire lifecycle of custom integration services, from creation to decommissioning., • Architect for fault tolerance, auto-scaling, and zero-downtime deployments for distributed microservices and AI pipelines., • Manage a Kubernetes, Helm, and service mesh (istio) environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management, and resiliency, • Collaborate with development teams to improve software deployment and development processes., • Manage infrastructure in cloud environments (AWS, Azure, GCP, OCI) and ensure best practices for security and performance., • Build and optimize agents, LLM workflows, caching strategies, and retrieval pipelines for low-latency inference., • Own and extend Terraform/Crossplane configurations to standardize provisioning across environments., • Prepare and maintain documentation of systems, processes, and configurations., • Stay up to date with the latest DevOps tools, techniques, and trends to support continuous improvement in our operations. Requirements • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years of experience in a DevOps role or similar capacity., • Strong experience with major cloud providers (AWS, Azure, GCP, or OCI)., • Proficiency in scripting languages such as Python, Bash, or Go., • Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, Harness, and CD/GitOps workflows with tools like Argo CD., • Extensive hands-on with containerization and orchestration, specifically Kubernetes, Helm, and Docker., • Strong proficiency in Infrastructure as Code tools (Terraform highly preferred; Pulumi, CloudFormation, or similar), • Exposure to AI/ML or data-intensive systems, including model serving, vector databases, or RAG pipelines., • Knowledge of networking, service mesh, and security controls in production environments., • Experience with monitoring tools (Grafana, New Relic, Datadog) and incident response., • Excellent problem-solving skills and a proactive attitude towards improving processes., • Strong debugging and performance tuning skills; ability to reason about failure modes and resilience., • Strong communication skills and ability to work collaboratively in a team environment.Preferred Qualifications:, • Experience in identifying and implementing security best practices in a DevOps environment., • Knowledge of database technologies (SQL, NoSQL) and associated best practices., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Power BI Developer Warren NJ Contract Description The Power BI and Microsoft Fabric Expert has strong expertise in System Integration and Master Data Management (MDM) to design, develop, and optimize enterprise data solutions. This role combines skills in data architecture, analytics, visualization, governance, and integration to create seamless data ecosystems that drive business intelligence and decision-making. The ideal candidate will have a deep understanding of Power BI, Microsoft Fabric, MDM, and system integration, ensuring interoperability between different data sources and applications. Responsibilities • System Integration: Design and implement data integration solutions across multiple platforms, ensuring interoperability between Power BI, Microsoft Fabric, ERP, CRM, and other enterprise systems., • Master Data Management (MDM): Develop and maintain data governance frameworks to ensure data consistency, quality, and accuracy., • Data Architecture & Modeling: Build scalable data models and architecture within Microsoft Fabric and Power BI., • Power BI Development: Create interactive dashboards, reports, and analytics solutions, optimizing performance using DAX and Power Query., • Microsoft Fabric Integration: Develop and manage data pipelines, data flows, and workspaces for advanced data processing and analytics., • ETL & Data Transformation: Design efficient ETL processes using Microsoft Fabric tools, Power Query, Azure Data Services, and integration middleware., • Data Governance & Security: Establish data stewardship, enforce security policies, and manage access control in Power BI and Microsoft Fabric environments., • Collaboration & Training: Act as a subject matter expert, providing guidance and training on Power BI, Microsoft Fabric, MDM, and system integration best practices., • P&C Insurance experience is mandatory Person Specification Qualifications • Expertise in Power BI (DAX, Power Query, data visualization)., • Strong experience with Microsoft Fabric (Data Factory, Data Lakes, Data Pipelines)., • Proficiency in System Integration (APIs, REST, SOAP, Middleware tools e.g Zapier, Azure Logic Apps, Azure Data Factory)., • Knowledge of Master Data Management (MDM) principles, data governance, metadata management., • Understanding of Data Modeling concepts (Star Schema, Snowflake Schema)., • Experience with Azure Data Services (Azure Synapse, Azure SQL), • SQL, Python, or other scripting languages for data processing., • Excellent problem-solving skills and ability to optimize BI solutions., • Microsoft certifications such as PL-300 (Power BI Data Analyst), DP-500 (Azure Enterprise Data Analyst), or system integration-related certifications preferred, • Experience in enterprise data integration projects or large-scale system transformation initiatives, • Excellent communicator and experience

Job Description We are looking for an experienced Devops Architect to design and implement secure, scalable, and cost-effective cloud solutions. The ideal candidate will have deep expertise in Azure PaaS services, SaaS platforms, and DevOps practices, enabling seamless cloud adoption and automation. Job Responsibilities Include: • Architecture & Design, • Develop cloud migration strategies for hybrid and multi-cloud environments., • Architect solutions using Azure PaaS services (AKS, App Services, LogicApps, ADF, KeyVault, API Management)., • Integrate SaaS platforms (Power BI, PowerApps, PowerAutomate, SharePoint)., • DevOps & Automation, • Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins., • Manage Infrastructure as Code with Terraform, ARM templates, and Ansible., • Security & Compliance, • Apply best practices for networking security (Private Endpoints, VNET integration)., • Manage identity and access via Azure AD and Privileged Identity Management (PIM)., • Collaboration, • Work with cross-functional teams for migrations and troubleshooting., • Document architecture blueprints and operational processes. Basic Qualifications: • 8+ years of experience in Azure PaaS and SaaS solutions., • 5+ years in DevOps (CI/CD, Terraform). Preferred Skills: • Strong scripting skills (PowerShell, Python, Bash)., • Expertise in cloud security and networking. Day to Day job Duties: (what this person will do on a daily/weekly basis) • Need hands-on experience with altest 60% of below, • AKS, • App Services, • WebApps, • FunctionApps, • LogicApps, • Storage Accounts, • SQL Databases, • Azure Data Factory, • KeyVaults, • API Management, • Service Bus, • good experience maintaining/running Flask and FastAPI based Python APIs and backend systems., • Proven experience with Azure VM, PaaS, and SaaS services., • Hands-on expertise in cross-tenant Azure migrations., • Strong understanding of Azure networking, identity, and security., • Experience with Power BI, Power Apps, and Power Automate administration and migration., • Experience with Terraform deployments for infrastructure automation., • Familiarity with Azure CLI, PowerShell, and automation tools., • Excellent troubleshooting and communication skills., • Azure certifications (preferred) Basic Qualifications: (what are the skills required to this job with minimum years of experience on each) • Experience: min 8+yrs relevant experience in overall Azure, • specifically managing PaaS services (IaaS is good to have but not helpful for this position), • DevOps - min 5+yrs, • Infra pipelines using Terraform, • Code Pipelines (eg: .net, java, python. Any stack is fine ), • Data Pipelines (Azure Data Factory), • SQL Pipelines, • DACPAC, • BACPAC, • PowerBI, PowerApps, PowerAutomate, Dataverse

Preferred Local candidate Role : AI/ML Role with Agentic AI Exposure Location : Iselin, NJ (3 days Hybrid) 🧠 AI/ML Role with Agentic AI Exposure – Key Elements 🔍 Core Responsibilities • Design and implement agentic AI systems that autonomously plan and execute tasks to meet user-defined goals. Very focused on python code generation ., • Develop and deploy LLM-based agents using frameworks like LangChain, LangGraph, and custom runtimes. ___, • Integrate AI agents with external APIs and services, enabling orchestration across enterprise workflows. ___, • Build and maintain pipelines for training, testing, and deploying models in production environments (e.g., Azure ML). 🧰 Technical Skills Required • Programming: Python, SQL, PySpark,, • Frameworks & Tools: LangChain, LangGraph,HuggingFace Transformers, OpenAI API, databricks, • Cloud Platforms: Azure,, • ML/AI Techniques: Reinforcement learning, multimodal models, vector databases (e.g., FAISS, Pinecone), NLP. ___, • DevOps: CI/CD pipelines, Docker, Kubernetes, Airflow. 🧪 Agentic AI Exposure • Agentic AI refers to autonomous or semi-autonomous software entities that perceive, decide, and act to achieve goals in digital or physical environments., • Roles often involve building multi-agent systems, enabling emergent behaviors, and ensuring robustness and trustworthiness in agent actions. ___, • Use cases GeneratePython code from business rules and RAG, include automating workflows, generating reports, 🎓 Qualifications • Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field., • 3–10 years of experience in AI/ML, with at least 2 years in agentic AI or autonomous systems., • Experience in deploying production-grade AI solutions and working with enterprise data systems., • What they are trying to do is leverage GitHub and CoPilot and they need someone with Advanced Github and CoPilot knowledge, • Need someone that is ahead of them in that direction., • Looking for a mentor, • Problem: Plugin for integration for python project. Code to accelerate. Need a structure the way the engineering is done.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge: We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. You will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with the law, the base salary for this role if filled within Iselin, NJ is $135K to $150K/year & benefits (see below). Key Responsibilities: • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains., • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization., • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met., • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements., • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively., • Implement data integration pipelines leveraging modern data engineering tools and practices., • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer., • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies., • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services., • Ensure compliance with data governance, data privacy, and security standards., • Support CI/CD pipelines for continuous integration and deployment of data solutions. Qualifications: • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry., • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options., • Strong functional knowledge of reference data sources and domain-specific data standards., • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer., • Familiarity with CI/CD practices, tools, and automation pipelines., • Ability to work collaboratively across teams to deliver complex data solutions., • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications). Preferred Skills: • Familiarity with financial data models and regulatory requirements., • Experience with Azure cloud platforms, • Knowledge of data governance, data quality frameworks, and metadata management. We offer: • A highly competitive compensation and benefits package, • A multinational organization with 58 offices in 21 countries and the possibility to work abroad, • 10 days of paid annual leave (plus sick leave and national holidays), • Maternity & Paternity leave plans, • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region), • Retirement savings plans, • A higher education certification policy, • Commuter benefits (varies by region), • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses, • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups, • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms, • A flat and approachable organization, • A truly diverse, fun-loving and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Title: AI/ML Role with Agentic AI Exposure Location: Iselin, NJ (Hybrid) Employment: Contract opportunity on W2 About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients. Job Description: AI/ML Role with Agentic AI Exposure – Key Elements Core Responsibilities • Design and implement agentic AI systems that autonomously plan and execute tasks to meet user-defined goals. Very focused on python code generation ., • Develop and deploy LLM-based agents using frameworks like LangChain, LangGraph, and custom runtimes., • Integrate AI agents with external APIs and services , enabling orchestration across enterprise workflows., • Build and maintain pipelines for training, testing, and deploying models in production environments (e.g., Azure ML). Technical Skills Required • Programming : Python, SQL, PySpark,, • Frameworks & Tools : LangChain, LangGraph, HuggingFace Transformers, OpenAI API, databricks, • Cloud Platforms : Azure,, • ML/AI Techniques : Reinforcement learning, multimodal models, vector databases (e.g., FAISS, Pinecone), NLP., • DevOps : CI/CD pipelines, Docker, Kubernetes, Airflow. Agentic AI Exposure • Agentic AI refers to autonomous or semi-autonomous software entities that perceive, decide, and act to achieve goals in digital or physical environments., • Roles often involve building multi-agent systems, enabling emergent behaviors, and ensuring robustness and trustworthiness in agent actions., • Use cases Generate Python code from business rules and RAG, include automating workflows, generating reports. Qualifications • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field., • 3–10 years of experience in AI/ML, with at least 2 years in agentic AI or autonomous systems., • Experience in deploying production-grade AI solutions and working with enterprise data systems. Warm Regards, D: (289) 633-4046

Job Title: Data Analyst Location: Edison, NJ and Richmond, VA or McLean, VA (Hybrid) Duration: Long-Term Contract Employment Type: W2 Only - No C2C, No 1099. Job Summary We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 5 - 7 years of professional experience after completing their bachelor’s degree (prior to starting a master’s program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business. Key Responsibilities • Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools., • Develop dashboards, visualizations, and reports in Tableau to support business insights., • Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.)., • Develop and optimize ETL/ELT pipelines in Snowflake and other data systems., • Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions., • Ensure data quality, integrity, and security across multiple environments., • Perform ad-hoc analysis and create automated reporting solutions., • Document data processes, workflows, and best practices. Required Qualifications • Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field., • Must have 5 -7 years of industry experience AFTER completing the bachelor’s degree and BEFORE starting any master’s program., • Strong proficiency in SQL for querying and manipulating large datasets., • Advanced skills in Python, including Pandas, NumPy, and data processing libraries., • Hands-on experience with AWS services used in data engineering/analytics., • Experience working with Snowflake (query optimization, warehouses, schemas, data modeling)., • Proficiency in Tableau for building dashboards and visual insights., • Strong analytical thinking, problem-solving, and communication skills., • Ability to work in a fast-paced, collaborative environment with minimal supervision. Preferred Qualifications • Master’s degree (completed after required 3–5 years of post-bachelor’s experience)., • Experience with Git, Airflow, or other orchestration tools., • Knowledge of statistical modeling or machine learning concepts., • Familiarity with Agile methodologies. Additional Information • W2 only — No C2C, No 1099., • Hybrid work model (3 Days onsite)., • Candidates must be authorized to work for any employer in the U.S. Thanks & Regards Vasu Baanyan Software Services Inc 100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817 Phone: 732-595-9006 Extn: 207 | Direct: 732-660-9077 Email: | ___ An E-Verified Company

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge: We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. You will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with the law, the base salary for this role if filled within Iselin, NJ is $135K to $150K/year & benefits (see below). Key Responsibilities: • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains., • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization., • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met., • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements., • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively., • Implement data integration pipelines leveraging modern data engineering tools and practices., • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer., • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies., • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services., • Ensure compliance with data governance, data privacy, and security standards., • Support CI/CD pipelines for continuous integration and deployment of data solutions. Qualifications: • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry., • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options., • Strong functional knowledge of reference data sources and domain-specific data standards., • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer., • Familiarity with CI/CD practices, tools, and automation pipelines., • Ability to work collaboratively across teams to deliver complex data solutions., • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications). Preferred Skills: • Familiarity with financial data models and regulatory requirements., • Experience with Azure cloud platforms, • Knowledge of data governance, data quality frameworks, and metadata management. We offer: • A highly competitive compensation and benefits package, • A multinational organization with 58 offices in 21 countries and the possibility to work abroad, • 10 days of paid annual leave (plus sick leave and national holidays), • Maternity & Paternity leave plans, • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region), • Retirement savings plans, • A higher education certification policy, • Commuter benefits (varies by region), • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses, • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups, • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms, • A flat and approachable organization, • A truly diverse, fun-loving and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. You will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs. Additional Information* The base salary for this role will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Iselin, NJ is $140K - $150K/year & benefits (see below). The Role Responsibilities: • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains., • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization., • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met., • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements., • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively., • Implement data integration pipelines leveraging modern data engineering tools and practices., • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer., • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies., • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services., • Ensure compliance with data governance, data privacy, and security standards., • Support CI/CD pipelines for continuous integration and deployment of data solutions. Requirements: • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry., • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options., • Strong functional knowledge of reference data sources and domain-specific data standards., • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer., • Familiarity with CI/CD practices, tools, and automation pipelines., • Ability to work collaboratively across teams to deliver complex data solutions., • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications). Preferred Qualifications: • Familiarity with financial data models and regulatory requirements., • Experience with Azure cloud platforms, • Knowledge of data governance, data quality frameworks, and metadata management. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 21 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Information: Functional Title - Assistant Vice President, Java Software Development Engineer Department - Technology Corporate Level - Assistant Vice President Report to – Director, Application Development Location – Iselin, NJ Hybrid Expected full-time salary range between $ 125,000 – 145,000 + variable compensation + 401(k) match + benefits Job Description: This position is with CLS Technology. The primary responsibilities of the job will be (a) Hands-on software application development (b) Level 3 support Duties, Responsibilities, and Deliverables: • Develop scalable, robust applications utilizing appropriate design patterns, algorithms and Java frameworks, • Collaborate with Business Analysts, Application Architects, Developers, QA, Engineering, and Technology Vendor teams for design, development, testing, maintenance and support, • Adhere to CLS SDLC process and governance requirements and ensure full compliance of these requirements, • Plan, implement and ensure that delivery milestones are met, • Provide solutions using design patterns, common techniques, and industry best practices that meet the typical challenges/requirements of a financial application including usability, performance, security, resiliency, and compatibility, • Proactively recognize system deficiencies and implement effective solutions, • Participate in, contribute to, and assimilate changes, enhancements, requirements (functional and non-functional), and requirements traceability, • Apply significant knowledge of industry trends and developments to improve CLS in-house practices and services, • Provide Level-3 support. Provide application knowledge and training to Level-2 support teams Experience Requirements: • 5+ years of hands-on application development and testing experience with proficient knowledge of core Java and JEE technologies such as JDBC and JAXB, Java/Web technologies, • Knowledge of Python, Perl, Unix shell scripting is a plus, • Expert hands-on experience with SQL and with at least one DBMS such as IBM DB2 (preferred) or Oracle is a strong plus, • Expert knowledge of and experience in securing web applications, secure coding practices, • Hands-on knowledge of application resiliency, performance tuning, technology risk management is a strong plus, • Hands-on knowledge of messaging middleware such as IBM MQ (preferred) or TIBCO EMS, and application servers such as WebSphere, or WebLogic, • Knowledge of SWIFT messaging, payments processing, FX business domain is a plus, • Hands-on knowledge of CI/CD practices and DevOps toolsets such as JIRA, GIT, Ant, Maven, Jenkins, Bamboo, Confluence, and ServiceNow., • Hands-on knowledge of MS Office toolset including MS-Excel, MS-Word, PowerPoint, and Visio, • Proven track record of successful application delivery to production and effective Level-3 support. Success factors: In addition, the person selected for the job will • Have strong analytical, written and oral communication skills with a high self-motivation factor, • Possess excellent organization skills to manage multiple tasks in parallel, • Be a team player, • Have the ability to work on complex projects with globally distributed teams and manage tight delivery timelines, • Have the ability to smoothly handle high stress application development and support environments, • Strive continuously to improve stakeholder management for end-to-end application delivery and support Qualification Requirements: • Bachelor Degree, • Minimum 5 year experience in Information Technology

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

SQL Server DBA (SQL Server 2016 or newer). Strong experience in T-SQL, PL/SQL, and shell scripting. SQL Server Replication DBA (with Oracle, AWS, Python & Grafana).

Using J2EE Architecture, Design Patterns, available open source frameworks, DB2 SQL Writing/Stored Procedures and Windows Scripting.

SQL Server DBA (SQL Server 2016 or newer). Exposure to Oracle DB administration and SQL/PLSQL. SQL Server Replication DBA (with Oracle, AWS, Python & Grafana).

Develop and manage relational databases (SQL Server, MySQL, PostgreSQL) to ensure data integrity. Automate ETL processes using Python and advanced data engineering tools.

Using J2EE Architecture, Design Patterns, available open source frameworks, DB2 SQL Writing/Stored Procedures and Windows Scripting.

This role will focus on assessing the client’s existing SQL Server 2016 environment, executing migrations to updated SQL Server platforms and Azure data services, and producing clear technical documentation. Proven background migrating SQL Server 2016 environments to modern SQL Server and Azure pl

Develop and optimize SQL, ETL/ELT pipelines, and data models to support reporting and analytics.

Design and maintain enterprise-level logical, conceptual, and physical data models.Define data standards, naming conventions, metadata structures, and modeling best practices.Ensure scalability, performance, and alignment of data models with business requirements.Implement and enforce data governanc

Develop and optimize SQL, ETL/ELT pipelines, and data models to support reporting and analytics.

Design and maintain enterprise-level logical, conceptual, and physical data models.Define data standards, naming conventions, metadata structures, and modeling best practices.Ensure scalability, performance, and alignment of data models with business requirements.Implement and enforce data governanc

Location: Hybrid - Newark, NJ (2-3 days per week onsite).Duration: 6 months (with possible extension).Prepares data for analytical or operational uses.Builds data pipelines to pull information from different source systems, integrating, consolidating, and cleansing data and structuring it for use in

Strong knowledge and skills in data automation technologies, such as Python, Cloud data pipelines, ETL/ELT, SQL, etc.

Proficient in Data modeling, PySpark and SQL.

Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer. Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.

Develop SQL Server views for reporting and dashboard development. Troubleshoot and optimize SQL and Informatica mappings and stored procedures. Knowledge of RDBMS platforms (SQL Server, DB2, etc.

Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer. Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.

Python, PySpark, Spark, Hadoop, Kafka, Airflow, Azure, GCP, Kubernetes, CI/CD, ETL, Data Lake, Big Data, Cloud Data Engineering. Job Title:Data Engineer (Python, Spark, Cloud). Python and Big Data skills to design, develop, and maintain scalable data pipelines and cloud-based solutions.

Strong proficiency in Python and software engineering principles.

Strong hands-on SQL and Python development. Hands-on knowledge on SQL Analytical functions.

Proficiency in SQL for data extraction, manipulation, and transformation.

This individual is responsible for ensuring Human Health (HH) has an industry-leading strategy and approach to sourcing, creating, and activating commercial data assets that inform business-critical decisions and actions across US business units (Oncology, Vaccines, Pharma, Respiratory, Rare Disease

Principal Consultant – Data & AI Division.At Amdocs, we foster a culture of innovation, collaboration, and inclusivity.We believe in empowering our employees to drive change and make a meaningful impact.Our diverse and dynamic team is dedicated to pushing the boundaries of technology and deliverin

Job Description: AI Architect, 6+months Contract, NJ.The AI Architect is responsible for defining and implementing the enterprise architecture needed to support AI initiatives across the organization.This role combines strong technical expertise, strategic thinking, and business understanding to des

Leadership - Data & Analytics Consulting - Pharma.We are seeking passionate individuals to help our clients solve complex challenges and lead their analytics transformation.As an Associate Principal/Principal and Customer Success Leader, you will guide teams of Managers and Consultants in executing

LED industrial lighting technology with millions of LED fixtures installed worldwide.We see a world where heavy industry is transformed to be safer, more productive, and environmentally friendly through illumination.We enable industrial customers operating in demanding environments to reduce their e

Johnson & Johnson is currently recruiting for Manager Data Management Fair! This position can be located in New Brunswick, NJ, Raynham, MA or select EMEA regions.The Enterprise Data Management (EDM) team, part of Supply Chain Excellence (SCE), is responsible for delivering trusted, governed, and acc

Basics of any DB and able to write simple DB SQL queries.

Proven background migrating SQL Server 2016 environments to modern SQL Server and Azure platforms. This role will focus on assessing the clients existing SQL Server 2016 environment, executing migrations to updated SQL Server platforms and Azure data services, and producing clear technical documenta

Basics of any DB and able to write simple DB SQL queries.