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Our client, an international financial leader, is seeking a GenAI Developer to join their team. As a GenAI Developer, you will be part of the Data & Analytics department supporting cross-functional teams. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a collaborative mindset, which will align successfully in the organization. Job Title: GenAI Developer Location: Jersey City, NJ Pay Range: $85.00-$115.00/hr What's the Job? • Design and implement scalable data pipelines and ETL processes across structured and unstructured data sources., • Integrate data from various Enterprise SORs and workflow tools to create process-level visibility., • Build and maintain data models, warehouses, and lakes for analysis and reporting., • Collaborate with analysts and business teams to develop dashboards and real-time metrics., • 5+ years of experience in Data Engineering, Analytics, or Machine Learning/NLP focused roles., • Experience with process mining tools such as Celonis or UiPath Process Mining., • Proven experience with cloud-based data pipelines., • Strong understanding of SQL, Python, and data transformation tools., • Opportunity to work on innovative AI-driven projects that shape the future of process automation., • Collaborate with a diverse and talented team committed to continuous learning and growth., • Access to cutting-edge tools and technologies in AI and data engineering., • Engage in meaningful work that impacts organizational decision-making and efficiency., • Medical and Prescription Drug Plans, • Dental Plan, • Vision Plan, • Health Savings Account, • Health Flexible Spending Account, • Dependent Care Flexible Spending Account, • Supplemental Life Insurance, • Short Term and Long Term Disability Insurance, • Business Travel Insurance, • 401(k), Plus Match About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Jersey City, NJ Contract to Hire Hybrid W2 Only · No 3rd Parties Role Overview Support the Cyber Data Operations team by monitoring the production batch stream cycle of CyberDW, diagnosing job failures, and escalating issues according to protocol. This role is responsible for creating playbooks and SOPs, coordinating with the Cyber Data team on production releases and active issues, and driving organizational efficiency through business process analysis and data-driven decision-making. Production Job Types Monitored ETL Jobs CDQ Jobs QA Jobs DLP Jobs Event Monitoring Jobs Key Responsibilities Production Monitoring • Monitor the production batch stream cycle of CyberDW on an ongoing basis., • Diagnose job failures across ETL, CDQ, QA, DLP, and event monitoring pipelines., • Create and maintain operational playbooks and standard operating procedures., • Document processes and decision trees for recurring production issues., • Coordinate with the Cyber Data team on production releases and active CyberDW issues., • Analyze business processes and identify operational improvement opportunities., • Support data-driven decision-making to enhance operational performance. Must-Have SQL Relational Databases Core Skills Batch Stream Monitoring ETL Job Management Incident Diagnosis & Escalation SOP / Playbook Authoring Business Process Analysis Process Mapping Data Interpretation Cross-Functional Collaboration Analytical Problem-Solving Project Management Tools Nice to Have Python Cyber / Security Domain DLP Operations Data Warehouse Support QA Job Monitoring Soft Skills Strong Attention to Detail Clear Communication Organizational Skills Business Context Awareness

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. This group is responsible for all Data Engineering, Machine Learning Engineering, Analytics and Reporting for the Claims business area. The candidate must be hands-on with expert technical skills and a proven track record of project delivery. Responsibilities • Hands on development and support of new or existing data applications., • Works closely with the lead to create/review low level implementation designs, understand high level data flow designs developed by Data Architects., • Provide technical guidance to the team and work on implementing complex data solutions., • Provide support in the design, development, code reviews, test deploy and documentation of Data Engineering and Data Integration Applications., • Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments., • Provide technical leadership and mentor junior data engineers., • Work closely with Product Owners, Product Managers, Program Manager, Scrum Master, and Team Members in a Scaled Agile framework., • Closely monitor the health of data pipelines and develop contingency plans for failures., • Maintain detailed documentation to support downstream integrations., • 5-7 of experience in Data Warehousing, Data integration or Data Engineering projects, • Ability to effectively work well with people in other departments and/or outside of the enterprise., • Expert-level proficiency inPython, SQL, and Spark; strong experience withcloud platforms(Azure, AWS, or GCP)., • Expert level experience in Databricks and Delta Lake., • Proven track record of buildingenterprise-scale data platformssupporting advanced analytics and machine learning., • Experience withstreaming architectures(Kafka, Kinesis) andevent-driven data processing., • Strong knowledge ofdata security, encryption, and access controlin regulated environments., • Advanced working knowledge of SQL and optimizing queries and databases for performance., • Ability to debug and resolve complex issues internally and work with external vendors and service providers., • Good understanding and hands on experience in developing and managing CI/CD pipelines, • Good understanding of Data Structures and Data Models., • P&C Insurance experience is highly desired., • Bachelor's degree in computer science or related engineering field preferred., • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $123,000.00 - USD $157,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Title: AWS Data Engineer Duration: 7 months (Possibility of extension) Location: Hybrid (Newark, NJ) Job Summary: We are seeking an experienced AWS Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Key Responsibilities: • Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS., • Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.)., • Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture., • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions., • Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses., • Develop and enforce standards for data quality, security, and governance., • Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team., • Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy., • Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption., • Troubleshoot complex data issues and provide technical leadership in problem resolution. Required Qualifications:, • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment., • Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform)., • Excellent problem-solving, communication, and organizational skills. Preferred Qualifications:, • AWS Solutions Architect or AWS Data Engineer certification., • Experience with real-time streaming technologies., • Knowledge of data governance, compliance, and security best practices., • Familiarity with Lakehouse architecture and modern data platforms.

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Job Title : Ab Initio Developer Location : Whippany, NJ (Hybrid) Duration : Long Term ContractJob Description: Role PurposeTechnical/Functional Skills· 12+ years of Experience designing and delivering complex, large-volume data warehouse applications· Ab Initio ETL development (5+ years of hard-core Ab Initio experience)· Strong experience in advanced SQL programming, Oracle databases· Minimum data modeling experience· Solid and professional communications skills, both verbal and written· Unix familiarity and shell scripting experience· Strong knowledge of Software Development Lifecycle (SDLC).· Job scheduling experience using Maestro/ TWS is required· Strong experience in Data Quality, Source Systems Analysis, Business Rules Validation, Source Target Mapping Design, Performance Tuning and High Volume Data Loads.· Strong written and oral communication skills are essential. Strong analytical skills and ability to resolve problems are desired. Some knowledge of the mortgage industry required.· Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment· Flexibility to work additional hours on an as needed basis to meet deadlines and with offshore teams.· Develop relevant functional and technical documentation Best Regards, Lokesh Vanjarapu Sr. Technical Recruiter ___ | 732-515-7098 LinkedIn: ___ 200 Centennial Ave, Suite 204, Piscataway, NJ 08854___ Flexible work from home options available. IPolarity LLC. is a Professional Services firm composed of highly trained professionals with a wide range of experience in various industries. We provide our clients in key industry verticals with focused expertise in IT Solution, Application Development, Application Maintenance, Testing services and Systems Integration. IPolarity LLC integrates expert industry knowledge, process and technology frameworks, strong partnerships, and a reliable work force to provide strategic solutions that generate sustainable results. We are able to leverage our expertise via a flexible delivery model, which includes onsite and offsite resources.

Delivery Lead Jersey City, New Jersey, United States About the Job Job Title: Delivery Lead Location: NJ / Charlotte / Atlanta (onsite hybrid) Responsibilities: • Oversee and drive the delivery of end-to-end projects focused on analytical applications and ETL projects., • 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 frameworks like Snowflake, Spark, and AWS Glue to design, deploy, and integrate cutting-edge data 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., • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration., • ETL Projects: Hands-on experience with ETL processes, data migration, and data mart implementation., • 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., • 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 ETL processes, data migration, and data mart implementation., • Excellent communication and stakeholder management skills to collaborate across diverse teams., • Experience in the insurance industry is a plus.

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, related Engineering disciplines, or related field of study plus six (6) years of related experience required. Three (3) years of experience must include: Designing and developing ETL Pipelines, Data flows and Control f

The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery. En

Experience working with NLP and Machine Learning.Expert experience working with GenAI and LLM tools (i.Tangible experience working with ETL, relational databases, NoSQL or MongoDB.Worked on Vertex AI and good experience on Voice AI conversation.Posting Date 03/26/2024, 03:23 PM.

The role involves developing and maintaining Python scripts for ETL (Extract, Transform, Load) from Tableau data sources.

ETL development using Informatica PowerCenter (preferably version 10. Our client, a leading financial services organization, is seeking a Senior Informatica ETL Developer to join their team. As a Senior Informatica ETL Developer, you will be part of the Data Engineering Department supporting the Com

ETL Testing, Python/PySpark - Coding Experience is Mandatory. The SDET (Software Development Engineer in Test) is responsible for ensuring the quality and reliability of ETL processes and data integration workflows. The ideal candidate will leverage their expertise in ETL testing and data validation

Participate in the transformation and implementation of critical batch processing systems. Design and manage scalable database systems, focusing on Oracle platforms. Experience with distributed systems.

Hands-on Cisco voice platforms and unified communication and collaboration technologies.Demonstrate extensive technical experience working with large VoIP network using Cisco Voice collaboration platforms and solutions including Call Manager/CUCM, Cisco SME, Unity Connection Voice Mail, Webex, Webex

Responsibilities: • Manages and supports the delivery of high-profile technology products and services., • Acts as the single point of contact for the client and the appropriate technical groups from solution planning to sizing/estimating to fulfillment., • Influences technology selection by gathering and reviewing customer information, working with technology teams to determine if custom solution is necessary, and recommend best option to the customer. Required Qualifications:, • 10+ years of banking or financial regulations experience, • 10+ years of technical documentation and publication experience, • 10+ years of experience capturing and documenting complex business and functional requirements, • 7+ years of environment test coordination, code deployment, release management and communication experience, • 5+ years of experience working with derivatives and securities products in any of the following areas: technology, finance, regulatory reporting, risk, middle office or operations, • 10+ years of experience with Waterfall and Agile project methodologies, • 5+ years of operational risk, conduct risk or compliance domain experience, • 7+ years of experience with Change Management, Incident Management and Problem Management routines. Technical Skills:, • SSIS, • Advanced SQL query writing, • Autosys, • Autosys Scheduler, • Complex SQL Queries, • 3+ years of experience in MongoDB or Other NoSQL databases, • 3+ Experience with Autosys, • 5+ years of ETL (Extract, Transform, Load) Programming experience, • 5+ years of experience with Agile project methodologies. Desired Qualifications:, • Deep knowledge and understanding of trade surveillance and the rules, laws and regulations associated with it., • Deep knowledge and understanding of governance and compliance expected from providing solutions in systems and technology domains, • Good knowledge of Fixed Income and Derivatives., • Knowledge and understanding of Trade Surveillance with extensive experience in surveillance tools such as Actimize/ActOne, • Experience with Graph Databases like Neo4J, • Experience with PCF, • Cloud experience with any major cloud offerings like GCP, Azure, AWS, • Orchestration tools like Kubernetes, • 5+ years of SQL Server SSIS, SSRS and SSAS experience, • Experience serving as a Scrum Master for multiple teams simultaneously, • Knowledge and understanding of DevOps principles, • Familiar with Automated Scheduling (like batch/Autosys) and file transfer concepts, • Experience working with Disaster Recovery (DR) and Business Continuity Plans (BCP) and exercise, • Past project experience using agile/scrum is highly desired.

Oracle PL SQL Must Have Technical/Functional Skills Primary Skill: Oracle PL/SQL, SQL, Stored Procedures, Functions, Packages, Triggers, Performance Tuning, Query Optimization, SQL Developer / TOAD, ETL / Data Migration, Indexing / Partitioning, Unix Shell Scripting. Optimize SQL statements and PL/S

Must Have Technical/Functional Skills Primary Skill: Oracle PL/SQL, SQL, Stored Procedures, Functions, Packages, Triggers, Performance Tuning, Query Optimization, SQL Developer / TOAD, ETL / Data Migration, Indexing / Partitioning, Unix Shell Scripting. Optimize SQL statements and PL/SQL code for be

ETL testing, complex SQL, and test automation. Manage test assets and defects using Jira and Micro Focus Octane; collaborate with cross-functional Agile teams. Expertise in ETL testing and data warehousing concepts.

Minimum 6 years of experience in ETL tools like Informatica using Netezza as the database.At least 5 years of experience in Data Design and architecture.At least 6 years of experience in ETL Designing, development and database components to support Datawarehousing and Business Intelligence.At least

The candidate must be a talented and hands-on technologist.The position will entail Oracle, PLSQL, SQL, Big Data, Scala, Java, J2EE, JavaScript skills and enhance/develop the ETL pipelines with integrating with several internal Systems.This role provides the unique and exciting opportunity to gain e

Informatica, Datawarehouse And Etl. Strong Knowledge of Dimensional Modelling, DW architecture, ETL Frameworks, Design and Development using Informatica, Best Practices and Troubleshooting. Extensive experience in architecting ETL / OLAP solutions.

Technical Business Systems Analyst. We are looking for a midsenior Technical Data Business Analyst with strong SQL and SSIS, expertise to support migration of legacy SSIS ETL pipelines to Azure Data Factory ADF and Databricks The core of this role is to reverse engineer SSIS packages and SQL transfo

Genesis10 is currently seeking an ETL Informatica Developer for a contract position with a Global Financial Institution located in Jersey City, NJ or Charlotte, NC.

Job Description Be Part Of A High-Performing Team: Join a leading global financial institution recognized for its strong presence in corporate banking, investment banking, and financial services innovation. The technology division plays a critical role in driving data transformation initiatives across the Americas, supporting enterprise-scale systems and regulatory environments. This team operates in a fast-paced, highly collaborative environment focused on modernizing data infrastructure, improving data accessibility, and enabling advanced analytics across the organization. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on large-scale enterprise data platforms within a global financial services environment, • Exposure to modern cloud-based data engineering tools and frameworks, • Design, build, and maintain scalable ETL pipelines to support enterprise data initiatives, • Develop and optimize data workflows for ingestion, transformation, and storage, • Ensure data quality, integrity, and consistency across multiple data sources, • Collaborate with cross-functional teams including analytics, infrastructure, and business stakeholders, • Enhance performance and efficiency of data systems and storage solutions, • 5–7 years of experience in data engineering, ETL development, or data platform engineering, • 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, • Experience working with large-scale data environments and optimizing data workflows, • Solid understanding of data modeling, data warehousing, and data quality best practices, • Ability to troubleshoot data issues and implement scalable solutions, • Strong communication skills and ability to work in a hybrid team environment

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models.. RESPONSIBILITIES: • MDM Strategy & Architecture, • Lead the design and implementation of MDM solutions for Commercial domains such as HCP, HCO, Affiliation, Product, Territory, and Customer hierarchies, • Define golden record strategy, survivorship rules, match/merge logic, and data stewardship workflows, • Establish MDM reference architecture aligned to enterprise data strategy and regulatory requirements, • Informatica MDM & ETL Delivery, • Configure and manage Informatica MDM (Multidomain or Customer 360) including: Data models, match rules, trust frameworks, and hierarchies, • Design and develop ETL/ELT pipelines using Informatica PowerCenter / IICS (or equivalent) to ingest data from multiple internal and external sources (e.g., IQVIA, OneKey, CRM, ERP), • Ensure performance, scalability, and data quality across large-scale datasets, • Data Quality & Governance, • Define and enforce data quality rules, KPIs, and exception handling, • Partner with business and data governance teams to operationalize data stewardship models, • Commercial Pharma Domain Leadership, • Act as a subject matter expert for Commercial master data:, • HCP/HCO identity resolution, • Affiliations and hierarchies, • Specialty, address, and territory alignment concepts, • Collaborate with Sales Ops, Marketing Ops, Market Access, and Analytics teams to translate business requirements into scalable MDM solutions, • Leadership & Stakeholder Management, • Lead onshore/offshore delivery teams and review technical designs and code, • Engage senior stakeholders to align data standards, priorities, and roadmap, • 8-10+ years of hands-on experience in MDM implementations within Life Sciences / Pharma, • Strong expertise in Informatica MDM (Customer 360 / Multidomain), • Strong experience designing and building ETL pipelines using Informatica or equivalent tools Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Role – Business Data Analyst Job Summary: We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain. The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with business stakeholders, SMEs, and technical teams to drive data accuracy, consistency, and value. Key Responsibilities: • Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects., • Develop source-to-target data mappings (STTM) and documentation based on business requirements., • Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications., • Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic., • Optimize complex SQL queries for performance and accuracy in handling large datasets., • Participate in data quality assessments and recommend data cleansing or enrichment strategies., • Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes., • 5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments., • Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning., • Proven experience developing source-to-target mapping (STTM) documents and understanding ETL/data flow processes., • Exposure to data consolidation, standardization, and transformation across heterogeneous data sources., • In-depth knowledge of the Property & Casualty Insurance domain,, • Exceptional communication and interpersonal skills—able to work effectively with technical teams, business stakeholders, and subject matter experts., • Strong documentation skills with the ability to create clear and concise technical and business artifacts.

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionSalary: At Derevo, we empower companies and people by unlocking the value of our clients data and enhancing the talent of those who transform it. With more than 15 years of experience, we design end-to-end Data & AI solutions: from integration into modern architectures to the implementation of intelligent models in key business processes. We are looking for aGCP Data Architect with more than 10 years of experience transforming complex data ecosystems into strategic business assets. Expert in designing and deploying enterprise-scale Data Warehousing solutions using the Google Cloud Platform (GCP) stack. The key differentiator for this role is the ability to act as a bridge between technology and business, translating KPIs and objectives from business leaders into robust, scalable, and results-oriented architectures. Core Technical Stack Expert / Strong command • Business-to-Tech Translation: Proven experience collaborating directly with C-Level executives and Business Directors to define requirements, manage expectations, and present technology roadmaps. Ability to lead technical discussions and negotiations., • Data Integration & Orchestration: Cloud Dataflow (Apache Beam for ETL/ELT + dbt) and Cloud Composer (Apache Airflow)., • Architecture Design: Design of data pipelines in both streaming and batch, ensuring high availability and minimal latency., • Data Warehousing: Google BigQuery (cost optimization, partitioning, clustering, and data modeling)., • Governance & DevOps: Data Catalog, IAM, CI/CD for data pipelines. Key Professional Competencies: Nice to have • Business Intelligence: Understanding of BI concepts and processes, with exposure to tools such as Tableau or Qlik., • Bilingual Communication: Full fluency in English required, Spanish is a plus. Your benefits with Derevo WELLNESS: We promote personal, professional, and financial well-being. LETS RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains. WE CREATE NEW THINGS Freedom and support to design innovative data solutions. WE GROW TOGETHER Participation in cutting-edge, multinational technology projects with diverse teams. Where will you do it? Hybrid model, working 2 to 3 days per week from our offices in New Jersey (07302). If you meet most of the requirements and are interested in the challenge, apply! Our Talent Acquisition team will contact you. Become a Derevian and develop your superpower

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionSenior Data Engineer Senior Data Engineer (Snowflake, dbt) Location: Hybrid NYC or NJ/CT Comp: $150K-$200K base + bonus We're partnering with a fast-growing company at the intersection of data, analytics, and real-world consumer insights. Their platform processes large-scale datasets to power reporting, analytics, and business decision-making across multiple teams. They're looking for a Senior Data Engineer to own the full data lifecycle, from ingestion and modeling through to enabling business-facing analytics. What You'll Do • Build and maintain scalable data pipelines across batch and near real-time workflows, • Design and optimize data models in Snowflake for analytics and reporting, • Develop and manage transformation workflows using dbt, • Own data ingestion processes using modern ELT tools and frameworks, • Partner with business stakeholders to translate requirements into data models and insights, • Support dashboards and reporting workflows (Sigma or other BI tools), • Establish best practices for data quality, governance, and documentation, • Strong experience with SQL and Python, • Hands-on experience with Snowflake and dbt (required), • Experience building and maintaining modern ETL/ELT pipelines, • Experience working with cloud platforms (AWS preferred), • Strong understanding of data modeling and analytics engineering best practices, • Experience with Sigma Computing or similar BI tools, • Background in analytics, BI, or reporting-heavy environments, • Experience with Fivetran or similar ingestion tools, • Experience with Tableau or Power BI, • High visibility across business and leadership teams, • Ownership of both backend data systems and reporting layer, • Modern data stack (Snowflake, dbt, cloud), • Competitive base + bonus, • Medical, dental, and vision, • 401k with match, • Generous PTO, • Professional development budget - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 04/09/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business. Key Responsibilities: • Client Engagement & Advisory, • Partner with senior data leaders to provide strategic, forward-looking advisory, • Lead client reviews and recommend improvements across platforms, operating models, and practices, • Drive enterprise transformation initiatives across technology, organization, and processes, • Deliver thought leadership through workshops and knowledge-sharing sessions, • Solutioning & Pre-Sales, • Present capabilities and support business development initiatives, • Develop solutions and proposals for complex client requirements, • Architect scalable solutions for high-impact, first-of-its-kind programs, • Practice Leadership, • Mentor and develop engineering and architecture talent, • Manage and guide architect resources across engagements, • Contribute to go-to-market assets (reference architectures, frameworks, best practices), • Support hiring and strengthen talent acquisition processes, • Collaborate with global teams to enhance delivery and capabilities, • Expertise & Skills, • Strong experience in solution architecture for large-scale enterprise transformation programs, • Deep expertise in modern data platforms (NoSQL, MPP, columnar, big data, cloud – AWS, Azure, GCP), • Experience with data processing frameworks (batch ETL, real-time streaming, IoT architectures), • Knowledge of Data Fabric, Data Mesh, and enterprise data architecture patterns, • Expertise in data management practices, including data governance, cataloging, and data security, • Experience with MLOps, ML lifecycle, and advanced analytics platforms, • Strong background in data warehousing, BI ecosystems, and analytics solutions, • Proficiency in DevOps, Infrastructure as Code, and programming (Python, Java, Scala, etc.), • Exposure to knowledge graphs, customer data platforms, and digital analytics ecosystems, • Soft Skills, • Strong ownership mindset with an entrepreneurial approach, • Ability to work with ambiguity and solve complex, abstract problems, • Excellent stakeholder management and collaboration skills, • Bachelor’s degree in Computer Science or related field (or equivalent experience), • 15+ years of experience in solution architecture and technology platforms, • 5+ years in consulting leadership roles Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description This job is hybrid in Newark, NJ Our direct client has an opening for Oracle Fusion Cloud Techno-Functional Consultant 778268 This position is for 6 months, with the option of extension, and is the client is located in Newark, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Oracle Cloud Upgrade and or Cloud Migration Required 7 Years Proficiency in tools such as OTBI, FRS, Smart View, and Oracle Data Integrator (ODI) or similar ETL tools. Required 7 Years Oracle Certified Implementation Specialist – Oracle Cloud PPM or Financials. Required 7 Years Experience with Oracle Integration Cloud (OIC) or similar middleware for real-time integrations. Required 7 Years

Job Description * Candidate will be allowed to work remotely. No work outside the United States is allowed. Candidate must work EST business hours. Our direct client has an opening for a Sr Rhapsody Developer # 9656. This position is for 12+ months, with option of extension, and will be worked remote. Candidate work EST business hours. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Below is the job description – Resumes due ASAP – Required Skills 5+ YEARS V6+ Rhapsody Integration Engine 5+ YEARS Symphonia Mapping Language (SML) 5+ YEARS HL7 (SUCH AS V 2.3.1 - 2.5.1; ORU & ORM MESSAGE TYPES) 2+ YEARS XML / XSD / XPATH 3+ YEARS SQL Advanced Join Statements 5+ YEARS JAVASCRIPT 2+ YEARS SOAP Web Services Desired Skills Windows OS Server Administration Public Health / Disease Surveillance SystemS / LIMS Experience EXCEL / VBA MACROS / Automate & Flow LOINC / SNOMED DEVOPS/JIRA REDCAP FASTQ Files and Demultiplexing Rhapsody Certification - list specific certification on resume Additional Skills • Ability to establish positive working relationships with technical staff, Customers and others involved in data-centric management., • Excellent written, oral, and interpersonal communication skills, • Experience with security and data classification related to CDC, HIPAA, and CJIS, • Critical thinking and problem resolution skills, • Ability to deal effectively with the needs of technical peers, technical and user management, users, vendors, and staff members, and to communicate, • Large scale integration and design in healthcare environment Description: The candidate must be able to independently research and design processes, create specifications, develop, lead testing, perform code reviews, actively engage with the team and stakeholders, attend meetings, provide guidance, and respond promptly. Participate in a team comprised of DPH and solution implementation staff for Systems Integration related planning, design, configuration, and conversion / rewrite of existing processes, code, and functionality in/into the Rhapsody Environment. Will coordinate with assigned IT Section Manager and Team Lead on daily assignments / tasks. Will coordinate and collaborate with contract and vendor staff as well as existing DPH staff and other IT professionals working with the Office of Information Technology. Ensure assignments are completed accurately and on-time, assist with problem resolution, mitigate issues, provide solutions, communicate, and escalate as needed to management, and report progress to manager. Will advise Staff on code conversions, route and configuration changes and enhancements, process improvements, software updates and maintenance. Work with vendors and staff on deliverables, troubleshooting and conversion of current processes to Rhapsody. Includes rewriting existing solutions to conform to best practices and updated coding standards and to improve efficiency, performance, and maintenance. Ideally this position would serve as the IT lead for this project managing the project work, communications, and customer expectations. Specific duties and responsibilities will include but are not limited to the following: • Prepare and maintain system documentation and architecture diagrams for processes assigned (new and existing). Work with end users to perform gap analysis, gather and document functional requirements, and create necessary processes • Assist with project and time management including estimates and status reporting, • Ability to plan, organize, review, implement associated project milestones to completion., • Process Development, Process Automation, and ETL Solutions, • SQL query creation and validation to include advanced joins, • Perform complex programming functions, assistance, and technical advice including design architecture, configuration, writing, testing, and documentation to complex programming of agency computer systems as assigned. • Create new and update existing Rhapsody routes to handle new data elements and formats creating the necessary output for upload into testing, lab, and surveillance systems as well as report to the CDC • Transformation of multiple formats (xml, csv, SOAP, HL7, etc.) in Rhapsody with Symphonia and Javascript (ECMA/E4X), • Formatting data into Conduent Maven Integration Format (MIF) for import into the Disease Surveillance System, • Utilize webservice calls to and from Rhapsody parsing request/response data, • Monitor routes and production processing to ensure proper data flow and response times using Rhapsody Web Management Console and other tools, • Help to perform and automate daily maintenance processes, • Debug, troubleshoot, and optimize new and existing processes., • Resolve processing issues., • Correct and reprocess errors, • Advise on monitoring practices, thresholds, and notifications, • Support Rhapsody upgrades and new environment configuration, • Ensure maximum system uptime for critical components to ensure business continuity., • Assist with data migrations and database migration related code changes, testing, and validation, • Review existing code for rewrite into Rhapsody routes., • Perform / participate in code reviews for authored, team written, and vendor suggested changes and implement reviewed changes into Production, • Advise the team on best practice and techniques. Mentor technical team on advanced topics., • Assist the team, DPH staff, and vendors to onboard providers and partners to utilize Rhapsody supported services like HL7 electronic lab reporting (ELR), electronic test orders and resulting (ETOR), electronic case reporting (eCR), and Interpartner data sharing. • Modification / rewrite of existing processes and creation of new processes to be compliant with agency security requirements and following industry best standards

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 DescriptionJob Title: Senior Product Manager – Salesforce CRM Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Position Summary We are seeking a Senior Product Manager to lead the strategic vision, product roadmap, and enterprise adoption of Salesforce CRM and Analytics across our healthcare payer ecosystem. This role will serve as the bridge between business strategy and technology delivery—driving platform optimization, data-driven decision-making, and customer engagement across Sales, Service, and Care Management functions. You will work cross-functionally with business stakeholders, data teams, engineering, and Salesforce developers to define and deliver scalable, compliant, and actionable solutions across Salesforce Sales Cloud, Service Cloud, and CRM Analytics (formerly Einstein Analytics). The ideal candidate brings strong experience in Salesforce strategy and governance, exceptional data fluency, and a deep understanding of healthcare payer operations. Key Responsibilities · Define and own the Salesforce CRM and Analytics product strategy aligned with enterprise objectives, focusing on payer-specific use cases (e.g., provider engagement, member support, care management, sales enablement). · Translate business priorities into a clear Salesforce product roadmap, including data modeling, advanced reporting, dashboarding, and analytics solutions. · Lead platform governance and standards, ensuring consistency, scalability, and alignment with security, compliance (e.g., HIPAA), and enterprise architecture. · Oversee development of advanced dashboards, reports, and storytelling features in Salesforce CRM Analytics, leveraging SAQL, lenses, and datasets to support executive and operational decision-making. · Partner with business and technical stakeholders to gather requirements and prioritize high-impact use cases across Sales, Service, and Operations. · Lead strategic data integration initiatives, ensuring seamless connectivity between Salesforce, Snowflake, legacy systems, and external data sources. · Collaborate with Salesforce developers and architects to define scalable solutions using Apex, LWC, SOQL, Async Apex, Visualforce, and automation tools (Flows, Process Builder). · Champion data governance, access control, and compliance policies on the Salesforce platform, working closely with InfoSec and Data Privacy teams. · Establish and track key KPIs and adoption metrics, ensuring continuous improvement in platform usability, data quality, and reporting accuracy. · Serve as a thought leader on CRM analytics and Salesforce innovation, identifying opportunities to leverage emerging features, AI capabilities, and platform enhancements. Required Qualifications · 7+ years of product management or platform ownership experience, with at least 4 years focused on Salesforce CRM and analytics in a large enterprise environment. · Experience in healthcare payer organizations with a strong understanding of payer business processes (e.g., member engagement, provider contracting, care coordination). · Proven track record of leading cross-functional teams to deliver enterprise-grade Salesforce solutions, including Sales Cloud, Service Cloud, and CRM Analytics. · Proficiency in Salesforce CRM Analytics (SAQL, dataflows, lenses, datasets, and dashboards), as well as a solid grasp of data visualization best practices. · Hands-on understanding of Salesforce configuration and customization tools, including Apex, LWC, Flows, and security/sharing settings. · Deep understanding of data modeling, ETL processes, and CRM data integration with systems like Snowflake or other third-party platforms. · Strong communication, stakeholder engagement, and executive presentation skills. · Experience implementing and maintaining Salesforce platform best practices, with a focus on scalability, compliance, and governance. Preferred Qualifications · Salesforce certifications (e.g., Salesforce Certified Administrator, Platform App Builder, or CRM Analytics & Einstein Discovery Consultant) · Familiarity with payer-specific analytics use cases, including risk stratification, member segmentation, or provider network performance. · Experience managing Salesforce COEs (Centers of Excellence) or participating in platform governance boards. · Exposure to AI/ML capabilities within Salesforce CRM Analytics or roadmap planning for advanced predictive models. Education · Bachelor’s degree in Computer Science, Data Science, Business, or Healthcare Administration required. · Master’s degree or equivalent experience in Product Management, Health Informatics, or Data Analytics preferred.

Job Description Tiger Analytics is looking for experienced Technical Program Manager to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Key Responsibilities • Manages the development and implementation of a company’s products and services to success, • Acts as Program manager - monitoring the program from initiation through delivery including planning and directing schedules. Gathers input from the project team and acts independently to develop a plan for projects of moderate to significant scope which may include novel products or services., • Uses established tools approaches/methodologies and templates to guide and document the plan and communicate it to the team. Gathers feedback from the team to revise and complete the plan as needed, • Lead multiple limited to moderate-scope projects simultaneously, or manage part of a larger program directly., • Programs may be moderate to complex in nature or one large program with cross-functional teams in numerous locations, • Lead development and delivery of key data and analytics projects within time and budget, • Drive solution design and build to ensure scalability, performance, and reuse, • Oversees the work of the project team (indirectly supervises) involving members from a wide range of disciplines including application engineering, • Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards., • Experience with modern data engineering principles, pipeline engineering, etc., • Proven track record of delivering enterprise-level ETL / Data-warehouse specific projects., • 10+ years of experience in managing technology programs as a program manager., • 5+ years experience in running either AWS/ GCP or Azure data projects., • Experience in Data Warehouse, Data Lake, and related technologies, • Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions, • Strong communication skills to meet with delivery teams and business-facing teams, • Experience with Healthcare industry projects Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

ETL Informatica Lead Branchville, New Jersey Job Type: Contract Job Description We are seeking an experienced ETL Informatica Lead to join our team on a contract basis in Branchville, United States. Troubleshoot and resolve complex ETL issues and errors. Stay up-to-date with industry trends and adva

A leading digital engineering solutions company based in Mexico is seeking professionals to design and implement ETL/ELT pipelines.

At Audible, we believe stories have the power to transform lives.It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners.We are dreamers and inventors who come from a wide range of backgrounds and experiences to emp

ETL developer Informatica Powercenter IICS Branchville, NJ (5 days per week (no remote or hybrid option).

ETL developer Informatica Powercenter IICS Branchville, NJ (5 days per week (no remote or hybrid option).

At Audible, we believe stories have the power to transform lives.It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners.We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.Experts contribute directly to how A