Data engineer jobs in West New York, NJ - 5,153 jobs

Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing. Responsibilities This role will be responsible for Compiling periodical fund performance analyses Review and analyze portfolio performance data, benchmark performance and risk statistics Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems Apply queries, pivot tables, filters and other tools to analyze data. Maintain client relationship management database and providing reports to Directors on a regular basis Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization Provide various ad hoc data research and analysis as needed. Desired Skills and Experience Bachelor's Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience Proficiency in Microsoft Office, particularly Excel Modeling Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint Outstanding communication skills, proven ability to effectively work with all levels of Managment Comfortable working in a fast-paced, dead-line driven dynamic environment Innovative and creative thinker Must be detail oriented

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts. Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools. Integrate and transform data from multiple systems, including ERP platforms such as NetSuite. Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability. Support and enhance Power BI dashboards and other BI/reporting systems. Implement data quality checks, automation, and process monitoring. Collaborate with business and analytics teams to translate requirements into scalable data solutions. Contribute to data governance, standardization, and documentation practices. Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts). Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows. Strong SQL skills and experience with Microsoft SQL Server. Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik). Understanding of data modeling, performance optimization, and relational database design. Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation. Excellent analytical and communication skills. Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP). Understanding of data security, governance, and compliance (GDPR, SOC2). Experience with API integrations and real-time data ingestion. Background in finance, supply chain, or e-commerce analytics. Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: Experience implementing AI-driven analytics or automation inside Data Warehouses. Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights. Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL. Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC). Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design. Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools. Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate complex technical concepts to business stakeholders. Detail-oriented, organized, and self-motivated. Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack SQL Server, SSIS, Azure Synapse Python, Airflow, Azure Data Factory Power BI, NetSuite ERP, REST APIs CI/CD (Azure DevOps, GitHub) What We Offer Location: New York, NY (Hybrid work model) Employment Type: Full-time Compensation: Competitive salary based on experience Benefits: Health insurance, 401(k), paid time off Opportunities for professional growth and participation in enterprise AI modernization initiatives

Principal Data Engineer - New York (Hybrid, 3 days on-site) Package: Competitive - Looking for experienced ICs, package will be based on interview performance. We are partnering with a fast-growing global Data and AI Consultancy to hire Principal Data Engineers. This is an exciting opportunity for someone who loves complex problem-solving, cutting-edge technology and working across multiple clients and industries (predominantly regulated spaces: finance, insurance and health care + more). The ideal candidate is passionate about data engineering and has a background in building robust pipelines, and helping businesses leverage their data for meaningful impact. Key Responsibilities Design, build, and maintain data pipelines to ingest, transform, and load data reliably. Implement and manage data lakes and warehouses for scalable and secure access. Ensure systems are reliable, secure, and cost-effective. Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions. Work with modern data tools and cloud platforms to optimise performance and scalability. Technical Skills & Experience Strong experience in Python, Spark, and Airflow. Hands-on knowledge of Snowflake, Databricks, BigQuery, or Neo4J. Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks. Cloud experience with AWS, Azure, or GCP. Proven track record building scalable, reliable, and secure data solutions. Comfortable problem-solving across large, complex datasets and systems. STEM degree from a top university We're open to candidates with and without consulting backgrounds but you must be excited about working with leading global brands and directly with customers. If you're interested in hearing more about this opportunity, please include you most up to date CV.

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing's computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai's scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.). Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing. Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency. Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members. Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research. Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc. Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently. Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment. Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources. Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai. Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization's infrastructure up-to-date. Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai. Provide after-hours support as needed. Perform other duties as assigned or requested. Requirements: Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred. 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment. Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc. Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare). In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system Experience with secure enclaves and confidential computing. Proven ability to provide mentorship and technical leadership to team members. Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance. Excellent analytical ability and troubleshooting skills. Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused. Scripting and programming experience. Preferred Experience Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures. Experience with Azure, AWS or Google cloud services. Experience with LSF job scheduler and GPFS Spectrum Scale. Experience in a healthcare environment. Experience in a research environment is highly preferred. Experience with software that enables privacy-preserving linking of PHI. Experience with Globus data transfer. Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Data Engineer New York, NY: $176,500 - $201,400 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We areseekingan experienced and forward-thinking Solution Architect - Data Engineeringto lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have deep expertise with Python and SQL, experience with data warehouses (Snowflake or something similar), a strong command ofengineering best practices(includinglinters and code formatters, project organization, and managing environments), and practical experience building CI/CD pipelinesto ensure robust, automated delivery of data pipelines and services. Responsibilities Architect Scalable Data Solutions Design and implement end-to-end data engineering architectures that are scalable, maintainable, and performant across batch and real-time processing systems. Engineering Leadership Lead by example with high-quality Python code,utilizinglinters (e.g.,pylint,flake8,black) and enforcing code cleanliness, readability, and best practices across teams. CI/CD Pipeline Development Build, manage, and optimize CI/CD pipelines using tools such as GitHub Actions,GitLab CI,CircleCI, or Jenkinsto automate testing, code quality checks, and deployment of data engineering components. Data Governance & Quality Establish data validation, logging, and monitoring strategies to ensure data integrity and reliability at scale. Collaborate Cross-Functionally Work closely with data scientists, software engineers, DevOps, and business stakeholders to translate requirements into technical solutions and ensure alignment with overall enterprise architecture. Mentorship & Code Reviews Provide guidance to junior developers, lead technical reviews, and enforce clean coding standards throughout the data engineering team. Required Skills & Experience 7+ years of experience in software or data engineering, with 3+ years in an architectural or technical leadership role. Expert-levelproficiencyin Python and SQL, with a deep understanding of best practices, performance tuning, and maintainable code patterns. Proven experience withlinters,formatters, and other static analysis tools to ensure code quality and compliance. Hands-on experience designing and implementing CI/CD pipelinesfor data pipelines, APIs, and other backend services. Solid knowledge of modern data platforms and technologies (e.g., Spark, Airflow,dbt, Kafka, Snowflake,BigQuery, etc.). Strong understanding of software engineering practices such as version control, testing, and continuous integration. Desired Skills & Experience Experience working in cloud environments (AWS, GCP, or Azure). Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Understanding of security, compliance, and governance in data pipelines. Excellent communication and documentation skills. Strong leadership presence with the ability to mentor and influence teams. Problem-solver with a focus on delivering value and simplicity through technology. Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications. Employment Transparency It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email . Salary Range$200,000-$220,000 USD

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role The Data & Analytics Architect will be responsible for designing, developing, and implementing data & analytics solutions that empower data-driven decision-making for our clients. This role requires a strategic thinker with deep technical expertise in BI platforms, data modeling, and analytics, combined with strong consulting and client-facing skills. The ideal candidate must be self-directed and comfortable supporting multiple data solution implementations and client presales/sales scoping opportunities. The right candidate will be excited by the prospect of optimizing or even re-designing existing data platforms and solutions to support next generation of products and data initiatives, powered by AI. The candidate is expected to lead large data projects and teams across multiple client engagements. Responsibilities include: Solution Design & Architecture: Define data solution architecture, including data integration, data warehousing, and reporting frameworks. Develop scalable and secure data solutions aligned with client business objectives. Data Modeling & Integration: Design and optimize data models for analytics and reporting. Oversee ETL processes and ensure data quality and governance. Client Engagement & Consulting Collaborate with clients to understand business requirements and translate them into technical solutions. Provide thought leadership on BI best practices, emerging technologies, and industry trends. Assist in Presales and client problem definition phase of an Azure data engagement. Work closely with the presales engineers to design the best-in-class Azure data solution and scoping to satisfy client requirements. Ability to handle multiple client engagements in different stages of the implementation lifecycle. Platform Expertise: Implement and manage BI tools (e.g., Power BI, Tableau, Qlik, Looker). Ensure integration with enterprise systems and cloud platforms (Azure, AWS, GCP). Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Performance Optimization: Monitor and enhance data system performance, scalability, and security. Establish standards for dashboards, KPIs, and reporting. Practice Leadership: Provide hands-on guidance, mentoring, and validation for the project teams during the implementation of the client engagement. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Required Skills and Professional Experience Bachelor's degree or equivalent experience and/or military experience 7+ years in data solution build and architecture roles 10+ years of advanced working SQL knowledge and experience, with experience across multiple data modeling patterns Experience with defining and executing on a data strategy a plus Preferred Skills and Professional Experience Experience on Azure and GCP data stack is definitely a plus Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power of Generative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit ***************** ***** Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. DCW Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

We are seeking an experienced and innovative Data Architect to lead the design, development, and optimization of our enterprise data architecture. This individual will play a critical role in aligning data strategy with business objectives, ensuring data integrity, and driving value from data across multiple platforms. The ideal candidate will have deep expertise in data architecture best practices and technologies, particularly across SAP S/4 HANA, Veeva CRM, Veeva Vault, SaaS platforms, Operational Data Stores (ODS), and Master Data Management (MDM) platforms. This is a full-time, position reporting to the Director, Enterprise Architecture ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, and maintain scalable and secure enterprise data architecture solutions across SAP S/4 HANA, Veeva CRM, and Veeva Vault environments. Serve as a subject matter expert for Operational Data Stores and Master Data Management architecture, ensuring clean, consistent, and governed data across the enterprise. Collaborate with cross-functional teams to identify data needs, establish data governance frameworks, and define data integration strategies. Develop data models, data flows, and system integration patterns that support enterprise analytics and reporting needs. Evaluate and recommend new tools, platforms, and methodologies for improving data management capabilities. Ensure architectural alignment with data privacy, regulatory, and security standards. Provide leadership and mentoring to data engineering and analytics teams on best practices in data modeling, metadata management, and data lifecycle management. Contribute to data governance initiatives by enforcing standards, policies, and procedures for enterprise data. QUALIFICATIONS/KNOWLEDGE: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Minimum of 8+ years of experience in data architecture, data integration, or enterprise data management roles. Proven experience in designing and implementing data solutions on SAP S/4 HANA, including integration with other enterprise systems. Strong hands-on experience with SaaS platforms, including data extraction, modeling, and harmonization. Deep understanding of Operational Data Stores and MDM design patterns, implementation, and governance practices. Proficiency in data modeling tools (e.g., Erwin, SAP PowerDesigner), ETL tools (e.g., Business Objects Data Services, SAP Data Services), and integration platforms (e.g., MuleSoft). Familiarity with cloud data architecture (e.g., AWS, Azure, GCP) and hybrid data environments. Excellent communication and stakeholder management skills. OTHER: Experience with pharmaceutical, life sciences, or regulated industry environments. Knowledge of data privacy regulations such as GDPR, HIPAA, and data compliance frameworks Ability to travel domestically and internationally as needed for high priority projects Novocure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veteran and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Novocure is committed to providing an interview process that is inclusive of our applicant's needs. If you are an individual with a disability and would like to request an accommodation, please email ABOUT NOVOCURE: Our vision Patient-forward: aspiring to make a difference in cancer. Our patient-forward mission Together with our patients, we strive to extend survival in some of the most aggressive forms of cancer by developing and commercializing our innovative therapy. Our patient-forward values innovation focus drive courage trust empathy #LI-RJ1

About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit **************** Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO) Position Summary: We are seeking a highly motivated and talented Data Engineer to join our team and play a critical role in shaping the future of healthcare data management. This individual will be a key contributor in building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes. Position Responsibilities: Lead relationship with operational and analytics teams to translate business needs into effective data solutions Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift Conduct rigorous testing to ensure the flawless execution of data pipelines before production deployment Identify, recommend, and implement process improvement initiatives. Proactively identify and resolve data-related issues, ensuring system reliability and data integrity Lead moderately complex projects. Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field 2+ experience working with Airflow, dbt, and Snowflake Expertise in data warehousing architecture techniques and familiarity with Kimball methodology Minimum 3+ years experience with a proven track record as a Data Engineer, displaying the ability to design, implement, and maintain complex data pipelines 1+ year experience in Python, SQL Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges Preferred Qualifications: 1-3 years of experience as a Data Engineer, ideally in the healthcare or PBM sector Advanced proficiency with Airflow, dbt, and Snowflake, coupled with 3+ years of SQL development and Python experience This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Salary Range$120,000-$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at*********************************************

AI is only as powerful as the tools it can access. Model Context Protocol (MCP) is emerging as the standard for connecting AI to tools & systems-but enterprises can't adopt it safely without security, observability, and control. That's where we come in. At Runlayer, we're building the AI enablement layer for modern enterprises. Our platform enables organizations to safely connect agents to their systems through MCP, with the security, auditability, and management enterprises demand. We're a well-funded early-stage team that built Zapier's AI platform. We're hiring a Senior Forward Deployed Engineer (US-EU time zones) to work directly with our top enterprise customers, building custom MCP solutions and solving ad-hoc problems with code and AI. Why You'll Thrive Here Impact: Build and deploy custom MCP servers that directly enable AI capabilities for the world's best companies, seeing immediate impact on their operations. Excellence: Work alongside top-tier engineers and directly with enterprise customers, learning from both technical challenges and business needs. Ownership: Take full ownership of customer relationships and technical solutions, from initial problem discovery through deployment and iteration. What You'll Do Build bespoke MCP servers for enterprise customers. You'll architect, develop, and deploy custom MCP servers tailored to each customer's specific systems, APIs, and workflows. Work directly with customers to understand their needs. You'll conduct discovery sessions, technical deep-dives, and ongoing collaboration to ensure solutions meet their exact requirements. Solve ad-hoc problems with code and AI. You'll tackle unique integration challenges, data transformation needs, and custom workflow requirements using both traditional coding and AI-assisted development. Iterate rapidly based on customer feedback. You'll continuously improve and extend MCP servers based on real-world usage patterns and customer requests. Bridge technical and business requirements. You'll translate business needs into technical specifications and communicate technical constraints to business stakeholders. Contribute to our MCP platform and tooling. You'll help improve our core platform based on insights gained from customer deployments and common patterns you identify. What We're Looking For Senior engineering expertise. 4+ years of software engineering experience with proficiency in Python, TypeScript/JavaScript, and modern development practices. Customer-facing experience. Proven track record of working directly with enterprise customers, understanding their needs, and delivering technical solutions that meet business requirements. API and integration experience. Deep experience building integrations with various APIs, databases, and enterprise systems. Understanding of authentication, data transformation, and error handling patterns. AI and LLM familiarity. Experience working with AI/ML systems, understanding of LLM capabilities and limitations, and comfort with AI-assisted development workflows. Problem-solving mindset. Ability to quickly understand complex business problems, break them down into technical components, and build pragmatic solutions. Communication skills. Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Rapid prototyping abilities. Comfort with building quick prototypes and MVPs to validate approaches before full implementation. Bonus qualifications MCP or agent framework experience. Direct experience with Model Context Protocol, FastMCP, Vercel AI sdk, Agents SDK, LangGraph, or similar AI agent frameworks. Enterprise software experience. Background working with enterprise systems like Salesforce, ServiceNow, Jira, Slack, or similar platforms. DevOps and deployment experience. Experience with containerization, cloud deployments, and CI/CD pipelines for customer-facing solutions. Security and compliance knowledge. Understanding of enterprise security requirements, data privacy, and compliance frameworks. What We Offer We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers. Competitive salary and equity - compensation that reflects your expertise and customer-facing responsibilities. Paid time off - 4 weeks paid vacation, paid sick leave, and paid parental leave. Professional development - budget for conferences, courses, and certifications in AI, enterprise software, and customer success. Top-tier equipment - your choice of laptop and accessories to create your ideal work environment. Health benefits - comprehensive health, dental, and vision coverage. Customer interaction opportunities - work directly with innovative companies and see the immediate impact of your work. Not quite the right fit? Reach out to ******************** with details about your experience and interests. #J-18808-Ljbffr

As a Forward Deployed AI Engineer at Charta, you'll play a pivotal role in deploying, customizing, and optimizing cutting-edge generative AI healthcare solutions directly for our clients. At Charta, we're pioneering a transformative approach to healthcare billing through the power of generative AI. Our mission is to revolutionize this critical yet often cumbersome aspect of healthcare, empowering medical billers and coders with tools that elevate their efficiency by leaps and bounds. Our innovative AI technology enables these professionals to operate at an astounding 10x to 100x more efficiently, while significantly reducing operational costs to just 2% of the standard expense. In an industry where the focus should rightly be on patient care and clinical services, Charta steps in to ensure that healthcare providers are unburdened from the complexities of non-clinical operations. Our cutting-edge solutions are designed to handle the intricacies of the revenue cycle, freeing up healthcare professionals to concentrate on what they do best - caring for patients. Our vision at Charta is to create a seamless, efficient, and cost-effective billing process that is invisible yet indispensable. By entrusting us with the operational challenges, healthcare providers can redirect their resources and attention towards patient-centric services, secure in the knowledge that their billing needs are expertly managed. Join us in our journey to redefine healthcare billing, and be a part of a team that's making a tangible difference in the world of healthcare. About the Opportunity As a Forward Deployed AI Engineer at Charta Health, you will be at the forefront of deploying and customizing AI-powered solutions for our clients. You will work directly with healthcare providers to understand their unique challenges and translate them into practical, data-driven solutions using AI and machine learning. This role requires a blend of technical expertise, problem-solving skills, and a strong customer-centric mindset. You will thrive in a dynamic environment, rapidly deploying and iterating on solutions to deliver immediate value. What You'll Do: Collaborate closely with healthcare clients to understand their workflows and identify opportunities to leverage AI and machine learning. Customize and deploy Charta Health's AI-driven platforms to address specific client needs. Rapidly prototype and iterate on solutions, adapting to client feedback and evolving requirements. Break down complex projects into actionable steps and deliver results in ambiguous environments. Explore and integrate a wide range of AI/ML technologies, adapting to the diverse needs of our clients. Provide technical expertise and support to clients, ensuring successful deployment and adoption of our solutions. Work closely with our internal engineering team to provide feedback and contribute to product development. Stay up-to-date with the latest advancements in AI/ML and their applications in healthcare. You'd be a great fit if you have: Proficiency and practical coding skills, with a focus on delivering tangible results. Adaptability and the ability to quickly learn and master new technologies and concepts. A priority on delivering business value over solving purely theoretical challenges. A desire to explore a wide range of technologies and problems, rather than specializing in one area. The ability to thrive in ambiguous environments and rapidly produce results. The ability to excel at breaking down complex projects into actionable steps. Resilience and resourcefulness, allowing you to overcome obstacles and find creative solutions. Ambition and a desire for a high-growth opportunity. Strong emotional intelligence, excellent communication, and interpersonal skills. Excitement about working with external customers and building strong relationships. A genuine interest in the medical field and a passion for improving healthcare. Nice to Have: Experience and/or demonstrated interest in healthcare Proficiency in Python. Experience with Large Language Models (LLMs) and prompt engineering. Experience with neural networks and machine learning What We Offer: Competitive salary and comprehensive benefits package, including health, dental, and vision. Equity & growth opportunities in a fast-growing, innovative tech startup. Ongoing professional development and access to cutting-edge AI and healthcare tools. Lively, in-person work culture at our SF Headquarters or NYC office. $120,000 - $250,000 USD depending on experience + Equity + Benefits Join us in our mission to transform healthcare through innovation! Our Commitment to Diversity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Who We Are Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock. We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7. The Role We are looking for a pragmatic Applied AI Engineer to join our engineering team. The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs. The Challenge Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data. You will solve problems like: Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents) from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible. Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis. Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen. What You'll Do Engineer the Integration: Writing production-grade code that interacts with external AI APIs "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools. Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user. Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval. Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand. What You'll Bring Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails. Data Handling: Experience with handling complex data structures. The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features. Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices. Nice to Have Experience with AWS infrastructure. Familiarity with the US Real Estate, Title, or Escrow process. What We Offer Working in a transparent environment which focuses on solving problems and getting things done. The opportunity to work with very smart and driven people. The ability to grow your talents and career in a high-growth sector. A remuneration package that is based on the candidate's motivation, skills, and experience. How to Apply Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable.

This leading NYC construction & development firm have a 40-year history of delivering bespoke high-rise projects throughout the boroughs. They are currently looking for a Junior Preconstruction Manager / Project Engineer to provide preconstruction services across multiple concurrent multi-family projects valued between $50-200M. In this role, you will work closely with the VP and the existing team across the typical precon functions from estimating and buyouts through value engineering and project cost control. Whilst existing holistic preconstruction experience is preferred, they are also open to a project management professional with estimating experience who is looking to transition to the office/a preconstruction role. Either way, the role will require circa 2-5 years' experience, and a technical (engineering or architecture) degree. This is a great opportunity to grow your career with a leading developer-builder with a great reputation and a growing backlog of projects.

About the Role We are a stealth U.S. startup building a high-impact software platform that will redefine operations within our target industry. We are searching for a Founding Engineer who has previously built and shipped full software products, someone who can take ownership, work closely with the CEO, and help craft the product from the ground up. You will be building a platform that must be secure, fast, reliable, and scalable. Your work will shape the foundation of the company. Responsibilities Build the MVP quickly while maintaining clean, modern architecture Write production-level frontend, backend, and database code Implement platform security, authentication, and data protection Collaborate closely with the CEO on product decisions and sprint priorities Build internal tools, dashboards, and new features at startup speed Help shape engineering culture from day one Requirements Experience building software from end-to-end (solo or as a lead) Strong knowledge of React/Next.js, Typescript, Node.js, PostgreSQL or similar Ability to architect secure systems with best practices Entrepreneurial mindset, comfortable iterating quickly Open to equity-only compensation during initial phase Compensation Competitive founding-team equity Equity-only in the early phase Remote Path to salary after funding If this role resonates with you and you have built full products before, please apply. I review every application personally and would love to explore whether this could be a strong fit.

🚀 We're Hiring: Salesforce Engineer 📍 Hybrid to Yardley, PA OR Newark, NJ OR Boise, ID Professional Experience 3-5 years of hands-on Salesforce engineering/development experience. Proven success designing scalable Salesforce solutions for sales & commercial teams. Expertise in Apex, LWC, Visualforce, SOQL, APIs, and integration tools. Skills & Competencies Strong analytical and problem-solving abilities. Excellent communication skills - ability to clearly articulate work across teams is critical. Ability to excel both independently and collaboratively in a fast-paced environment.

Highrise | Brooklyn, NY (Hybrid) Highrise is a full-service Architecture, Expediting, and Development firm focused on complex New York City projects. We are seeking a high-level Senior Architect to join our in-house Brooklyn team and lead projects from design through construction. This is a hybrid position with 2-3 days remote and the remainder in our Brooklyn office. Role & Responsibilities Lead architectural design and documentation for new buildings and major alterations Manage Construction Administration (CA), including: RFIs, submittals, shop drawings, and field conditions Site visits and coordination with GC, consultants, and ownership Issue resolution during construction Ensure compliance with NYC Zoning, Building Code, Energy Code, and ADA Coordinate DOB filings and agency reviews Collaborate closely with ownership, expeditors, engineers, and development teams Review work and mentor junior staff Qualifications Licensed Architect preferred (NY license a strong plus) Proven experience in Construction Administration for NYC projects Deep working knowledge of NYC Code, Zoning, Energy, and ADA Strong development-driven project background Advanced proficiency in AutoCAD and Revit Able to independently manage projects from concept through CO What We Offer Very competitive compensation Generous PTO Hybrid schedule (2-3 days remote) Direct access to ownership and decision-making Long-term growth within a fast-growing firm High-quality NYC development projects 📍 Location: Brooklyn, NY 🗓 Schedule: Full-Time, Hybrid (2-3 days remote)

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You'll Do Own major full-stack product areas, driving features from design through production deployment. Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience 2+ years of full-time engineering experience, post-graduation working in a production environment. Strong experience developing full-stack applications using React, TypeScript, and Python. Experience scaling or shipping products at high-growth startups. Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). Proficiency with SQL and modern API development. Experience with Kubernetes, containerization, and microservice architectures. Experience working with at least one major cloud provider (AWS, GCP, or Azure). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400-$224,250 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Job Title: Software Engineer - Quadient Contract Duration: 12 Months Experience Required: 7-10 Years Job Description We are seeking an experienced Software Engineer - Quadient with strong expertise in Customer Communications Management (CCM) and Output Management solutions. The ideal candidate will have hands-on experience delivering end-to-end Quadient implementations, including template development, workflow automation, and enterprise integrations within a structured SDLC and Agile environment. Key Responsibilities Design, develop, and implement Customer Communications / Output Management solutions using Quadient. Perform analysis and rationalization of templates, including field mappings and creation of reusable, standardized templates. Develop and manage workflow automation scripts to optimize communication processes. Create schema definitions based on detailed data mapping documents. Build and maintain CCM templates with advanced pre-processing features such as: Sorting and grouping Dynamic content inserts Conditional logic Implement post-processing capabilities including: Barcode generation Document bundling Zip-code-based sorting Encryption of electronic documents Modify and enhance customer communications in alignment with evolving business requirements, including: Bulk and individual communications On-demand generation Postal packaging and delivery rules Enable customer communication preference capture and develop reporting and analytics around preferences. Integrate Quadient solutions with enterprise data systems and printer/output management solutions. Participate in full SDLC activities including requirements gathering, design, development, unit testing, deployment, and application support. Collaborate effectively within Agile/Scrum teams and contribute to sprint planning and delivery. Ensure compliance with quality, performance, and security standards, particularly within finance domain environments. Required Skills & Qualifications 7-10 years of overall software engineering experience. 4+ years of hands-on experience with Quadient development and output management, including Ricoh Process Director. Strong experience in Customer Communications Management (CCM) implementations. Proven expertise in template design, data mapping, workflow management, and automation scripting. Solid understanding of enterprise system integrations and print/output solutions. Strong SDLC knowledge with hands-on involvement across all phases. Experience working in Agile development environments. Prior experience in the Finance domain is required.

Our Client which is a large Investment Bank is urgently looking to hire a Sr. Abinitio Developer. Sr. Abinitio Developer. Hybrid - Need 3 Days onsite every week Number of Roles - 4 Nature of Employment - W2 or Salaried or Self Incorp ONLY ( No Third Party Vendor Resumes ) Create, maintain, and optimize ETL processes using the Ab Initio platform, collaborating with cross-functional teams to integrate data from various sources. Key responsibilities include designing and implementing data flows, performing data profiling and cleansing, and ensuring data quality. Senior roles also involve mentoring junior developers, providing technical direction, and handling production support and performance tuning. Design, develop, and implement data ETL (Extract, Transform, Load) processes using AB Initio. Collaborate with data architects and business analysts to understand data requirements and transform them into technical solutions. Perform data profiling, cleansing, and transformation to ensure data quality and consistency. Optimize data workflows and performance for efficient data processing. Create and maintain technical documentation related to AB Initio solutions. Troubleshoot and resolve data-related issues, ensuring data availability and accuracy. Develop and maintain metadata repositories and data lineage information. Collaborate with cross-functional teams to integrate AB Initio solutions into existing data architectures. Keep up-to-date with AB Initio software updates and industry best practices.