Data engineer jobs in Ventnor City, NJ

RESPONSIBILITIES Preparing comprehensive configuration files and staging devices (SUR, NexGen, Edge devices, Mobile Switching Centers, Core Edge Routers) for network launch. Participating in the design, installation, and ongoing maintenance of core and edge network infrastructure. Performing complex network migration work. Providing in-depth technical troubleshooting and resolution for critical network issues to ensure service stability. SKILLS 5-6 years of professional Network Engineering experience. Hands-on experience with at least one of the following major network vendors: Cisco, Juniper, or Nokia. In-depth, practical knowledge of core routing protocols, including OSPF, BGP, and MPLS. Familiarity with hardware such as Cisco MCS, ASR routers, and Juniper hardware is essential. Strong understanding of OSI layers L1, L2, and L3. Proven troubleshooting skills and experience performing complex migration work. Must be a collaborative and effective team player. NICE TO HAVE Relevant industry certifications such as CCNA or CCNP.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

About the Role As a Data Solutions Consultant, you will play a key role supporting multiple initiatives for enterprise and global customers. This role sits at the intersection of business, data, and technology, working closely with client stakeholders to turn complex requirements into scalable, cloud-based data solutions. You'll be responsible for gathering business requirements, defining and implementing data models, designing data pipelines, and ensuring insights are delivered to stakeholders in a clear, efficient, and impactful way. The work is performed in a modern cloud environment, leveraging AI-driven tools to improve productivity and accelerate outcomes. Key Responsibilities Partner with client stakeholders to gather, clarify, and translate business requirements Define and implement robust data models using a Medallion architecture Design and develop scalable, cloud-based data pipelines Build optimized, user-friendly reporting and analytics solutions Ensure data is accessible, reliable, and actionable for business stakeholders Contribute to innovative, AI-enabled approaches to data and analytics delivery Requirements Bachelor's degree in Computer Science, Engineering, or a related field 2+ years of hands-on experience delivering Data & Analytics projects in cloud environments Strong communication and collaboration skills with both technical and business stakeholders Strong problem-solving and analytical capabilities Proven experience designing and implementing data models in cloud-based environments (AWS, Azure, or GCP) Experience using generative AI tools to improve productivity and extract insights Strong SQL skills and solid understanding of database management systems Preferred Qualifications Master's degree in Computer Science, Engineering, or a related field Cloud or data engineering certifications Experience developing ETL pipelines using dbt

Requisition Title :Lead Data Engineer with PySpark ( 1 Day Onsite) Visa Status: GC/USC/H4 EAD Client : TD Bank Duration: Full Time /C2H Salary pay rate to candidates : $49-$56/hr W2 Experience : 12+ Years Primary Tech skills = Pyspark, Databricks (Hands-on experience mandatory) Secondary Tech skills = Azure, SAS, Synapse, Databricks MUST HAVE SKILLS : Techno-Managerial covers the entire life cycle of data warehouse and data cloud environment with experience in building data platforms development. Technical co-ordination with Product Group Technical Lead, Architecture team, Data engineering team, BSA, and QE Team for the assigned projects. Ability to drive more than one project in parallel. Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling Hands-on experience in Pyspark is a must. Experience working with structured and unstructured data. Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements. Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server Experience with Orchestration tools and GitHub Experience to own end-to-end development, including coding, testing, debugging and deployment. Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill Need to be an individual performer as well as a Lead.

Insight Global is seeking a Data Engineer for a long-term contract opportunity with a large Banking client. This person will leverage various statistical and advanced techniques to identify emerging risks, patterns and typologies to predict financial crime activities and risks. This team develops and maintains scalable data models to support the analytics framework, and provide actionable insight to multiple departments. They will also be responsible for all project/release testing (e.g. integration, business acceptance, performance, operability, deployment verification), and oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope. This role is focused on building data models for Analytics purposes, and help solve complex business issues relative to Financial Crimes. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5+ years' Data Engineering and Data Modeling experience - Python/PySpark Experience - Databricks experience - Experience building Data Models for Reporting/Analytics purposes - Ability to explain business problems solved by Data Models - Expert SQL level experience - Banking experience - Experience supporting Financial Crimes division

TD Bank is a member of TD Bank Group and a subsidiary of The Toronto-Dominion Bank of Toronto, Canada, a top 10 financial services company in North America. The Toronto-Dominion Bank trades on the New York and Toronto stock exchanges under the ticker symbol "TD". For more information visit ********** Job Description 1 Position - Data Modeler III ANSI SQL/ W2 basis + Benefit coverage| ASAP 6 Month Contract (possible extension up to 2 yrs.) Location: On site - Mount Laurel NJ Interview: 1 Phone and 1 in person with hiring manager This data modeler position requires strong ANSI SQL skills (preferably experience with Oracle), working dimensional data modeling experience and strong language and written skills to support creation of dictionaries, data mappings, and detailed design documentation. Dimensional data modeling experience is a must for this position; candidates without this experience should not apply. Qualifications MUST HAVE: ERWIN * 6 yrs ANSI SQL * 6 yrs OLTP * 6 yrs Oracle * 6 yrs RUP * 6 yrs MS Office * 6 yrs SQL * 6 yrs Dimensional Modeling experience * 6 yrs Data Warehousing * 6 yrs Data Marts * 6 yrs Data Administration * 6 yrs NICE TO HAVE: Power Designer Financial/Banking industry experience Teradata FSLDM Logical Data Models SKILLS: Experience in designing physical models for data warehouses and data marts. Expertise in dimensional modeling; working knowledge of the Teradata or IBM Financial Services Logical Data Models is a plus. Experience in Oracle database design including the ability to perform impact analysis of data structure changes. Expertise in ERWIN, OLTP, SQL, RUP, Oracle and MS Office Tools is required; Power Designer experience is also helpful but not required. Strong ANSI SQL skills are required for this position. Additional Information All your information will be kept confidential according to EEO guidelines.

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished 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. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 ************** or via email at [email protected]. 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 [email protected] 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).

Title: AI/ML Data Engineer Duration: 12+ Months Contract About the Role We are seeking a highly skilled and motivated AI Engineer to join our data and analytics team. This role is ideal for someone passionate about building intelligent data-driven solutions using cutting-edge technologies like Python, PySpark, Microsoft Fabric, Power BI, and SQL. You will play a key role in designing, developing, and deploying scalable AI models and data pipelines that power business insights and automation. Responsibilities: Design and implement AI/ML models using Python and PySpark for large-scale data processing Build and optimize data pipelines using Microsoft Fabric (Data Factory, Synapse, Lakehouse) Develop interactive dashboards and reports in Power BI to visualize model outputs and KPIs Write efficient SQL queries for data extraction, transformation, and analysis Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions Deploy and monitor AI models in production environments Ensure data quality, governance, and compliance across all stages of the pipeline Preferred Qualifications Experience with Azure Machine Learning, Databricks, or similar platforms Knowledge of data governance frameworks and security best practices Exposure to LLMs, NLP, or generative AI tools is a plus Qualifications Required Skills & Qualifications 3+ years of experience in AI/ML engineering or data engineering roles Strong proficiency in Python for data science and machine learning Hands-on experience with PySpark for distributed data processing Solid understanding of Microsoft Fabric components (Data Factory, Synapse, Lakehouse) Expertise in Power BI for data visualization and storytelling Advanced SQL skills for data manipulation and performance tuning Familiarity with MLOps practices and cloud platforms (Azure preferred) Excellent problem-solving and communication skills Additional Information

Description Background Information:Innovative Defense Technologies(IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview:The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include: Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability Leverage state-of-the-art theory and technologies to solve complex problems Establish and leverage Big Data frameworks to store, extract and analyze relevant data Develop software solutions by understanding customer requirements and program intent Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions Be responsible for solutions that meet software design, quality, and performance requirements Work with minimal supervision in a collaborative work environment to implement best-in-class solutions Minimum Required Qualifications: Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master's Degree in Data Science or other technical field highly preferred 3+ years of experience in predictive modeling, data science and analysis Required Skills: Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE) Strong proficiency in Python Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc. Knowledge of data and information visualization principles and experience using related tools Preferred Skills: Strong software engineering background Skills with other programming languages, such as Julia, Java or C/C++ Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Experience with application container platforms Familiarity with continuous integration/delivery tools (e.g. Jenkins) Familiarity with version control tools (e.g. Subversion, Git, etc.) Familiarity with VMware or other virtualization software Experience developing applications for DOD command and control systems Familiarity with Large Language Models (LLM) and LLM parameter tuning Familiarity with network science and graph theory Competencies: Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive Attention to detail Strong sense of intellectual curiosity and desire to learn Initiative, creativity, reliability, teamwork Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment Price range: $90,000 - $150,000 or $114,000 - $184,000*Pursuant to New Jersey Senate Bill 2310, IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about New Jersey Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. EEO Statement:IDT is an Equal Opportunity employer.

Full-time Description The Data Engineer is responsible for migrating customer's data from their legacy software applications stored in databases, reports, and other forms of data file structures to the client's new Edmunds GovTech ERP system. This position will regularly engage with our customers and serve as a critical role on the project teams by developing conversion templates and conversion tools using Java, Python, SQL and other programming languages. $60,000 - $75,000 (Employer est) ROLE AND RESPONSIBILITIES WITH ESSENTIAL FUNCTIONS Develop data conversion programs using Java and other related technologies. Work with internal team members on mapping client's legacy source data. Validate that data conversions meet customer expectations and requirements. Utilize a variety of tools and programs to facilitate the data conversion process. Work on multiple project teams and handle competing priorities effectively. Deliver high-quality customer service. Requirements QUALIFICATIONS AND EDUCATION REQUIREMENTS Bachelor's Degree in MIS, Computer Science, Mathematics, Physics, or other degree that would provide the necessary skills to effectively develop programs, or equivalent work experience. 1-3 years of experience in professional services, client implementation, and/or data migrations. Working knowledge of multiple system/database platforms (MSSQL, Oracle, AS400, Windows, etc.) is a plus. Knowledge of generalized business practices, accounting reports, financial reports, and payroll reports is a plus. Working knowledge and abilities in programming using Java, Python, SQL, and other related technologies. Salary Description $60,000 - $75,000 Based on Experience

Job Description Python Data Controls Developer Mount Laurel, NJ - (3 days onsite role) FTE role& Minimum of 7 - 10 years of experience working in a financial institution, preferably in Global Banks Minimum of 7 - 10 years of experience in SQL development, including query optimization, stored procedures, and indexing. Strong working experience in Python for data manipulation, scripting, and automation Understanding of the Compliance domain and concepts i.e., Anti-Money laundering (AML), Know your Customer (KYC), Customer Risk Rating etc. is a must Minimum of 5 - 7 years of experience in data (data lifecycle, data governance, data quality, Metadata, Data issue resolution and other data concepts)

We are FIS. Our technology powers the world's economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients, and communities. If you are ready to start learning, growing, and making an impact with a career in fintech, we would like to know: Are you FIS? What you will be doing: * Identifies errors in calculations and balances and make corrections. * Receives and prepares physical documents for delivery to the sorting department. * Performs online reject-repair using a CRT and physical documents. * Physically repairs rejects. * Prepares transit cash letters. * Prepares and dispatches client statements and adjustments as needed. * Prepares cash letter of return items. * Performs data entry on an input device/application. * Reconciles and properly documents all out of proof conditions. * Compares work product with word standards for accuracy. * Other related duties assigned as needed. Schedule: 3rd shift. Sunday night- Friday morning 11pm-730am est. On-site role What you bring: High school diploma or GED * Capacity to lift or move up to 30 pounds * Proficient written and oral communication skills in dealing with employees or external customers/clients * Knowledge of procedures used to segregate and distribute output * Knowledge of balancing and correction procedures * Proficient in entering data into various PC software packages * Proficient in classifying computer output * Knowledge to operate a computer effectively and utilize software packages required by the position * Proficiency to encode 1,000-1,500 items per hour What we offer you: * A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities * A modern, international work environment and a dedicated and motivated team * A competitive salary and benefits * A work environment built on collaboration, flexibility, and respect * Varied and challenging work to help you grow your technical skillset Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Senior Data Modeler/Data Architect Duration: Fulltime / Contract Experience: 14-15 + Years Primary Skills: Data Vault, Data modeling with Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio) Job Description: We are seeking a skilled Sr. Data Modeler to join our team and contribute to the design and implementation of scalable and efficient data models. The ideal candidate will have experience with Data Vault techniques, proficiency in Cloud Azure, and good to have working knowledge with Databricks. Responsibilities: Data Modeling: Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures. Create and maintain conceptual, logical, and physical data models to support business requirements. Collaborate with stakeholders to understand data requirements and translate them into effective data models. Implement best practices for data modeling, including normalization, denormalization, and data integration. Data Vault Implementation: Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources. Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking. Optimize data vault models for performance and scalability. Cloud Azure: Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Ensure data security, compliance, and best practices in Azure environments. Collaboration and Communication: Work closely with data engineers, data scientists, and business analysts to understand data needs and ensure data model alignment. Provide technical guidance and support on data modeling best practices and Data Vault principles. Document data models, data flows, and integration processes clearly and comprehensively. Data Modelling tools Azure: Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio) Requirements: Bachelor s degree in Computer Science, Information Systems, or a related field (Master s degree preferred). Proven experience in data modeling, with a strong focus on Data Vault techniques. Proficiency in Cloud Azure services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Understand/Knowledge with Databricks and its ecosystem. Strong understanding of data warehousing concepts, Data Lake house, ETL processes, and data integration techniques. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Relevant certifications in Azure and Databricks are a plus.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Title: Software Engineer Location: Mount Laurel, NJ Duration: 12 Months Job Description • Scripting Languages: Python, Perl • Databases: MySQL/NoSQL • Environment: Agile • Understanding of networking protocols • Good Interpersonal/ Communication skills Additional Information Best Regards, Amit ModiTechnical RecruiterArtech Information Systems Contact No: ************

Job DescriptionJob Title: Cyber Software Engineer - TS/SCI Required Clearance Requirement: Active Top Secret/SCI Cohere Technology is seeking a Cyber Software Engineer to support advanced cyber capability development in Cherry Hill, NJ. The ideal candidate has hands-on experience building secure and mission-oriented tools across Windows and Linux environments, thrives in agile teams, and is passionate about solving complex cyber challenges in support of national defense. Key Responsibilities: Design, develop, test, and maintain secure software capabilities for cyber operations Perform low-level systems programming on both Unix/Linux and Windows platforms Collaborate with cross-functional teams to deliver integrated cyber solutions Conduct reverse engineering, protocol analysis, and tool optimization Develop and execute unit and integration tests; contribute to containerized testing environments Participate in Agile development cycles including sprint planning, reviews, and retrospectives Leverage scripting and compiled languages (Python, C, C++, Java) for tool development Support DoD and mission-aligned stakeholders with technical implementation and guidance Required Qualifications: Bachelor's degree in Software Engineering, Cybersecurity, Computer Science, or related field Minimum of 1 years of experience in software development Proficient in Python, C, C++, Java Familiarity with secure coding practices, reverse engineering, and x86 assembly Experience in Agile/Scrum environments Active Top Secret/SCI clearance required Preferred Qualifications: Familiarity with tools such as Ghidra, Wireshark, XKEYSCORE, or similar Experience with custom protocol development, vulnerability analysis, or cyber toolkits Knowledge of containerization (e.g., Docker), CI/CD pipelines, and automated testing Background in training or mentoring junior developers Prior military or defense contracting experience is a plus Why Join Us: Work on impactful cyber missions that directly support national security Collaborate with technical experts in a fast-paced, agile environment Flexible relocation support and career advancement opportunities Competitive compensation and benefits package Powered by JazzHR Ma87sWVHtF

Job Brief: The Software Engineer is responsible for assisting in developing and designing a product that RVE and associates will love. As a Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineers may be involved in product configuration, security, resilience, performance tuning and production monitoring. Responsibilities: Delivers and Executes 60% - Assists in developing, testing, deploying, and maintaining software; Follows best practices established by the organization and participates in improvement conversations; Consistently helps the team achieve results. Learns and Grows 20% - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels Plans and Aligns 20% - Builds partnerships and works collaboratively with others to meet shared objectives; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people Skills Required: Understanding of core technologies, toolsets, and common workflows Strong understanding of data structures, data-oriented design, object-oriented design and software engineering methodologies. Ability to read and debug other engineers' code. Strong knowledge of C/C++ programming languages. Undergraduate degree in Computer Science or related field; or equivalent education and experience.

Job DescriptionAbout the Role ApolloTech MSI is currently seeking a talented and experienced Software Engineer to join our dynamic team. This is a full-time position based in Picatinny Arsenal, NJ. As a Software Engineer, you will be responsible for designing and developing software applications and systems that meet the needs of our diverse client base. You will be working with a small team to design different software architectures. You will be working with embedded platforms, such as Nvidia Jetson, to have robotic control and AI/ML capabilities at the edge and will use Gitlab for distributed source code control. This role requires strong technical skills, excellent problem-solving abilities, a passion for delivering innovative software solutions, and the ability to travel approximately 10%-20% of time. The ideal candidate has experience in application design, development, testing, and deployment. You should have expertise in various programming languages, frameworks, and technologies as well as the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Requirements Qualifications Bachelor's, Master's, or Ph.D. degree in Computer Science, Software Engineering, or a related technical field Strong proficiency in several programming languages including C++, Python, and Kotlin Familiarity creating software architecture designs for embedded systems that use C++ and ROS2 Experience working with Nvidia Jetsons Experience working with Unreal Engine is a plus Excellent problem-solving, analytical, and presentation skills Strong communication and collaboration abilities Ability to work both independently and in a team environment US Citizenship is required for this role due to security clearance requirements Ability to obtain and maintain Secret Clearance Join ApolloTech MSI ApolloTech MSI offers a challenging and rewarding work environment where you can make a meaningful impact. Join a team of talented professionals dedicated to delivering innovative software solutions and contributing to the success of our clients. If you are a skilled Software Engineer looking for a new opportunity, we invite you to apply and be part of our dynamic team. EEO An Equal Opportunity Employer including Disability/Veteran. Please send resumes to *************************. Benefits Health Insurance, Dental and Vision Insurance 401k with a match up to 6% 10 Federal Holidays Up to 4 weeks of PTO

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties • Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Hi, Hoping all is well. We have a job opportunity for you: TDbank, IT - D ata Modeler/Data Analyst /W2 basis + Benefit coverage. And TDBank provides great experience and has great people to work along side. Hoping you would consider and I'm looking forward to hearing from you. Please check the job description below. And kindly send this info to your friends who would be interested. Thanks much! ============================================= Job #196345 | US - IT - Data Modeler/Data Analyst | Toronto Dominion Bank 6 Month Contract(possible extension up to 2 yrs) Location: Mount Laurel - will consider 2-3 days a week remote however must be able to come into the office, interviews will be in person so no relocation considered Manager is seeking a Data Modeler/Data Analytic to join DCTS team. The Senior Data Analyst will be responsible for extracting, staging, storing, migrating, hashing, and analyzing TD Bank (USA) data across multiple channels and product sets. The successful candidate will develops logical data models, conduct data mining, and integrate/match data across different data sets for analytical purposes, and segmentation methodologies to address a wide array of business issues, objectives and strategies. Responsibilities: Develop database models and supporting documentation in order to meet business requirements. Define data requirements and business rules, perform logical and physical data modeling, implement and test database design. Coordinate data models. Dictionaries and other documentation across multiple applications Job Responsibilities: • SME (Subject Matter Expert) to establish, communicate and execute measurement and analytical strategies for TD Bank (USA). Design model/methodology to integrate raw data across different data sources • Analyze trends & data in both internal and vendor-supplied data to interpret customer relationships and make appropriate recommendations to key stakeholders within the organization. • Support Channels initiatives for TD Bank (USA) with data extraction, migration, storage, integration, and analysis, business cases and providing monthly trended forecast and plan information. • Working with key stakeholders and other members of the Digital Customer Insights team define and manage online customer insights through definition of KPIs, web metrics capabilities and reporting. • Provide value-added data analysis and anticipate the requirements of the Online Channel stakeholders. • Contribute to presentations for senior management that clearly and concisely present findings and recommendations. • Working with other members of the Digital team and tech define and establish standards, processes and policies for an online datamart. • Participate in the education of business partners in the area of data analytics. • Stay abreast of industry trends and innovations and drive new analytics initiatives that contribute to business goals. Qualifications MUST HAVES Experience in developing logical/physical models for operational systems, Experience in database administration and impact analysis of data structure changes. 5+ years experience in the following ERWIN OLTP SQL or SAS RUP Oracle MS Office Tools Must have worked with Large Data - ability to create and manipulate Data Models 1 year experience with Hadoop PGP encryption Nice to have Data ware house background Skills: • Undergraduate university degree in business, statistics or analytically-based discipline, or equivalent experience; having a post graduate degree would be an asset. • Experience working with Data Warehouse environments and applications • Data mining and modeling capabilities with a solid background working with large data sets. • Excellent analytical, organization and presentation skills. A drive to understand the relationships between divergent data metrics. • Experience with cross-channel and data that spans multiple product groups • Experience with data sanitization such as masking, hashing, and obfuscation algorithms • Experience with data extraction, transformation, loading and governance. • Experience with the following software and tools: • Microsoft Office • SAS and SQL • Business Intelligence software such as Tableau, Crystal Reports, Business Objects or Cognos • SQL Server • SAS (PC and Host versions) • Win SQL • Encryption products like WinZIP and PGP • Experience with Web Analytics Applications like Adobe/Omniture, Google Analytics, Coremetrics would be an asset. • Strong online/web/digital experience and knowledge of the latest user trends and behavior. • A strong focus on attention to detail, accuracy and on-time delivery • Ability to work independently as well as a contributing member of the team. • Ability to prioritize competing tasks in a deadline-driven environment. • Strong interpersonal skills. 5-7 years experience required. Additional Information All your information will be kept confidential according to EEO guidelines.

Duration: Fulltime / Contract Experience: 14-15 + Years Primary Skills: Data Vault, Data modeling with Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio) Job Description: We are seeking a skilled Sr. Data Modeler to join our team and contribute to the design and implementation of scalable and efficient data models. The ideal candidate will have experience with Data Vault techniques, proficiency in Cloud Azure, and good to have working knowledge with Databricks. Responsibilities: Data Modeling: Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures. Create and maintain conceptual, logical, and physical data models to support business requirements. Collaborate with stakeholders to understand data requirements and translate them into effective data models. Implement best practices for data modeling, including normalization, denormalization, and data integration. Data Vault Implementation: Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources. Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking. Optimize data vault models for performance and scalability. Cloud Azure: Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Ensure data security, compliance, and best practices in Azure environments. Collaboration and Communication: Work closely with data engineers, data scientists, and business analysts to understand data needs and ensure data model alignment. Provide technical guidance and support on data modeling best practices and Data Vault principles. Document data models, data flows, and integration processes clearly and comprehensively. Data Modelling tools Azure: Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio) Requirements: Bachelor s degree in Computer Science, Information Systems, or a related field (Master s degree preferred). Proven experience in data modeling, with a strong focus on Data Vault techniques. Proficiency in Cloud Azure services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Understand/Knowledge with Databricks and its ecosystem. Strong understanding of data warehousing concepts, Data Lake house, ETL processes, and data integration techniques. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Relevant certifications in Azure and Databricks are a plus.