Data engineer jobs in Little Egg Harbor, NJ

Mount Laurel, NJ - (3 days onsite role) Mode of Hiring: Full Time Salary: Negotiable for right candidates 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)

Distinguished Data 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. Horzianal, Bank data organization to accelerate data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. Enable bank domains to produce and leverage modern data for a modern bank. The position focused on setting the technical vision, prototyping and driving the most complex data domain data architecture for the banking domains. In addition, partner closely with enterprise teams to develop highly resilient data platforms. 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 Responsibilities: 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 innersource 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 experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS 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. McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer Philadelphia, PA: $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Wilmington, DE: $239,900 - $273,800 for Distinguished 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).

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.

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

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

At NFI, we offer innovative, integrated, and customized solutions that span the entire supply chain. Whatever our customer's challenge is, we have the knowledge, technology, scale, and commitment to help them solve it. It's simply what we do. Are you passionate about transforming data into insights and enabling intelligent decision-making at scale? Do you thrive in modern cloud environments and want to help shape the future of data architecture for AI and machine learning? Join our innovative Data & Analytics team as a Senior Data Engineer, where you'll play a key role in designing and implementing enterprise-grade data solutions in our Azure ecosystem. You'll build robust, scalable data pipelines and dimensional models in our Synapse Enterprise Data Warehouse (EDW), while also helping lay the foundation for AI/ML integration using Azure's cutting-edge AI services. This is your opportunity to make an impact at the intersection of data engineering and applied intelligence - solving complex challenges today while architecting for the future. Responsibilities * 5+ years of experience in data engineering or related fields, with a strong focus on Azure Data Services, including: * Azure Synapse Analytics * Azure Data Factory * Azure Data Lake Storage (Gen2) * Azure Databricks * Experience working alongside Data Scientists to support end-to-end machine learning workflows in Azure Machine Learning, including: * Feature store integration * Experiment tracking and model versioning * Model deployment pipelines * Deep experience in building dimensional and star-schema models for analytical workloads. * Proficient in T-SQL and performance tuning of large-scale data queries. * Proven track record of building and managing robust ETL/ELT pipelines in production environments. * Understanding of real-time and batch data ingestion methods and tools. * Familiarity with data architecture frameworks, including lakehouse, data mesh, and data vault modeling (optional but preferred). * Knowledge of Python, PySpark, or other scripting languages used in data science pipelines is a plus. * Experience with Azure Cognitive Services or integrating external ML APIs is a strong advantage. * Strong foundation in Git-based workflows, DevOps, and CI/CD for data and ML pipelines. Qualifications * BA/BS degree strongly preferred, will consider comparable work experience. * 6-8 years of relevant experience is preferred. * Understands and makes well-reasoned decisions and tradeoffs within their area of expertise. * Demonstrates knowledge of industry trends and regularly seeks external expertise to accelerate their learning. * Clarifies success metrics and ties efforts toward delivering business value. * Emerging understanding of broader organizational context and goals. * An understanding of impact and success metrics helps to focus their efforts, as well as those of their function. We are excited to share that the base salary range for this position is $104,530.40 - $139,381.84. This position is also eligible for an annual discretionary bonus, targeted at 3%. NFI takes into consideration applicants' qualifications, experience, education, and geographic location when determining a starting rate of pay. Employees are also eligible for a robust benefit program, which includes Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Paid Time Off, and Paid Parental Leave, among other benefit plan options. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) LA County Applicants: The Company will consider qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws. Profit Center PC-1010 (US)

Please only apply to this position if you have the ability to work full-time from Collingswood, NJ, are a US Citizen, have your Green Card or Long Term Visa. SMARTER AGENT'S GOAL IS TO BUILD THE BEST DATA TEAM IN THE REAL ESTATE INDUSTRY Smarter Agent is one of the most widely used software platforms in the real estate industry and is integrated into the operations of many of the premier organizations in the residential real estate market. Our success is built on our expanding data capabilities and data services. We now have one of the largest real estate data services platforms in North America. With Smarter Agent, our customers do not have to overhaul their legacy software systems or keep up with fast paced new technologies in order to have a source of truth made up of accurate real estate data and continuous innovation. Our Data and Technology Teams are Best in Class in the Real Estate Industry Smarter Agent has a long history of innovation in the real estate markets and has built an industry leading team that has goals to dominate the real estate data market with their SAAS platform. Members of Smarter Agent have been granted US patents for location based mobile search, branding and advertising, with 5 granted patents issued since May 2013 and 2 granted in 2017. Smarter Agent was the first to introduce a cascading platform for mobile app delivery. With this app creation and linking technology, any global brand with a local presence has a way to maintain design and business rule control while providing personally branded apps to all their agents across the country or globe. Smarter Agent's work with data over the years has morphed the company into a leading real estate data firm creating services to support global and regional real estate organizations. Smarter Agent Headquarters Overview The Smarter Agent team is an extremely successful tech start-up based in the retro cool South Jersey gem of Collingswood, New Jersey. Our new office is on the second floor of the building we designed is 10 minutes outside Philadelphia, Pennsylvania via the PATCO commuter light rail - we have free parking as well. We have a flexible work and time-off schedule and provide health benefits. Smarter Agent fosters a team environment where you can expand your skill set, gain leadership skills and grow your career. Job Description Your job is extremely important, where you will be working directly with the CTO and Data Team Directors, and have the ability to advance your career. Vendors change metadata over 50 times a day. It's your job to quickly assess, monitor and address issues to ensure data downloads are functioning properly. You will be doing a combination of data mapping and monitoring to rapidly fix issues working alongside the customer support and data monitoring teams to get things done. You will quickly learn how to map data based on a standard and automated processes. Qualifications YOU MUST BE VERY SMART AND BE PASSIONATE ABOUT DATA. YOU MUST have graduated with a Bachelors Degree, preferably in Computer Science or related degrees and have experience working with data. You most likely just graduated from school or have 1-3 years of experience. Skills needed for the position: Database bash scripting is required. Familiarity with relational databases like Oracle and MySQL. Python experience is nice to have. You are the type of person that has a knack for solving problems quickly with little or no help. You are a team player, who likes to learn about new technologies. You have to know how to use excel and google sheets. Flexibility to work a non-Monday-Friday schedule (a Saturday instead of a Monday) is a plus. Additional Information Process for Interviewing Please submit your resume and LinkedIn profile by clicking “I'm Interested” and why you feel that you are a good fit for the position. Phone screen by Michael C. Bertoni, Chief Recruiting Officer Smarter Agent Online Assessment Onsite Interview Offer All the above can be completed expediently after completion of the online assessment.

Hours: 40 Pay Details: $74,000 - $127,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Technology Solutions Job Description: Overview: The Data Engineer II provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. Depth & Scope: Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure Performs complex technical tasks independently Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary May be recognized as a subject matter expert in areas directly related to key accountabilities Education & Experience: Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience 3+ years of relevant experience Preferred qualifications: Experience with ETL and data analysis knowledge of upstream data, including knowledge provided through data profiling and data quality reporting Customer Accountabilities: Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata Supports the acquisition and ingestion of data Articulates complex, large scale, and high impact technical design and development details to non-technical business partners Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines Develops and maintains complex data models using industry standard modeling tools Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues Supports partners and stakeholders in interpreting and analyzing data Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables Shareholder Accountabilities: Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing Provides oversight on post implementation activities during the warranty period Executes & approves code check-in/ check-out into source code repository as part of source code management Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments Is the lead participant in the design & architecture reviews or the application Raises service-now requests and works with the change management team to support release management activities Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes Adheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities Ensures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented Protects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary Adheres to internal policies/procedures and applicable regulatory guidelines Keeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques Enables team members by sharing knowledge and leveraging engineering best practices Employee/Team Accountabilities: Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques Participates in personal performance management and development activities, including cross training within own team Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices Supports the team by providing guidance and proactively identifying and resolving issues Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships Contributes to a fair, positive and equitable environment that supports a diverse workforce Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel - Occasional International Travel - Never Performing sedentary work - Continuous Performing multiple tasks - Continuous Operating standard office equipment - Continuous Responding quickly to sounds - Occasional Sitting - Continuous Standing - Occasional Walking - Occasional Moving safely in confined spaces - Occasional Lifting/Carrying (under 25 lbs.) - Occasional Lifting/Carrying (over 25 lbs.) - Never Squatting - Occasional Bending - Occasional Kneeling - Never Crawling - Never Climbing - Never Reaching overhead - Never Reaching forward - Occasional Pushing - Never Pulling - Never Twisting - Never Concentrating for long periods of time - Continuous Applying common sense to deal with problems involving standardized situations - Continuous Reading, writing and comprehending instructions - Continuous Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

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

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.

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

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).

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)

Hours: 40 Pay Details: $74,000 - $127,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Technology Solutions Job Description: Overview: The Data Engineer II provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. Depth & Scope: * Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure * Performs complex technical tasks independently * Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards * Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes * Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary * May be recognized as a subject matter expert in areas directly related to key accountabilities Education & Experience: * Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience * 3+ years of relevant experience Preferred qualifications: * Experience with ETL and data analysis * knowledge of upstream data, including knowledge provided through data profiling and data quality reporting Customer Accountabilities: * Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products * Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata * Supports the acquisition and ingestion of data * Articulates complex, large scale, and high impact technical design and development details to non-technical business partners * Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata * Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines * Develops and maintains complex data models using industry standard modeling tools * Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools * Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues * Supports partners and stakeholders in interpreting and analyzing data * Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables Shareholder Accountabilities: * Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success * Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing * Provides oversight on post implementation activities during the warranty period * Executes & approves code check-in/ check-out into source code repository as part of source code management * Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments * Is the lead participant in the design & architecture reviews or the application * Raises service-now requests and works with the change management team to support release management activities * Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization * Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes * Adheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities * Ensures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented * Protects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary * Adheres to internal policies/procedures and applicable regulatory guidelines * Keeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques * Enables team members by sharing knowledge and leveraging engineering best practices Employee/Team Accountabilities: * Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest * Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit * Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques * Participates in personal performance management and development activities, including cross training within own team * Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities * Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices * Supports the team by providing guidance and proactively identifying and resolving issues * Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships * Contributes to a fair, positive and equitable environment that supports a diverse workforce * Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% * Domestic Travel - Occasional * International Travel - Never * Performing sedentary work - Continuous * Performing multiple tasks - Continuous * Operating standard office equipment - Continuous * Responding quickly to sounds - Occasional * Sitting - Continuous * Standing - Occasional * Walking - Occasional * Moving safely in confined spaces - Occasional * Lifting/Carrying (under 25 lbs.) - Occasional * Lifting/Carrying (over 25 lbs.) - Never * Squatting - Occasional * Bending - Occasional * Kneeling - Never * Crawling - Never * Climbing - Never * Reaching overhead - Never * Reaching forward - Occasional * Pushing - Never * Pulling - Never * Twisting - Never * Concentrating for long periods of time - Continuous * Applying common sense to deal with problems involving standardized situations - Continuous * Reading, writing and comprehending instructions - Continuous * Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

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.

Distinguished Data 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. Horzianal, Bank data organization to accelerate data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. Enable bank domains to produce and leverage modern data for a modern bank. The position focused on setting the technical vision, prototyping and driving the most complex data domain data architecture for the banking domains. In addition, partner closely with enterprise teams to develop highly resilient data platforms. 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 Responsibilities: 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 innersource 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 experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS 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. McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer Philadelphia, PA: $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Wilmington, DE: $239,900 - $273,800 for Distinguished 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).

Mount Laurel, New Jersey, United States of America **Hours:** 40 **Pay Details:** $74,000 - $127,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. **Line of Business:** Technology Solutions **Job Description:** **Overview:** The Data Engineer II provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. **Depth & Scope:** + Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure + Performs complex technical tasks independently + Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards + Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes + Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary + May be recognized as a subject matter expert in areas directly related to key accountabilities **Education & Experience:** + Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience + 3+ years of relevant experience **Preferred qualifications:** + Experience with ETL and data analysis + knowledge of upstream data, including knowledge provided through data profiling and data quality reporting **Customer Accountabilities:** + Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products + Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata + Supports the acquisition and ingestion of data + Articulates complex, large scale, and high impact technical design and development details to non-technical business partners + Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata + Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines + Develops and maintains complex data models using industry standard modeling tools + Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools + Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues + Supports partners and stakeholders in interpreting and analyzing data + Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables **Shareholder Accountabilities:** + Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success + Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing + Provides oversight on post implementation activities during the warranty period + Executes & approves code check-in/ check-out into source code repository as part of source code management + Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments + Is the lead participant in the design & architecture reviews or the application + Raises service-now requests and works with the change management team to support release management activities + Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization + Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes + Adheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities + Ensures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented + Protects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary + Adheres to internal policies/procedures and applicable regulatory guidelines + Keeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques + Enables team members by sharing knowledge and leveraging engineering best practices **Employee/Team Accountabilities:** + Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest + Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit + Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques + Participates in personal performance management and development activities, including cross training within own team + Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities + Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices + Supports the team by providing guidance and proactively identifying and resolving issues + Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships + Contributes to a fair, positive and equitable environment that supports a diverse workforce + Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally **Physical Requirements:** Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% + Domestic Travel - Occasional + International Travel - Never + Performing sedentary work - Continuous + Performing multiple tasks - Continuous + Operating standard office equipment - Continuous + Responding quickly to sounds - Occasional + Sitting - Continuous + Standing - Occasional + Walking - Occasional + Moving safely in confined spaces - Occasional + Lifting/Carrying (under 25 lbs.) - Occasional + Lifting/Carrying (over 25 lbs.) - Never + Squatting - Occasional + Bending - Occasional + Kneeling - Never + Crawling - Never + Climbing - Never + Reaching overhead - Never + Reaching forward - Occasional + Pushing - Never + Pulling - Never + Twisting - Never + Concentrating for long periods of time - Continuous + Applying common sense to deal with problems involving standardized situations - Continuous + Reading, writing and comprehending instructions - Continuous + Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. **Who We Are:** TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. **Our Total Rewards Package** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (*************************************** **Additional Information:** We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. **Colleague Development** If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. **Training & Onboarding** We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. **Interview Process** We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. **Accommodation** TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at *************** . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.