Data engineer jobs in Somers Point, NJ - 105 jobs

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

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 We're looking for a Senior ETL data engineer to help us transform how consumers interact with real estate data. You should be a self-motivated leader that takes ownership of projects. You are a Hands-on Senior ETL architect and developer who is excited to tackle the challenges that come with working on large volumes of diverse data with complex business rules. You should be located in the Philadelphia/South Jersey region and be a US citizen, willing to come to our corporate office to work. However, you will start remote given current physical distancing restrictions.Thrive in building scalable, high throughput systems that processes more than 10 billion data points a day from over 500 sources that all need to be standardized and enhanced. Demonstrate the ability to quickly grasp complex subject matter and apply data engineering skills and technical knowledge to assess and provide solutions. Demonstrate a willingness to assist other team members in areas outside of direct assignments, when necessary. Collaborate in a virtual environment to complete projects with team members in various locations. You must be available for extended hours. Strong communication skills, a positive attitude, and empathy. Self-awareness and a desire to continually improve. Desire to write and maintain a clean and well-tested code base, avoiding tech debt. Qualifications 7+ years of SQL Server database development experience 5+ years of ETL experience 5+ years of experience in working with Oracle and Postgres with experience in moving Oracle based processes to Postgre Advanced SQL knowledge for working with relational data in Oracle and Postgres Advanced programming experience with Python ( Java experience) with a focus on working with unstructured data . Experience programming in a Linux/UNIX environment including shell scripting. Experience with Bash scripts. Advanced experience with ETL processes: Preparing, staging, scheduling, monitoring, and maintaining automated data processes from large disconnected datasets into a production environment. Ability to develop analytical models (e.g., regression, simulation, statistical, etc.) for structured and unstructured data sets with a focus on data lineage to proactively identify risk areas and identify/catch outliers, trends and/or projections, where appropriate. Experience as well as a focus on DevOps principles such as CI/CD and IaC (Terraform) Working knowledge of message queuing (SNS/SQS/ and stream processing (Kinesis). 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.

We are PEAC Solutions-large enough to finance the globe, yet small enough to stand shoulder-to-shoulder with our customers. We believe in the power of partnership and the promise of possibility. Our purpose is to fuel growth by providing smart, flexible lending solutions that help businesses overcome obstacles and seize new opportunities. Backed by HPS Investment Partners, a leading global investment firm, we offer equipment financing, working capital, and inventory lending solutions that keep businesses moving forward. As the world's largest independent equipment finance company, we are expanding our global footprint-and we are doing it with purpose, grit, and a commitment to those we serve. You are someone who thrives in an environment where ambition meets action. You bring curiosity, resilience, and a strong sense of accountability. You see challenges as opportunities and believe in making an impact on customers, for your team, and for the business. If you are looking to be a part of a company that values partnerships over hierarchy and purpose over routine, your next chapter could start here. The Data Scientist supports the design, development, and implementation of analytical and statistical solutions that drive operational efficiency, customer experience improvements, and business growth. This role blends technical analytics with practical application, translating insights into actions that enhance performance across processes, products, and customer interactions. The ideal candidate is analytical, curious, and eager to connect data-driven findings to real-world business outcomes. Essential Functions: Contribute to the development, testing, and implementation of predictive and statistical models that support risk management, operational decisioning, and customer engagement strategies. Translate complex analytical findings into actionable recommendations that improve operational performance, service delivery, and customer satisfaction. Partner cross-functionally with business, risk, sales, and operations teams to embed analytics into workflows and decision tools. Conduct data exploration, segmentation, and root cause analysis to identify performance drivers and optimization opportunities. Support automation and process improvement initiatives through data modeling, scorecard development, and decision logic refinement. Participate in monitoring and validation activities to ensure models and reporting tools maintain accuracy, fairness, and business relevance. Create clear documentation of model assumptions, methodology, and governance requirements. Present quantitative insights in accessible ways to non-technical stakeholders, enabling better business and customer outcomes. Contribute to innovation by testing new modeling techniques, analytical frameworks, and data visualization methods. Qualifications: Bachelor's degree required in a Quantitative field (Economics, Statistics, Mathematics, Data Science, Industrial Engineering, etc.). 2-5 years of experience in data science, analytics, or statistical modeling, preferably within financial services, lending or customer analytics. Experience with SAS, SQL, R, or Python for statistical analysis and modeling. Proficient in MS Office and Excel. Strong analytical, problem-solving, and critical-thinking skills with the ability to connect technical insights to operational and customer outcomes. Solid understanding of statistical modeling techniques and their business applications. Effective communicator able to translate data into meaningful narratives for business partners. Strong organizational skills with attention to detail and the ability to manage multiple priorities. Excellent written and verbal communication skills, with the ability to collaborate across teams and present findings clearly. PEAC Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The successful candidate will receive competitive compensation along with our benefit package which includes medical, dental, vision, life insurance, short and long-term disability, 401(k) with match, flexible spending, and paid time off. PEAC provides one paid day off per year to support community involvement. Celebrate you by also having off your birthday on us!

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.

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

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

We are authentic, professional providers of fun, focused on building a Great Place To Work For All by staying true to our mission: “Life's a Party, We're Makin' It Fun!” and “So Much Fun It's Scary!” At Spencer's and Spirit Halloween, we do the right thing always-integrity, fairness, respect, and transparency are our foundation. You will find our culture to be inclusive, passionate, resilient, and one that values differences and embraces all. One Team / One Goal We are leaders and owners of our business success. Whether it's developing new and exclusive costumes, quality testing products, or implementing technology solutions, our teams understand the value of working collaboratively to embrace change through innovation, curiosity, and thoughtfulness. We offer a comprehensive benefits package that includes: Flexible work environment Career advancement Competitive base salary Bonus opportunity Vacation, Personal, Sick and Holiday pay Medical, Dental, Vision, Disability, Life and AD&D insurance 401k with a company match 30% merchandise discount Responsibilities As a Data engineer, you will support the data engineering function by assisting in the development and maintenance of robust data pipelines and collaborating with various teams. Key responsibilities include: Development and management of data pipelines for various data sources such as e-commerce, stores, suppliers & vendors, and internal ERP systems Supporting senior data engineers and data architects in building and maintaining data infrastructure and architecture and ensuring data integrity and security Collaborating with cross-function teams including Data engineers, Data architects, Business Analyst, IT leaders and business users to understand data requirements Assisting in maintaining the code repository and assist in maintaining and promoting the pipelines through CI/CD Responsible for performing root cause analysis on internal and external data processing related issues Maintain documentation and create high level data flow and low-level data flow for the pipelines Following best practices in coding and maintaining data pipelines to ensure efficiency, reliability, and scalability Qualifications Bachelor's degree in computer science, Information Technology, or a related field; and at least 2 years of hands-on experience with Data Engineering, BI, or Data Warehousing; or an equivalent combination of education and experience. Strong experience on Azure Databricks, Azure Data Factory, Azure Key Vault, ADLS Proficiency in Python and SQL Experience with Data integration, ingestion, transformation and modelling Basic understanding of agile project delivery framework and DevOps processes Familiarity with visualization platforms like PowerBI Basic knowledge of modeling techniques (star schema, OLAP) and workflow orchestration (Apache Airflow) Knowledge on using AI tools like Co-pilot, ChatGPT, Databricks Assistant, Github Co-pilot Basic knowledge on AI/ML concept will be plus Excellent written and verbal communication skills Self-starter who welcomes responsibility and is eager to learn and grow and should be able to work with the team The pay range reflects the potential base salary range for this role. Individual base pay is determined by various factors such as relevant experience and skills, and the scope and responsibilities of the position. Pay Range $85,000-$95,000

We are authentic, professional providers of fun, focused on building a Great Place To Work For All by staying true to our mission: "Life's a Party, We're Makin' It Fun!" and "So Much Fun It's Scary!" At Spencer's and Spirit Halloween, we do the right thing always-integrity, fairness, respect, and transparency are our foundation. You will find our culture to be inclusive, passionate, resilient, and one that values differences and embraces all. One Team / One Goal We are leaders and owners of our business success. Whether it's developing new and exclusive costumes, quality testing products, or implementing technology solutions, our teams understand the value of working collaboratively to embrace change through innovation, curiosity, and thoughtfulness. We offer a comprehensive benefits package that includes: * Flexible work environment * Career advancement * Competitive base salary * Bonus opportunity * Vacation, Personal, Sick and Holiday pay * Medical, Dental, Vision, Disability, Life and AD&D insurance * 401k with a company match * 30% merchandise discount Responsibilities As a Data engineer, you will support the data engineering function by assisting in the development and maintenance of robust data pipelines and collaborating with various teams. Key responsibilities include: * Development and management of data pipelines for various data sources such as e-commerce, stores, suppliers & vendors, and internal ERP systems * Supporting senior data engineers and data architects in building and maintaining data infrastructure and architecture and ensuring data integrity and security * Collaborating with cross-function teams including Data engineers, Data architects, Business Analyst, IT leaders and business users to understand data requirements * Assisting in maintaining the code repository and assist in maintaining and promoting the pipelines through CI/CD * Responsible for performing root cause analysis on internal and external data processing related issues * Maintain documentation and create high level data flow and low-level data flow for the pipelines * Following best practices in coding and maintaining data pipelines to ensure efficiency, reliability, and scalability Qualifications * Bachelor's degree in computer science, Information Technology, or a related field; and at least 2 years of hands-on experience with Data Engineering, BI, or Data Warehousing; or an equivalent combination of education and experience. * Strong experience on Azure Databricks, Azure Data Factory, Azure Key Vault, ADLS * Proficiency in Python and SQL * Experience with Data integration, ingestion, transformation and modelling * Basic understanding of agile project delivery framework and DevOps processes * Familiarity with visualization platforms like PowerBI * Basic knowledge of modeling techniques (star schema, OLAP) and workflow orchestration (Apache Airflow) * Knowledge on using AI tools like Co-pilot, ChatGPT, Databricks Assistant, Github Co-pilot * Basic knowledge on AI/ML concept will be plus * Excellent written and verbal communication skills * Self-starter who welcomes responsibility and is eager to learn and grow and should be able to work with the team The pay range reflects the potential base salary range for this role. Individual base pay is determined by various factors such as relevant experience and skills, and the scope and responsibilities of the position. Pay Range $85,000-$95,000

Description Background Information:Innovative Defense Technologies(IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview:The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include: Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability Leverage state-of-the-art theory and technologies to solve complex problems Establish and leverage Big Data frameworks to store, extract and analyze relevant data Develop software solutions by understanding customer requirements and program intent Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions Be responsible for solutions that meet software design, quality, and performance requirements Work with minimal supervision in a collaborative work environment to implement best-in-class solutions Minimum Required Qualifications: Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field or equivalent full-time professional experience 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.

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

Data Intelligence, LLC (DI) is seeking a Software Engineer I to join our team supporting the U.S. Navy's Aegis Weapons System in Moorestown, NJ. This is an exciting opportunity to begin your engineering career in a mission-critical environment that directly supports national defense. Responsibilities Assist in designing, developing, troubleshooting, and analyzing software programs for Navy computer-based systems. Support maintenance and/or new application development under the supervision of technical leadership. Contribute documentation for new and existing programs. Perform routine systems modeling, simulation, and analysis. Collaborate with intra-organizational staff to support ongoing software development tasks. Qualifications Bachelor's degree in engineering, Computer Science, or a related field (or equivalent). 0-2 years of related software engineering or development experience. Strong problem-solving skills and willingness to learn. Ability to work effectively in a team environment. Must be a U.S. Citizen with a current interim or current active security clearance (secret level or higher). Why Join Data Intelligence, LLC? At Data Intelligence, LLC, we are committed to providing innovative solutions that support our nation's defense capabilities. By joining our team, you will have the opportunity to work on cutting-edge cloud technologies while supporting the U.S. Navy's mission to enhance national security. Our collaborative work environment fosters growth, learning, and continuous improvement. About Us: Since 2005, Data Intelligence (DI) has been a trusted partner in supporting the critical missions of our government clients. Data Intelligence, LLC 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, or protected veteran status and will not be discriminated against on the basis of disability. We offer competitive compensation, a collaborative culture, and the opportunity to work alongside top talent in support of our country's most critical operations. We work with Veterans organization to proactively hire those who have served our country. Enjoy medical, dental, vision, disability and life insurance, a 401K plan, paid time off (PTO), and 11 paid holidays. We value our employees and offer a supportive, team-oriented environment with opportunities for advancement.

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

Job Description 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

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 We're looking for a Senior ETL data engineer to help us transform how consumers interact with real estate data. You should be a self-motivated leader that takes ownership of projects. You are a Hands-on Senior ETL architect and developer who is excited to tackle the challenges that come with working on large volumes of diverse data with complex business rules. You should be located in the Philadelphia/South Jersey region and be a US citizen, willing to come to our corporate office to work. However, you will start remote given current physical distancing restrictions.Thrive in building scalable, high throughput systems that processes more than 10 billion data points a day from over 500 sources that all need to be standardized and enhanced. Demonstrate the ability to quickly grasp complex subject matter and apply data engineering skills and technical knowledge to assess and provide solutions. Demonstrate a willingness to assist other team members in areas outside of direct assignments, when necessary. Collaborate in a virtual environment to complete projects with team members in various locations. You must be available for extended hours. Strong communication skills, a positive attitude, and empathy. Self-awareness and a desire to continually improve. Desire to write and maintain a clean and well-tested code base, avoiding tech debt. Qualifications 7+ years of SQL Server database development experience 5+ years of ETL experience 5+ years of experience in working with Oracle and Postgres with experience in moving Oracle based processes to Postgre Advanced SQL knowledge for working with relational data in Oracle and Postgres Advanced programming experience with Python ( Java experience) with a focus on working with unstructured data . Experience programming in a Linux/UNIX environment including shell scripting. Experience with Bash scripts. Advanced experience with ETL processes: Preparing, staging, scheduling, monitoring, and maintaining automated data processes from large disconnected datasets into a production environment. Ability to develop analytical models (e.g., regression, simulation, statistical, etc.) for structured and unstructured data sets with a focus on data lineage to proactively identify risk areas and identify/catch outliers, trends and/or projections, where appropriate. Experience as well as a focus on DevOps principles such as CI/CD and IaC (Terraform) Working knowledge of message queuing (SNS/SQS/ and stream processing (Kinesis). 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.

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.

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

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

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 We're looking for Mid-Level and Senior Level Data Engineers to help us transform how consumers interact with real estate data. Smarter Agent has every residential listing in North America updating multiple times per day on behalf of our real estate customers. You will manage and create systems to utilize these data sets and drive innovation within our SAAS Platform. Recommend and implement data processing tools and technologies to keep us at the forefront of real estate data engineering, data science, data architecture and evolve our data stack. Extract, transform and load data pipelines from end-to-end. Create, develop and document data mapping rules. Perform data cleansing and transformation of data. Write specifications from which conversion programs will be written. Collaborate with subject matter experts to ensure that the specifications meet the business and system requirements. Utilize tools and programs to analyze and convert data to a standardized format. Recommend and implement data processing tools and technologies to keep us at the forefront of real estate data engineering and data science. Develop continuous process improvements. Identify and fix “data bugs” and improve the overall quality of information. Work, collaborate, mentor and provide leadership to members within our team. Qualifications You MUST be passionate about solving data challenges through software and technology. You MUST be a highly analytical, results driven individual, with high attention to detail and strong problem solving and critical thinking skills. The Mid-Level and Senior Data Engineer MUST have 3-10+ years of proven experience in areas including software engineering, data engineering and data architecture. You MUST have prior experience in areas or similar technologies including SQL, Oracle, PostGres, DynamoDB, Firehose, MongoDB, Elastic Search, Neo4j and REST APIs. You MUST have prior Amazon Web Services (AWS) experience as well as worked in scripting languages like Python to aggregate, gather, and manipulate data. You MUST understand databases, data conversion and data cleansing methods. You should have prior experience parsing and mapping data. You should have advanced Microsoft Excel experience. You should have excellent verbal and written communication skills. You will get big points if you have worked with Multiple Listing Service (MLS) data and standards and real estate public record data. 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, Director of Recruiting. Smarter Agent Online Assessment to see if cognitive and cultural fit for leading start-up. 1 Onsite Interview with Founder/CEO, Founder/CTO, technical team/leads with follow up software code review. Offer All the above can be completed expediently after completion of the online assessment.