Data engineer jobs in Jackson, NJ - 753 jobs

Full-Stack Software Engineer A technology-driven organization is seeking a Full-Stack Software Engineer to design, build, and support scalable applications in a collaborative, agile environment. What You'll Do Build and maintain full-stack applications across frontend, backend, and database layers Develop clean, testable code using C#/.NET Core and modern frontend frameworks Own assigned components and contribute to technical design discussions Troubleshoot issues, improve existing codebases, and enhance system performance Develop automated tests and maintain technical documentation Collaborate with product, design, engineering, and QA teams Mentor junior engineers and support proof-of-concept initiatives What We're Looking For Bachelor's degree or equivalent experience Strong Object-Oriented Programming fundamentals 3-5 years of experience with C#, .NET Core, Angular (or similar), JavaScript, HTML/CSS, and SQL Experience building RESTful REST APIs in a full-stack environment Familiarity with Git, CI/CD tools, and Agile methodologies Strong communication and problem-solving skills

Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions - including HIP One, CompliancePro Solutions, and Patient Engagement Solutions - empower organizations to scale innovation and transform outcomes. Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide. Genzeon has an exciting opening for Senior Graphics Software Engineer to join our dynamic team. Position Overview Senior Graphics Software Engineer Local to Langhorne, PA or nearby states highly preferred, who can meet the client team whenever required. Duration: 6Months Required Education and Experience BSEE/BSCS or science degree - Master's degree a plus 10+ years of professional software development experience 5+ years of recent, hands-on experience in 3D rendering design and implementation Expertise with OpenGL; Vulkan experience highly desired Proven experience optimizing existing 3D rendering pipelines, improving performance, and solving complex visualization problems Strong proficiency in modern C++ (C++14/17/20); CUDA experience is a plus. Experience developing software with a Linux host development environment Demonstrated ability to work independently as well as collaboratively on a multidisciplinary team Preferred Qualifications Experience with requirements analysis, software architecture, and design documentation Familiarity with FDA 510(k) submissions, medical device development standards, and quality system requirements Experience working in regulated environments (e.g., ISO 13485, IEC 62304)

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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.

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

SRP is a Big Data startup company located in Princeton, New Jersey. Job DescriptionSRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking for a seasoned and highly experienced, hands-on big data architect. This person could potentially become a co-founder or CTO in this startup. Qualifications: * 10 to 15 years of experience in technology including Big Data and Hadoop * Experienced in Hadoop, Hive/Pig, various hadoop distributions such as Cloudera or Hortonworks * Experienced in Spark * Strong working knowledge with visualization tools such as Tableau or equivalent * Must have worked with really large data sets in the past * Experienced with databases, SQL, and AWS High energy and high enthusiasm are essential for this role, and a very strong drive to succeed. Learn more about us at: ****************** Additional Information This is a one time contracting project

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Remote: 100% In Bid / Vacant: Vacant Work Authorization: US Citizenship is required. Type: Full Time Skill Level: 3 years to SME Salary Range: Commencing with experience Benefits: The standard compensation package consists of a competitive salary, 100% company-paid health/dental/vision care benefits, 100% company-paid LTD/STD/Life Insurance benefits, a 401(k) with company match, and a generous holiday/vacation/sick leave policy. Introduction: Our client needs a Data Scientist to apply and enhance their skills in developing, running, and analyzing results of complex queries against massive-scale data stores. Role Description: Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products. Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Sponsor Agency. Performing large-scale parallel processing of data and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments. Required Skills & Experience: Bachelor's Degree or experience or instead of a degree and 2+ years of Intelligence Analysis experience in the intelligence community Experience using analytic techniques and tools performing technical targeting analytic support for the Sponsor Agency. Experience using any computer languages (e.g., Python, R, Pig, Java, C, SQL, ECL) to perform large-scale parallel data processing. Ability to think outside the box and seek guidance/mentorship from peers. Optional Desired Skills & Experience: Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field. Note: No 3rd Party Vendors or 3 rd Party Candidates

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description:- At least 7 Years of experience. Strong project management skills Good conceptual knowledge on BI Projects, Big data Awareness and hands on experience on AWS(Amazon web service) components, Datastage, DB2 Good communications kills Analytical skills Experience and desire to work in a Global delivery environment Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience within the Information Technologies. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume.

**The Role** We're looking for an HR **Data Scientist** to join our People Analytics Center of Excellence. In this role, you'll leverage your expertise in machine learning, AI, and HR data to design and deploy predictive models that inform strategic workforce decisions, from talent acquisition to retention and mobility. You'll work hands-on in Databricks, using scalable data science workflows to turn complex people data into actionable insights that shape how we attract, develop, and retain talent. **What's** **in It for You** + You will lead the development of AI-driven insights that directly influence talent and workforce strategy. + You will work with cutting-edge tools such as Databricks, Workday, and Azure to operationalize ML models in production. + You will collaborate with a multidisciplinary team of data scientists, engineers, People AnalyticsConsultants,and HR partners. + You will be part of a forward-thinking People Analytics team that values innovation, transparency, and responsible AI. + You will grow your impact at the intersection of data science and human behavior, shaping the future of work. **Key Outcomes** **You will deliver:** + Production-grade People Analytics projects such as attrition prediction, hiring funnel analytics, , and skills inference. + A scalable, secure Workday-integrated Databricks data model that supports advanced analytics and predictive modeling. + Reliable ML and analytics models that deliver actionable insights across HR. **Your Responsibilities** **Model Development and Advanced Analytics** + Design, develop, and deploy production-ready ML and statistical models using **Python (pandas, scikit-learn,** **PySpark** **,** **GPBoost** **,** **XGBoost** **,** among others) within **Databricks** and tracked through **MLflow** . + Apply techniques such as classification, regression, NLP, clustering, and forecasting to address workforce challenges. + Perform model evaluation, monitoring, and explainability to ensure responsible use of AI in HR contexts. + Partner with data engineers to ensure reliable HR datasets across Workday and other systems. **Insight Generation and Storytelling** + Translate model outputs into clear, actionable insights for HR and business leaders. + Collaborate with People Analytics teams to visualize and communicate findings effectively. + Document methodologies and promote a culture of data transparency and continuous learning. **Who You Are** You are an analytical storyteller who thrives at the intersection of data, technology, and people. You are passionate about uncovering insights that improve employee experience and business performance, and you are as comfortable building production-grade ML pipelines as you are explaining results to executives. **Qualifications** **Required** + 5+ years in data engineering or analytics, with demonstrated delivery of data platforms or ML/AI solutions. + Proficiency in SQL + Proficiency in Python (pandas, scikit-learn, PySpark, TensorFlow, XGBoost, GPBoost, among others) with experience managing experiments and deployments through MLflow + Strong understanding of data privacy and ethical AI principles **Preferred** + Proficiency in Databricks + Experience in People Analytics or HR technology environments. + Strong understanding of HR data and employee lifecycle processes (recruiting, development, engagement, workforce planning). + Degree in quantitativefield (Mathematics, Statistics, Computer Science) or equivalent experience. **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. + The salary range for this role is$106,600 - $163,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. \#LI-HP2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment. This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting. Develop, validate, and implement machine learning and statistical models. Work with large-scale datasets to extract actionable insights. Collaborate with cross-functional teams including data engineering, product, and risk teams. Analyze and interpret the results of model performance and deliver recommendations. Stay current with emerging trends and tools in AI/ML and model risk management. Must-Have Skills: 7+ years of experience in Data Science or a related field. Proficiency in Python for data analysis, modeling, and ML development. Strong understanding of machine learning algorithms and statistical modeling. Hands-on experience with data visualization and analytical tools. Excellent problem-solving and communication skills. Good to Have: Experience in Model Risk Development related to ML or LLMs (Large Language Models). Financial services or risk modeling background.Candidate Requirements: Local to or willing to commute to Pennington, NJ. W2 candidates only - no third-party or C2C engagements. Authorized to work in the United States without sponsorship. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role.

VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit ************* Job Description We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

**Advance Local** is looking for a **Senior Data Engineer** to design, build, and maintain the enterprise data infrastructure that powers our cloud data platform. This position will combine your deep technical expertise in data engineering with team leadership responsibilities for data engineering, overseeing the ingestion, integration, and reliability of data systems across Snowflake, AWS, Google Cloud, and legacy platforms. You'll partner with data product and across business units to translate requirements into technical solutions, integrate data from numerous third-party platforms, (CDPs, DMPs, analytics platforms, marketing tech) into central data platform, collaborate closely with the Data Architect on platform strategy and ensure scalable, well-engineered solutions for modern data infrastructure using infrastructure as code and API-driven integrations. The base salary range is $120,000 - $140,000 per year. **What you'll be doing:** + Lead the design and implementation of scalable data ingestion pipelines from diverse sources into Snowflake. + Partner with platform owners across business units to establish and maintain data integrations from third party systems into the central data platform. + Architect and maintain data infrastructure using IAC, ensuring reproducibility, version control and disaster recovery capabilities. + Design and implement API integrations and event-driven data flows to support real time and batch data requirements. + Evaluate technical capabilities and integration patterns of existing and potential third-party platforms, advising on platform consolidation and optimization opportunities. + Partner with the Data Architect and data product to define the overall data platform strategy, ensuring alignment between raw data ingestion and analytics-ready data products that serve business unit needs. + Develop and enforce data engineering best practices including testing frameworks, deployment automation, and observability. + Support rapid prototyping of new data products in collaboration with data product by building flexible, reusable data infrastructure components. + Design, develop, and maintain scalable data pipelines and ETL processes; optimize and improve existing data systems for performance, cost efficiency, and scalability. + Collaborate with data product, third-party platform owners, Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver technical solutions that enable business outcomes across the organization. + Implement data quality validation, monitoring, and alerting systems to ensure reliability of data pipelines from all sources. + Develop and maintain comprehensive documentation for data engineering processes and systems, architecture, integration patterns, and runbooks. + Lead incident response and troubleshooting efforts for data pipeline issues, ensuring minimal business impact. + Stay current with the emerging data engineering technologies, cloud services, SaaS platform capabilities, and industry best practices. **Our ideal candidate will have the following:** + Bachelor's degree in computer science, engineering, or a related field + Minimum of seven years of experience in data engineering with at least two years in a lead or senior technical role + Expert proficiency in Snowflake data engineering patterns + Strong experience with AWS services (S3, Lambda, Glue, Step Functions) and Google Cloud Platform + Experience integrating data from SaaS platforms and marketing technology stacks (CDPs, DMPs, analytics platforms, CRMs) + Proven ability to work with third party APIs, webhooks, and data exports + Experience with infrastructure such as code (Terraform, Cloud Formation) and CI/CD pipelines for data infrastructure + Proven ability to design and implement API integrations and event-driven architecture + Experience with data modeling, data warehousing, and ETL processes at scale + Advanced proficiency in Python and SQL for data pipeline development + Experience with data orchestration tools (airflow, dbt, Snowflake tasks) + Strong understanding of data security, access controls, and compliance requirements + Ability to navigate vendor relationships and evaluate technical capabilities of third-party platforms + Excellent problem-solving skills and attention to detail + Strong communication and collaboraion skills **Additional Information** Advance Local Media offers competitive pay and a comprehensive benefits package with affordable options for your healthcare including medical, dental and vision plans, mental health support options, flexible spending accounts, fertility assistance, a competitive 401(k) plan to help plan for your future, generous paid time off, paid parental and caregiver leave and an employee assistance program to support your work/life balance, optional legal assistance, life insurance options, as well as flexible holidays to honor cultural diversity. Advance Local Media is one of the largest media groups in the United States, which operates the leading news and information companies in more than 20 cities, reaching 52+ million people monthly with our quality, real-time journalism and community engagement. Our company is built upon the values of Integrity, Customer-first, Inclusiveness, Collaboration and Forward-looking. For more information about Advance Local, please visit ******************** . Advance Local Media includes MLive Media Group, Advance Ohio, Alabama Media Group, NJ Advance Media, Advance Media NY, MassLive Media, Oregonian Media Group, Staten Island Media Group, PA Media Group, ZeroSum, Headline Group, Adpearance, Advance Aviation, Advance Healthcare, Advance Education, Advance National Solutions, Advance Originals, Advance Recruitment, Advance Travel & Tourism, BookingsCloud, Cloud Theory, Fox Dealer, Hoot Interactive, Search Optics, Subtext. _Advance Local Media is proud to be an equal opportunity employer, encouraging applications from people of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, genetic information, national origin, age, disability, sexual orientation, marital status, veteran status, or any other category protected under federal, state or local law._ _If you need a reasonable accommodation because of a disability for any part of the employment process, please contact Human Resources and let us know the nature of your request and your contact information._ Advance Local Media does not provide sponsorship for work visas or employment authorization in the United States. Only candidates who are legally authorized to work in the U.S. will be considered for this position.

Client is currently seeking an ETL Architect/Developer to join the team. They develop, design and deliver high quality business applications, software solutions and services to meet client's business technology requirements. Responsibilities Playing a lead role in software design, architecture, requirements analysis, investigation of leading edge technologies, and software development. Collaborating with the core development team and the product owner to define and estimate business requirements and then translate these into specific software tasks. Collaborate as a member of an agile team to get products developed and completed with best in class software development. Design, build, and maintain high performance, reusable, and reliable ETL packages. Ensure the best possible performance, quality, and responsiveness of applications developed. Requirements Qualifications 5+ years' experience of development of ETL packages. Expert understanding of the ETL/ELT and architectural principles of data integration and data warehousing Strong technical knowledge of Enterprise Data Warehouse, database design and Information Management. Experience with with Informatica or Talend or Abinitio in designing and developing complex ETL packages. Develop data acquisition, transformation and data load processes Experience with writing and debugging complex SQL queries Experience in designing and developing data models Preferred Qualifications BSc. or Master's degree in Computer Science or related technical field. Solid understanding of information management, data modeling, system integration, development methodologies (including unit testing) and web technologies. Excellent interpersonal and communication skills and an ability to work effectively with teams.

Job DescriptionSalary: DOE Data-Core Systems, Inc. is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise, and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit ***************************** Our client is a roadway system, and as a part of their digital transformation, they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE. Data-Core Systems Inc. is seeking an SAP BRIM Data Migration Consultant to join our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team. Roles & Responsibilities: Migrate data from external sources to SAP BRIM Support Full Life Cycle Migration, including mapping to new systems Ensure accuracy and integrity of data and applications through analysis, coding, documenting, testing and problem solving Set up the development environment and configuration of the development tools Contribute to Cloud Operations for running application systems on a large scale Required Skills & Experience: Minimum 8-12 years of relevant experience is required 5+ years of hands-on experience in SAP BRIM Knowledge in Data Profiling and Data Validation Bachelors degree in engineering or a bachelors degree in technology from a recognized university We are an equal opportunity employer.

Hours: 40 Pay Details: $81,000 - $139,000 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: The Data Engineer II (Azure Databricks/ Azure Data Factory) 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 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 Preferred Qualifications: Databricks Azure Python PySpark ADF Data Products Banking domain experience strongly desired 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.

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

Job DescriptionSalary: Data-Core Systems, Inc. is a provider of information technology, consulting and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit***************************** Our client is a roadway system and as a part of their digital transformation they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE. Data-Core Systems Inc. is seeking Microsoft Dynamics 365 CE Data Migration Consultantto be a part of our Consulting team. You will be responsible for planning, designing, and executing the migration of customer, account, vehicle, financial, and transaction data from a variety of source systemsincluding legacy CRMs, ERPs, SQL databases, flat files, Excel, cloud platforms, and tolling systemsinto Microsoft Dynamics 365 Customer Engagement (CE). This role involves understanding complex data models, extracting structured and unstructured data, transforming and mapping it to Dynamics CE entities, and ensuring data quality, integrity, and reconciliation throughout the migration lifecycle. Roles & Responsibilities: Analyze source system data structures, including customer profiles, accounts, vehicles, transponders, payment methods, transactions, violations, invoices, and billing records Identify critical data relationships, parent/child hierarchies, and foreign key dependencies Develop detailed data mapping and transformation documentation from source systems to Dynamics 365 CE entities (standard and custom) Build, test, and execute ETL pipelines using tools such as SSIS/KingswaySoft, Azure Data Factory, Power Platform Dataflows, or custom .NET utilities Perform data cleansing, normalization, deduplication, and standardization to meet Dynamics CE data model requirements Execute multiple migration cycles, including test loads, validation, and final production migration Ensure referential integrity, high data quality, and accuracy of historical data Generate reconciliation reports, resolve data inconsistencies, and troubleshoot migration errors Document migration strategies, execution runbooks, and transformation rules for future reference Required Skills & Experience: 8-12 years of proven experience migrating data from tolling systems, transportation platforms, legacy CRMs, or other high-volume transactional systems Strong SQL skills for complex queries, stored procedures, data transformation, and data validation Hands-on experience with Microsoft Dynamics 365 CE / CRM data model, entities, and relationships Proficiency with ETL/migration tools: SSIS with KingswaySoft, Azure Data Factory, Power Platform Dataflows, Custom C#/.NET migration scripts Experience with large-scale migrations involving millions of records Strong understanding of relational data structures such as: Customer Account Vehicle Transponder Transaction Ability to analyze large datasets, identify anomalies, and resolve inconsistencies Bachelors degree in engineering or a bachelors degree in technology from a recognized university Preferred Skills & Experience: Experience with financial transactions, billing data, or violation/enforcement records. Experience in enterprise-scale Dynamics 365 CE migrations. Familiarity with data governance, security, and compliance requirements for financial or transportation data. Knowledge of historical data migration and archival strategies. We are an equal opportunity employer.