Data engineer jobs in New Haven, CT - 778 jobs

Role: GCP Data Engineer Must Have Skills: 7+ Years of experience with GCP , Python , Pyspark , SQL GCP Services - Bigquery , Dataproc , Pub/sub , GCP Dataflow. The client will take - Coderpad interview so Python coding is strongly required here.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do * Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. * Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails. * Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery * Leverage statistical and machine learning techniques to extract actionable insights from client retention data. * Develop customer churn prediction models that proactively identify at-risk clients, * Build tools to process structured and unstructured data * Engineering features and signals to train ML model from diverse data collection What you'll need * BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) * 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects * Minimum 4+ years of experience in python coding and statistical analysis * Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are * A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge. * Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies. * Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented. * Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer * A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too. * Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at or by sending an email to #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at or by sending an email . Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

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

GCP Engineer Duration: Long Term Contract Unable to provide sponsorship for this role (Need Visa Independent Candidates) Required At least 5 years of Information Technology experience Proficiency in Python is highly desirable. Strong knowledge of ETL tools and processes. Expertise in GCP services (BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer) Preferred Qualifications: Have at least 5 years of experience in Google Cloud platform (especially BigQuery & DataFlow) Experience with Python and Google Cloud SDK & API Scripting GCP certifications (e.g., Google Cloud Professional Data Engineer) is a plus.

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, Analytics (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.

About the Role We believe that the best decisions are backed by data. We are seeking a curious and analytical Data Scientist to champion our data -driven culture. In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and-most importantly-tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with SQL queries as you are with slide decks. ### What You Will Do Exploratory Analysis: Dive deep into raw data to discover trends, patterns, and anomalies that others miss. Predictive Modeling: Build and test statistical models (Regression, Time -series, Clustering) to forecast business outcomes and customer behavior. Data Visualization: Create clear, impactful dashboards using Tableau, PowerBI, or Python libraries (Matplotlib/Seaborn) to visualize success metrics. Experimentation: Design and analyze A/B tests to optimize product features and marketing campaigns. Data Cleaning: Work with Data Engineers to clean and structure messy data for analysis. Strategy: Present findings to stakeholders, translating complex math into clear, actionable business recommendations. Requirements Experience: 2+ years of experience in Data Science or Advanced Analytics. The Toolkit: Expert proficiency in Python or R for statistical analysis. Data Querying: Advanced SQL skills are non -negotiable (Joins, Window Functions, CTEs). Math Mindset: Strong grasp of statistics (Hypothesis testing, distributions, probability). Visualization: Ability to communicate data visually using Tableau, PowerBI, or Looker. Communication: Excellent verbal and written skills; you can explain a p -value to a non -technical manager. ### Preferred Tech Stack (Keywords) Languages: Python (Pandas, NumPy), R, SQL Viz Tools: Tableau, PowerBI, Looker, Plotly Machine Learning: Scikit -learn, XGBoost (applied to business problems) Big Data: Spark, Hadoop, Snowflake Benefits Salary Range: $50,000 - $180,000 USD / year (Commensurate with location and experience) Remote Friendly: Work from where you are most productive. Learning Budget: Stipend for data courses (Coursera, DataCamp) and books.

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 (******************************************************************************************************* . 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Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

About Us Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment. The Job Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments - including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies. Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively. Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You'll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery. Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it's identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries. Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts. Qualifications and Skills: Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks. Educational Background: A Bachelor's or Master's degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered. Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus. Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results. Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers. Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg's mission and eager to take on challenging tasks - whether it's mastering a new analysis method or digging into scientific literature - to push our research forward. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Tsunami Tsolutions is seeking a motivated Data Scientist to join its Aviation Analytics department. This person will be responsible for developing and deploying solutions to various customers that utilize a wide range of analytics tools. They will work with team members and customers to identify new sources of value and take actions to capture it. The selected individual will also work to ensure data quality and provide metrics as indicators of the current state. This role will also require the presentation of findings to customers and senior management. NOTE: This position requires access to technologies and hardware subject to US national Security based export control requirements. All applicants must be US Citizen (8 USC 1324b(a)(3)), or otherwise authorized by the U.S. Government. NO Company Sponsorship offered. Responsibilities: • Working with stakeholders to understand complex business processes and data streams. • Collaborate with stakeholders and whiteboard solutions. • Identify, collect and clean data from multiple sources • Validate, interpret and provide business insights • Research, build, implement and evaluate various analytic techniques to select the best application • Work with team members to deploy solutions across the organization • Reporting periodic progress on projects, including tracking usage and value derived from the models Position Requirements • B.S degree in computer science, data science or engineering. Advanced Degree Preferred • 3-5 years of industry experience preferred • Experience building dashboards and visualizations using Qlik, Power BI, Tableau or similar • Strong programming skills on languages used in data science including Python, R and SQL • Advanced proficiency in Microsoft Excel with competency in vlookups, pivot tables, etc. • Ability to learn new concepts quickly and translate them into practical applications • Ability to effectively communicate findings to non-technical audiences • Experience building and implementing machine learning models in Python or R a plus Offer contingent upon successful completion of a background check and drug screen.

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 Preferred • At least 4 years of experience with IBM IIB, WMB, Datapower • At least 4 years of experience in software development life cycle. • At least 4 years of experience in Project life cycle activities on development and maintenance projects. • At least 2 years of experience in Design and architecture review. • Ability to work in team in diverse/ multiple stakeholder environments • Ability to work in Scrum team in diverse/ multiple stakeholder environments • Interface analysis, Technical leadership, activities coordination, etc. • Perform reviews • Interactions with application teams, GI Team and other stake holders relevant to technology • Experience in Automation Domain. ..... • Analytical skills • Experience and desire to work in a Global delivery environment Qualifications Qualifications Basic • 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 4 years of experience with Information Technology. Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. 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, TN Visa & H1B Consultants please. Please mention your Visa Status in your email or resume.

Accepting applicants in CT, FL, MN, NJ, NC, OH, TX Mediate.ly is seeking a hands-on Data Scientist to elevate media performance analysis, predictive modeling, and channel optimization. In this role, you'll leverage advanced machine learning techniques and generative AI tools to uncover actionable insights, automate reporting, and enhance campaign effectiveness across digital channels. You'll manage and evolve our existing performance dashboard (with a small external team), own the feature roadmap, and collaborate closely with Primacy on SEO/CRO data integration. A key part of the role involves supporting Account teams with clear, insight-rich reporting powered by enhanced data storytelling and visualization. This was meant for you if you are passionate and skilled in transforming complex datasets into clear, compelling insights. Measures: AI-Enhanced Reporting & Insight Automation Business & Media Impact Reporting Standardization and Quality Dashboard & Data Product Ownership Reports to: President RESPONSIBILITIES: Media & Channel Analytics Analyze paid media across Google Ads, Meta, LinkedIn, Programmatic, YouTube; translate results into clear recommendations. Build/maintain attribution approaches (last-click, MTA, assisted) and funnel diagnostics. Integrate CRM/GA4/platform data to surface actionable trends by geo, audience, and creative. Predictive Modeling & Experimentation Develop forecasting and propensity models to guide budget allocation and channel mix. Run simulations (CPM/CPC/conv-rate scenarios) and design A/B and lift tests. Partner with SEO/CRO to connect acquisition with on-site conversion improvements. Dashboard Ownership (Existing Platform) Manage the dashboard development team (backlog, priorities, sprints) and collaborate on new features that improve usability and insight depth. Gather stakeholder requirements (Accounts, Media, Leadership) and maintain a transparent roadmap. Ensure data reliability (ETL QA, schema governance, tagging/UTM standards). Reporting & Client Enablement Support Account teams with data-backed, insight-driven reporting (monthly/quarterly reviews, executive summaries, narrative analyses). Build repeatable report templates; automate where possible while preserving clear storytelling. AI & Product Ideation Explore LLM/ML use cases (persona signals, creative scoring, conversion prediction). Prototype lightweight tools for planners/buyers (e.g., channel recommender, influence maps). What it takes to succeed in this role- QUALIFICATIONS: 5-7 years in data science/marketing analytics/digital media performance. Proficient in Python or R; strong SQL; experience with GA4/BigQuery and media platform exports. Comfort with BI tools (Looker Studio, Tableau, Power BI) and dashboard product management/ Data visualization. Familiarity with generative AI tools (e.g., OpenAI, Hugging Face, or Google Vertex AI) for automating insights, reporting, or content analysis. Comfortable in a fast-paced environment with competing priorities. Experience applying machine learning models to media mix modeling, customer segmentation, or predictive performance forecasting. Strong understanding of marketing attribution models and how to evaluate cross-channel performance using statistical techniques. Excellent communicator who can turn data into decisions for non-technical stakeholders. Experience with paid media a plus! Key Competencies Data Visualization & Storytelling - Skilled in transforming complex datasets into clear, compelling insights using tools like Tableau, Power BI, or Python libraries. AI & Machine Learning Expertise - Proficient in applying supervised and unsupervised learning techniques to optimize media performance and audience targeting. Media Analytics & Attribution - Deep understanding of digital media metrics, multi-touch attribution models, and cross-channel performance analysis. Dashboard Development & Management - Experience managing analytics dashboards, defining feature roadmaps, and collaborating with developers for scalable solutions. SEO/CRO Data Integration - Ability to synthesize SEO and conversion rate optimization data to inform predictive models and campaign strategies. Stakeholder Communication - Strong ability to translate data into actionable insights for Account teams and clients, supporting strategic decision-making. Automation & Efficiency - Familiarity with AI tools to streamline reporting, anomaly detection, and campaign optimization workflows. Statistical Analysis & Experimentation - Proficient in A/B testing, regression analysis, and causal inference to validate media strategies. The Perks: The best co-workers you'll ever find Unlimited PTO Medical, Dental, Vision, 401k plus match Annual performance bonus eligibility Ongoing training opportunities Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT: Prolonged periods of sitting at a desk and working on a computer. Occasional standing, walking, or lifting of office supplies (up to 10-20 lbs.) Frequent communication via phone, email, and video conferencing. Work is performed in a temperature-controlled office environment with standard lighting and noise levels. Position may require occasional travel to client site Compensation Range: We offer a competitive salary based on experience and qualifications. The compensation range for this position is $90,000 to $100,000 annually, with potential for bonuses, stock and additional benefits. EEO & Accessibility Statement Primacy is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require reasonable accommodation during the application or interview process, please contact [email protected]

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH). Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP). Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits Applications are now open for our NYC office, opening in September 2026. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. Trexquant is an Equal Opportunity Employer

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).

Hours: 40 Pay Details: $86,840 - $130,000 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: Analytics, Insights, & Artificial Intelligence Job Description: Depth & Scope: Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes Position typically deals with senior/executive management Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size Focuses on longer-range planning for functional area (e.g. 12 months or greater) May manage and prioritize multiple projects at a given time Education & Experience: Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or 5+ year of relevant experience; higher degree education and research tenure can be counted Customer Accountabilities: Works closely with business owners to identify opportunities and serves as an ambassador for data science Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business Shareholder Accountabilities: Analytical thought leadership and stays current on developments in data mining and the application of data science Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency Educates the organization on approaches, such as testing hypotheses and statistical validation of result Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment Translates up to date information into continuous improvement activities that enhances performance Adheres to enterprise frameworks or methodologies that relate to activities for business area Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite 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 own area of expertise in own area 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 Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships Contributes to a fair, positive and equitable environment that supports a diverse workforce Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel - Occasional International Travel - Never Performing sedentary work - Continuous Performing multiple tasks - Continuous Operating standard office equipment - Continuous Responding quickly to sounds - Occasional Sitting - Continuous Standing - Occasional Walking - Occasional Moving safely in confined spaces - Occasional Lifting/Carrying (under 25 lbs.) - Occasional Lifting/Carrying (over 25 lbs.) - Never Squatting - Occasional Bending - Occasional Kneeling - Never Crawling - Never Climbing - Never Reaching overhead - Never Reaching forward - Occasional Pushing - Never Pulling - Never Twisting - Never Concentrating for long periods of time - Continuous Applying common sense to deal with problems involving standardized situations - Continuous Reading, writing and comprehending instructions - Continuous Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

A leading global consulting firm is seeking a Senior Manager in Data Architecture for the Power & Utilities sector. This role requires at least 12 years of consulting experience and expertise in data architecture and engineering. The successful candidate will manage technology projects, lead teams, and develop innovative data solutions that drive significant business outcomes. Strong relationship management and communication skills are essential for engaging with clients and stakeholders. Join us to help shape a better working world. #J-18808-Ljbffr

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities * Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). * Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. * Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. * Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. * Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. * Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. * Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. * Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services.