Data engineer jobs in Warwick, RI - 2,226 jobs

A leading cybersecurity firm in Boston is seeking a skilled team lead to oversee development teams, mentor members, and deliver high-quality data solutions. The ideal candidate has extensive experience in Python and cloud technologies. This full-time position offers a competitive salary, with a range of $129,000 to $193,500, reflecting skills and experience. Join a diverse team committed to empowering clients and disrupting cyber threats. #J-18808-Ljbffr

A government contracting startup is seeking a Markets Lead to conduct quality analysis and strategy on government contracting data. This role includes reviewing data quality and producing deliverables for clients. Ideal candidates are self-starters with familiarity in government contracting data and a drive to make a significant impact. The position offers comprehensive benefits including medical, dental, vision coverage, and relocation assistance for full-time employees. #J-18808-Ljbffr

Immediate need for a talented Data Scientist II. This is a 11+ Months Contract opportunity with long-term potential and is located in Cambridge, MA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:25-96101 Pay Range: $66 - $72/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Leverage Bioinformatics, System Biology, Statistics and Machine Learning methods to analyze high-throughput omics datasets, with a specific focus on novel target and biomarker discovery in Neuroscience. Lead computational analyses and data integration projects involving genomic, transcriptomic, proteomic, and other multi-omics data. Provide high-quality data analysis and timely support for target and biomarker discovery projects supporting the organization's growing Neuroscience portfolio. Keep up to date with the latest bioinformatics analysis methods, software, and databases, integrating new methodologies into existing frameworks to enhance data analysis capabilities. Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages. Provide computational biology /data science input in research strategy and experimental design, provide bioinformatics input, and assist in interpreting results from both in-vitro and in-vivo studies. Communicate study results effectively to the project team and wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals. Key Requirements and Technology Experience: Must have skills: - ["bioinformatics / computational biology ", " Multi-omics data analysis", “Machine Learning & Statistical modeling”, " Biological data integration”, “Python and/or R”, “HPC or cloud computing environments”, “Git / GitHub”] Demonstrated expertise in bioinformatics, computational biology, machine learning, multi-omics data analysis, biological data integration and interpretation. Extensive and demonstrated experience in the computational analysis of multi-modal and multi-scale (e.g. single cell, spatial) molecular profiles of patient-derived samples. Proficient in one or more programming languages (e.g., Python, R) and competent with HPC environments and/or cloud-based platforms. Experience with version control systems, such as Git (e.g., Github). Good working knowledge of public and proprietary bioinformatics databases, resources and tools. Familiarity with public repositories of DNA, RNA, protein, single-cell and spatial profiling data. Ability to critically evaluate scientific research and apply novel informatics methods in translational applications. Strong problem-solving skills, self-motivated, attention to detail, and ability to handle multiple projects. Proven ability to conduct research individually and collaboratively. Proven track record of contributions to peer-reviewed publications in the field of bioinformatics or computational biology. Excellent communication skills (written, presentation, and oral). PhD. in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline with a minimum of 2 years of academic or industry experience. MSc in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline, with a minimum of 5 years of academic or industry experience. Experience in analyzing neuroscience datasets and working knowledge of neuroscience, especially neurodegenerative diseases. In-depth understanding of drug target and biomarker identification in an industry setting Our client is a leading Pharmaceutical Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

asset-management, technology, Data & BI Perm Hybrid The Role This is a senior data engineering role embedded within a trading-focused environment, supporting execution, operations research, and quantitative trading teams. You'll help build and maintain the data platform that underpins trading analytics across multiple asset classes. The work is practical and production-oriented - ensuring data is reliable, accessible, and fit for purpose in time-sensitive trading workflows. This role suits someone who enjoys working close to trading and research teams while owning core data infrastructure. What You'll Be Working On Designing and maintaining scalable data pipelines from multiple sources Improving reliability and monitoring of data ingestion processes Transforming raw data into analytics-ready datasets Automating data and analytics workflows where possible Implementing data quality checks and pipeline observability Partnering with quantitative trading teams to enhance platform performance Supporting data used across execution, operations, and research What They're Looking For Strong experience in data engineering or data-intensive environments Hands-on programming experience in Python or similar languages Experience working with high-volume, structured and unstructured datasets Understanding of data quality, monitoring, and automation concepts Exposure to trading data, market structure, or transaction cost analysis is a plus Comfortable working independently and owning initiatives Clear communicator who works well with technical and non-technical partners Background Degree in computer science, engineering, or a related technical discipline Several years of relevant industry experience Track record of improving data platforms in production environments Why This Role Direct alignment with trading and execution teams Ownership over data used in live decision-making Opportunity to improve systems that operate at scale Hybrid working within a collaborative, research-driven culture Apply for this position Full Name Email Phone Linkedin Upload CV/Resume Maximum allowed file size is 8 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. #J-18808-Ljbffr

A dynamic startup in government contracting is seeking a Markets Lead to perform quality analysis and strategy on government contracting data. The ideal candidate will review and improve data quality and create research reports for customers. Candidates are preferred to have some familiarity with government contracting data, and veterans are encouraged to apply. This role offers top-tier benefits, including comprehensive healthcare coverage fully paid by the company, and relocation assistance is available. #J-18808-Ljbffr

We're partnering with an innovative healthcare organization to find a Senior Data Engineer who's passionate about building scalable data platforms that support meaningful, real-world impact in healthcare. This is a hybrid role based in Boston, offering the opportunity to work with modern cloud technologies while contributing to solutions that improve patient outcomes and operational efficiency. What You'll Be Doing Design, build, and maintain scalable data pipelines and data warehouses Work extensively within the Microsoft Azure ecosystem, including Databricks Integrate and manage data from EPR/EMR and CRM systems Collaborate with cross-functional teams to support analytics, reporting, and data science initiatives Ensure data quality, reliability, and performance across platforms Implement and support DevOps and CI/CD pipelines for data engineering workflows What We're Looking For Senior-level experience as a Data Engineer Strong hands-on experience with Azure, Databricks, and cloud-based data architectures Proven experience integrating data from EPR/EMR and CRM systems Advanced SQL and Python skills Experience designing and building enterprise data warehouses Familiarity with DevOps practices and CI/CD pipelines Experience in healthcare or regulated environments is a strong plus Why This Role? Join a company focused on innovative healthcare solutions Work on impactful projects that truly make a difference Collaborative, forward-thinking engineering culture Hybrid flexibility with a Boston-based team Interested or know someone who'd be a great fit? Reach out to me directly or apply here to learn more about this exciting opportunity.

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

• Data Pipeline Development: Design, implement, and maintain robust, scalable, and efficient data pipelines using Jenkins for automated data extraction, transformation, and loading (ETL) processes. • Relational Database Management: Manage and optimize relational databases (e.g., MySQL, PostgreSQL) to ensure data integrity, availability, and performance for diverse applications and analytical purposes. • API Integration: Collaborate with software developers to integrate data from various sources through APIs, ensuring seamless data flow between systems and applications. • Data Modeling and Architecture: Create and maintain data models and data architecture to support analytics and reporting needs, ensuring data consistency and proper documentation. • Data Analysis and Insights: Utilize Python and RDS to perform advanced data analysis, interpret complex data sets, and deliver actionable insights to key stakeholders and decision-makers. • Performance Optimization: Identify and resolve performance bottlenecks within data pipelines, databases, and queries to improve system efficiency and response times. • Data Quality Assurance: Implement data quality checks and validation processes to ensure the accuracy and reliability of data throughout the data ecosystem. • Data Security and Compliance: Maintain data security standards and compliance with data protection regulations, implementing necessary measures to safeguard sensitive information. • Collaboration and Communication: Work closely with cross-functional teams, including data scientists, business analysts, and IT, to understand data requirements, develop solutions, and present findings effectively. Skills: • Bachelor's degree or relevant experience in Computer Science, Data Science, Information Technology, or a related field. An advanced degree/experience is preferred. • Proven experience as a Data Engineer, Data Analyst, or a related role with a strong technical background in Jenkins, Relational Databases, APIs, Python, and RDS. • Solid understanding of data modeling, database design principles, and data warehousing concepts. • Proficiency in programming languages like Python, SQL, and RDS for data manipulation, analysis, and automation tasks. • Familiarity with cloud-based technologies, such as AWS, GCP, or Azure, and the ability to leverage cloud services for data management. • Experience with Jenkins for automated build, test, and deployment processes. • Strong problem-solving skills and the ability to troubleshoot data-related issues efficiently. • Excellent communication and collaboration skills to work effectively in a team-oriented environment. • A passion for data-driven decision-making and a keen eye for detail. • Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus. Cyber Security: • The client is looking for data-security experience within data engineering, not a traditional cybersecurity role. • They want someone who has secured cloud-based ETL pipelines, handled IAM/RBAC, protected data in S3 and RDS, secured Jenkins pipelines, and implemented encryption, access controls, and basic compliance practices as part of their data engineering work. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

The Data Governance Engineer plays a pivotal role in ensuring the integrity, quality, and security of organizational data assets. This position will collaborate with various teams across the organization to establish and enforce data governance policies, standards, and procedures. Responsibilities include identifying data quality issues, implementing data governance frameworks, and driving initiatives to improve data management practices. This role requires a strong understanding of data governance principles, excellent analytical skills, and the ability to communicate effectively with stakeholders at all levels. Duties and Responsibilities: Responsibilities include, but are not limited to: Design, implement, and maintain data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements and organizational standards. Monitor and assess data quality issues, establish data quality metrics, and develop strategies to improve data accuracy, completeness, and consistency. Classify data assets based on sensitivity and criticality, establish metadata standards, and implement metadata management processes to enhance data discoverability and usability. Collaborate with cross-functional teams, including IT, legal, compliance, and business units, to define data governance requirements, resolve data-related issues, and promote a culture of data stewardship. Ensure compliance with data privacy regulations (e.g., HIPAA) by implementing data access controls, encryption mechanisms, and data anonymization techniques to protect sensitive information. Evaluate, select, and implement data governance tools and technologies to support data governance initiatives, such as data cataloging, data lineage, and data quality monitoring. Generate and distribute regular reports on data governance activities, including data quality assessments, compliance audits, and remediation efforts, to senior management and stakeholders. Identify opportunities for process improvement, automation, and optimization of data governance workflows to enhance efficiency and effectiveness. Other duties as assigned by Manager Corporate Compliance Responsibility - As an essential function, responsible for complying with Neighborhood's Corporate Compliance Program, Standards of Business Conduct, applicable contracts, laws, rules and regulations, policies, and procedures as it applies to individual job duties, the department, and the Company. This position must exercise due diligence to prevent, detect, and report unlawful and/or unethical conduct by fellow co-workers, professional affiliates and/or agents. Qualifications Qualifications Required: Bachelor's degree in computer science, information technology, data management, or a related study, or equivalent combination of education and relevant work experience Minimum of three (3) years of experience in data governance, data management, or related fields, with a deep understanding of data governance principles, practices, and methodologies Strong analytical skills with the ability to analyze complex data sets, identify trends, and recommend solutions to improve data quality and governance Proficiency in data governance tools and technologies, such as data cataloging tools, metadata management platforms, and data quality tools (e.g., Spirion, MS Purview) Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels, translate technical concepts into business terms, and influence decision-making processes Knowledge of data privacy regulations (e.g., HIPAA) and experience implementing data privacy and security controls Excellent communication skills Strong attention to detail, organizational skills, analytical and problem-solving skills and ability to manage multiple priorities in a fast-paced environment Preferred: Experience working in regulated industries (e.g., healthcare) with a focus on data governance and compliance. Familiarity with data management best practices, data modeling techniques, and data architecture principles. Neighborhood Health Plan of Rhode Island 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, disability or veteran status.

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

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Are you passionate about building robust data ecosystems that power advanced analytics and business insights? Join our dynamic team as a Data Engineer III, where you'll design and implement cutting-edge data pipelines, integrate diverse data sources, and ensure the highest standards of data quality, security, and compliance. This is your opportunity to work on impactful projects that shape the future of data-driven decision-making. What You'll Do Architect & Innovate: Design and maintain scalable data pipelines and infrastructure for ingestion, integration, and storage of structured and unstructured data. Enable Analytics: Deliver clean, reliable datasets for Business Intelligence, Advanced Analytics, and Data Science teams. Optimize Performance: Implement modern practices using Microsoft Fabric, SQL Server, SSIS, Power BI Premium, and big data frameworks like Spark. Ensure Quality: Validate solutions through rigorous testing and maintain data integrity across all systems. Collaborate & Lead: Partner with Product Owners, Architects, Analysts, and Data Scientists on medium-to-large projects, and lead small-to-medium initiatives independently. Drive Continuous Improvement: Automate processes, optimize data delivery, and redesign infrastructure for scalability. What We're Looking For Prefer 4 year/bachelor's degree or master's degree in computer science, Information Technology, Computer Engineering, or equivalent experience 5+ years relatable work experience Ability to design and optimize SQL queries across cloud data warehouses, with strong proficiency in T‑SQL. Skilled in data orchestration and ETL tools such as Azure Data Factory or SSIS, and eager to adopt Fabric Data Factory (Pipelines & Dataflows Gen2). Background in CI/CD and version control for data solutions (e.g., Git, deployment pipelines), with interest in DevOps practices for analytics platforms. Familiarity with modern data lake architectures, including Delta Lake and medallion design patterns. Knowledge of columnar storage formats and lakehouse technologies such as Delta Lake and Parquet for scalable data processing. Hands-on work with big data frameworks like Apache Spark (PySpark or Scala) for batch workloads is helpful. Understanding BI and semantic modeling concepts, including star schema design and performance tuning is helpful. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. Well qualified candidates may be considered for a data engineer IV. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1

A well-established investment firm in Boston is seeking an experienced Senior Quantitative Developer to join their Research team. You will focus on building the next-generation Research data platform using Python and cloud technologies. The ideal candidate has strong analytical skills and substantial experience in programming. This role offers a competitive salary of $170,000 - $325,000 per year and a comprehensive benefits package. #J-18808-Ljbffr

A robotic automation company is looking for a Machine Learning Engineer to develop scene understanding models and optimize model deployment. This position emphasizes using AI and MLOps to automate warehouse processes and improve robot performance. Candidates should have 3+ years in Machine Learning, strong Python skills, and experience with tools like TensorRT and ONNX. The salary ranges from $130,000 to $160,000, reflecting our commitment to transparency in compensation. #J-18808-Ljbffr

Clearance Level: Secret, TS/SCI Eligible US Citizenship: Required Job Classification: Full Time Years of Experience: 7-10 years of relevant experience Education Level: BS Degree - Experience may be considered in place of education requirement. Summary Sustains AFMSTT and C2SET legacy baselines; ensures uninterrupted training/simulation/ stimulation support; manages legacy CR/DRs and supports transition to modernized systems. Responsibilities Sustain/maintain legacy systems, models, and interfaces. Ensures legacy operational sustainment of all operational training, simulation and simulation artifacts Provide CR/DR changes, urgent exercise support, GitLab updates, OS/fielding changes. Design and integrate legacy ASCCE and federation fielding. Support transition engineering for attributes marked for modernization. Qualifications Relevant AFMSTT/C2SET sustainment experience. Experience with AWS/Azure and RESTful architecture. 2+ years military planning/operations/wargaming. 2+ years AOC simulation training. Requirements Clearance: U.S. citizen; Secret clearance at award, TS/SCI eligibility may be required. Travel: Must support CONUS/OCONUS travel to sustainment and exercise sites. Cybersecurity/Compliance: Handle classified/CUI/CDI IAW DoD and NIST standards; remediate vulnerabilities on required timelines. Global InfoTek Inc. 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, protected veteran status, or based on disability. About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades. #J-18808-Ljbffr

Position Description: Primary Responsibilities: Education and Experience: Bachelor's degree in Mathematical Finance and Financial Technology, Engineering, Statistics, Mathematics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts. Or, alternatively, Master's degree in Mathematical Finance and Financial Technology, Engineering, Statistics, Mathematics, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts. Skills and Knowledge: #J-18808-Ljbffr

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: Data Curation & Validation Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. AI System Quality & Correctness Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. Strategy & Collaboration Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. Computational Focus: Experience as a Computational battery AI specialist.

Must Have Technical/Functional Skills * Hands-on experience with Alation or similar tools (e.g., Collibra, OvalEdge etc). * Strong understanding of metadata management, data lineage, and data quality principles. * Familiarity with cloud platforms (AWS, GCP, Azure) and modern data stacks. * Proficiency in Agile methodologies and tools (e.g., Jira, Confluence). Roles & Responsibilities We are seeking a strategic and technically adept Product Owner to lead initiatives involving the Alation Data Catalog. This role will be responsible for defining and executing the product vision, roadmap, and delivery of data catalog capabilities that enhance data discovery, governance, and literacy across the organization. Job Responsibilities: * Define and maintain the product roadmap for Alation-based data catalog initiatives. * Align catalog capabilities with enterprise data strategy and business goals. * Collaborate with data stewards, analysts, engineers, and business users to gather requirements and feedback. * Act as the primary liaison between business and technical teams. * Create and manage a prioritized product backlog. * Write clear user stories and acceptance criteria for catalog features and enhancements. * Drive adoption of metadata standards, data lineage, and stewardship practices using Alation. * Ensure catalog content is accurate, up-to-date, and aligned with governance policies. * Promote data literacy and catalog usage through training, documentation, and internal advocacy. * Define KPIs to measure catalog adoption and data quality improvements. * Work closely with data engineers and architects to integrate Alation with data sources (e.g., Snowflake, AWS, data pipelining using AWS Glue etc.). * Support automation of metadata ingestion and policy enforcement. * 6+ years of experience in data management, data governance, or product ownership. * Excellent communication and stakeholder management skills. * Identify cost effective opportunities for improvement and recommend solutions to meet customers and user requirements, where appropriate. * Engage with the Automation SME Lead, look for opportunities for team development in a manner consistent with company policy and procedures * Develop internal team processes to ensure the integrity and quality of the service provision is maintained. Where possible, look for and propose opportunities for improvement * Escalate and manage situations arising from customer issues to Manager. Preferred Qualifications: * Experience with SQL and data modeling. * Knowledge of data privacy regulations (e.g., GDPR, CCPA). * Added advantages with background in financial services, Asset Management, or regulated industries is a plus. Salary Range- $120,000-$135,000 a year #LI-SP3 #LI-VX1

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. **Primary Duties and Responsibilities** + Meet and consult with scientists requiring data science support and design plans and solutions + Delivery of results for projects + Work as part of the broader team to identify longer-term solutions that will improve quality, + speed and efficacy of our current projects and programs + Evaluate and benchmark new libraries; prototype and pipeline development. + Deep data science skills, at the interface between computer science and statistics **Knowledge, Skills and Abilities** + Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects + Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. + Natural language processing experience preferred + Shiny, Spyre, Flask, WebDev and prototyping experience preferred + JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred + Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. + Significant scientific background with prior experience in clinical research **Minimum Job Qualifications** + PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment + 5 to 8 years of experience post PhD + Prior experience supervising at least 1 person preferred **License/Certification/Registration Required:** None **Supervisory Responsibilities:** No **Patient Contact:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $131,900.00 - $142,100.00

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Engineer, Platform you will be a key contributor to a data team centered around the mission of providing a best-in-class experience for our products and customers. In this role, you'll be leveraging your technical expertise in all aspects of "Infrastructure as Code" (IaC) with a focus on building ingestion frameworks that support real time and batch pipelines into our lakehouse with high availability. You will be working across teams, informing business decisions, helping to expand our platform, and define standards and best practices for platform use. What You'll Do Demonstrate leadership and ownership of the platform to deliver services for projects and users. Demonstrate expertise on platform and ingestion patterns that accommodate a variety of business and technical use cases Leverage your strong communication skills to keep users informed and provide excellent quality of service. Automate and manage ingestion pipeline provisioning, including connector setup, schema handling, metadata registration, and infrastructure components Configure and manage monitoring/alerting around replication latency, performance (cluster & query), and Airflow. Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc. Provide technical expertise, troubleshooting, and support for change management, governance compliance, internal audits, and remediations. What You'll Bring A proven track record of working in AWS, Terraform, Python, Kubernetes, and database replication tools/services (e.g., AWS DMS). Familiarity with Snowflake Snowpipes, Secure Data Sharing, and dynamic data masking. The ability to leverage new technologies to test, build, and optimize data pipelines, transformations, architectures, and data sets. Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus. Excellent communication skills and interpersonal skills to effectively communicate and collaborate with both business and technical teams. Experience with real time or micro batch ingestion technologies (Kafka, Kinesis, Pub/Sub, or Dataflow) and data logging/monitoring tools (e.g., Datadog) is preferred. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 116,800.00 USD - 146,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.