Data engineer jobs in Newton, MA - 2,933 jobs

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

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

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.

A global consulting firm is looking for a Senior Manager in Data Architecture focusing on the Power & Utilities sector. The role involves leading transformative projects, managing complex data architectures, and mentoring teams. The ideal candidate will possess strong consulting experience, particularly within utilities, and a significant understanding of data architecture and modern data technologies. This position offers opportunities for growth and visibility in a high-demand field, including a competitive salary and a flexible work environment. #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

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

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

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

Open Role: Onboarding Immediately for REAL is a modern platform focused on simplifying the leasing experience for tenants and landlords. Tenants can browse listings, take 3D tours, and complete the application process seamlessly on their phones. Landlords benefit from centralized management of the leasing cycle, from tours to rent collection, all in one platform. Role Description This is a full-time on-site Robotics Engineer role located in Danvers, MA. The Robotics Software Engineer will be responsible for tasks such as developing robotics systems, implementing process automation, and collaborating with the software development team to enhance technology solutions. Qualifications: Experience with Structure from Motion (SfM) and camera pose estimation Strong experience with 3D Gaussian Splatting and surface reconstruction Proficiency in Python and C++ Hands-on experience designing and implementing computer vision algorithms (segmentation, object detection, classification, tracking) Familiarity with deep learning models and their deployment Solid understanding of multi-view geometry Proficiency in OpenCV, and either PyTorch or TensorFlow Experience working with 3D point clouds, mesh generation, and libraries such as Open3D, Trimesh, or PCL Familiarity with 3D reconstruction pipelines (e.g., COLMAP, NerfStudio, Photogrammetry tools) Strong knowledge of coordinate frames, and camera calibration Preferred Qualifications: Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field Experience with ROS/ROS 2 concepts Familiarity with robot localization using SLAM and multi-sensor fusion Experience working with multi-modal sensors: GPS, LiDAR, stereo/depth cameras, IMUs Proficient in path planning algorithms (both global and local) Experience developing robotic software stacks for controls, motion planning, sensor integration, and simulation.

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.

Thorogood is an independent, specialized, data and analytics consulting firm that works with some of the biggest and best-known companies around the world. We have offices in London, Philadelphia, Boston, Singapore, São Paulo, and Bangalore, and we work as a global unit to service blue chip customers drawing from the consumer goods, pharmaceutical, insurance, and banking sectors, among others. Together, we compete on the basis of our specialism, our people, our independence, high quality, and our experience delivering assuredly for customers over several decades. We help our customers leverage the latest technologies to make timely, data-driven business decisions. Our multi-skilled teams understand the critical interplay of data engineering, data science, and data visualization. We work across these areas to create business-focused, end-to-end technology solutions robust enough to meet enterprise needs. We recognize the importance of environmental sustainability, both in how we work and in the solutions we build for our clients. Our services span strategy, implementation, advanced analytics services, user empowerment, and support. Additional information about us, our people, what we do, and some of perspectives can be found on our website here. About the Position Overview Our consultants are expected to have a strong interest in business. Understanding our clients' organizations and industries is key to identifying areas of opportunity for us to help. Similarly, consultants must have excellent listening, writing, and presenting skills, alongside the aptitude and motivation to master multiple data-focused technologies in a fast-moving field. This combination of business, people, and technical skills is essential. Our Brazil and US entities are managed together as one Thorogood Americas in support of development of our business not only in the region, but around the world. We work with our colleagues in the US, UK, India, Singapore, and Brazil to provide effective solutions for our clients situated across the globe. The global nature of our work exposes our consultants to a variety of experiences across industries and cultures. The ability to work collaboratively and effectively as part of a distributed team is therefore imperative for the position. Our most successful consultants develop a well-rounded set of skills in each of these areas of business, people, and technology. You'll do so via a number of opportunities: Comprehensive training: During your first months at Thorogood, experienced consultants will introduce you to the technologies we work with, the industries we serve, and the ways in which we develop our business. Crucially, we will share how we live our values. When you've finished, we'll plan to have you working on a client project immediately. Building your core technology skills: We're the kind of people who learn best by doing. You'll be working on a team locked onto business value for the customer to develop fast, effective, and high-quality technical solutions. Working with top clients: Thorogood works with some of the biggest and best-known companies in the world. You'll be a part of client interactions, sometimes leading them, to make sure we're keeping our projects on track and delivering value to our customers. Developing relationships: We consider ourselves trusted advisors for our clients. We earn this trust through listening carefully, sharing the expertise we have acquired, and helping to progress the objectives within their organizations. Shaping future projects: We are always listening to customers to understand their objectives and needs and working with our consultants to share proposals on how we can help. Working as part of a supportive project team: You'll be working from our offices, with occasional travel to client sites. Your project teams will comprise consultants across many levels of experience, working together daily to support one another along the way. Becoming an expert, yourself: Our subject matter experts are not necessarily the most tenured people at Thorogood. In the rapidly changing world of data and analytics, we look to all levels of experience to gain expertise in new technologies and analytical techniques. In addition to project work, Thorogood consultants run our company. We expect you to contribute here, as well: Helping to grow our business: Interact with current and prospective clients, listen to their needs, and drive business development activities and discussions. Together, we'll consider the business objectives in conjunction with the technical possibilities in order to understand the opportunities for their organizations. Delivering educationally focused marketing events: Prepare and present informational events for contacts at prospective and current clients. Fostering vendor partnerships: Help maintain and further our relationships with key vendor partners in the space including Microsoft, Databricks, Amazon Web Services, Google Cloud and others, whose offerings we implement for customers. Developing our consultancy: Contribute to recruiting, training, and managing our people. Additional Benefits We individually select each of our consultants very carefully through our comprehensive interview and assessment process. We place a great deal of value on consultants' growth and wellbeing. In addition to a challenging and rewarding career path, Thorogood offers the following benefits: Very competitive salary and compensation program Company-sponsored health, dental, and vision coverage 401(k) program with employer match Generous vacation allowance with incremental increases over time based on consultant tenure Incentive programs Opportunities for national and international travel Focus on work-life balance Location and Timing This position is based at our Back Bay office in Boston, MA. Our consultants are currently working in a flexible, hybrid work model. However, a level of in-person attendance at our office is required. The expected start date for this position is approximately between January 2026 or July 2026, depending on candidate start date availability. About You Qualified candidates must have Strong interest in business, people, and technology Strong academic record in a related discipline, including engineering, computer science, mathematics, statistics, business, management, or another business and quantitative-focused field Bachelor's degree with graduation between December 2025 and June 2026 Candidates must demonstrate effectiveness in Working individually and as part of project teams Maintaining responsibility and accountability for quality and work delivery Client focus and relationship management Time management and priority setting Data awareness and business interest Learning new technologies This is an entry-level position; no prior full-time employment experience is required. Please do highlight if you have studied or worked with Cloud BI & Analytics technology platforms, e.g. Databricks, Snowflake, Amazon Web Services, Microsoft Azure, or Google Cloud Platform SQL, Python, R, Scala, Spark, or any other programming or statistical programming languages and frameworks Applied mathematics, statistics, probability, machine learning, artificial intelligence, large language models, and/or generative artificial intelligence Data science, data engineering, data analysis, or data visualization technologies Managed structured, semi-structured, and unstructured data storage, transformation, or analysis Integrating data solutions into web applications Please note: Thorogood will ensure that every employee is authorized to work in the United States. If you are offered employment with the Company, we shall require proof of your authorization to work within the United States. Thorogood does not sponsor applicants for work visas. Applicants must be currently authorized to work within the United States on a full-time basis

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description We are looking for a talented and passionate designer to help define and bring to life a range of solutions related to Verily's Precision Health Platform. This role is part of our Platform UX team, a highly-collaborative group of designers, researchers, and content strategists focused on: * Building blocks like our Verily Design System that enable rapid deployment of world-class care and research programs. * Tools for professionals to design, configure, and operate innovative care and clinical research programs. Verily's growing data ecosystem, including Workbench, a biomedical research platform that makes the world's most scientifically valuable data discoverable, accessible, and analyzable. As a UX Designer focused on Verily's data platform and enterprise products, you will collaborate with other designers, UX researchers, product managers, software engineers, and data scientists to help to solve some of the biggest challenges in healthcare and clinical research. You will drive the end-to-end design process for a mix of projects, from discovery through to detailed execution, with the opportunity to distill complex problems into simple, beautiful, and powerful interfaces. Please include a portfolio in online or PDF format when applying. Make sure to include a password if applicable. Responsibilities * Take ownership of one or more parts of the platform user experience, including designing interactions and interfaces. * Collaborate with user researchers, product managers, content designers, and clinical/scientific domain experts to understand needs, identify opportunities and constraints, and rapidly iterate designs based on user feedback. * Work with our engineering team to ensure designs are implemented with quality, and collaborate with them to come up with creative solutions when technical challenges arise. * Level up our team culture & practice by contributing to our design system, participating in critiques, and collaborating on company-wide UX initiatives, interest groups, and other activities. * Evangelize UX through your quality of work, communication, and user advocacy. Qualifications Minimum Qualifications * An outstanding portfolio of thoughtfully designed products, demonstrating work across the end-to-end design process, from developing strong conceptual foundations to refining the smallest details with clear rationale. * Bachelor's degree in UX Design, HCI, Interaction Design, or related field with 3+ years of professional UX Design experience. * Excellent interpersonal, communication, and collaboration skills, with proven success working and aligning with cross-functional stakeholders such as product managers, researchers, and software engineers. * Familiarity with Figma as well as the technical intricacies of designing rich, accessible, responsive web applications. Preferred Qualifications (Having many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable) * Past work that focuses on Enterprise products, Data platforms, Healthcare, Medical services, or other relevant areas. * Experience designing rich data visualizations, complex professional tools, flexible enterprise platforms, AI utilities, or related design solutions. * Proven track record in bringing projects to launch into a commercial market. Please include a portfolio in online or PDF format when applying. Make sure to include a password if applicable. Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States. The US base salary range for this full-time position is $134,000 - $190,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries 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 salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.