Data engineer jobs in Newton, MA - 5,704 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

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Software Principal Engineer on our Software Engineering Team in Hopkinton, MA. What You'll Achieve As a Software Principal Engineer, you will develop advanced and innovative algorithms, considering efficiency, performance, and data reduction opportunities, and debug highly distributed, multi-threaded complex systems. You will be part of an exciting team of senior developers and architects who are working on new business-critical initiatives and the core Data Path of Dell Technologies' leading midrange storage product. The team you will work with is tasked with modeling, developing, debugging, and analyzing performance on the enterprise storage system. You Will: Be involved in the preparation, review, and assessment of software and storage requirements and specifications Develop core software primarily using C/C++ and Python Draft written specifications for tasks of varying complexity based on verbal requirements Utilize established software lifecycle methodologies Review and implement testing strategies for software products Take the First Step Towards Your Dream Career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8-10 years of related experience Good knowledge of programming languages, operating systems, firmware, BIOS , device drivers , databases, system, network, operating system, and application administration; embedded software/firmware ; tools and utilities , as applicable Knowledge of server, storage, networking, and client technologies Ability to code/debug moderately sophisticated programs using design specifications Knowledge of software architectures and applications Desirable Requirements Bachelor's or Master's degree in computer science or related field Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $178,500 to $231,000. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID: R282957

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

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.

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.

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. Here's a collection of articles about our product, mission, recent funding round, etc. Job Description We're hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare. You can expect to: Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured healthcare data. Apply and rigorously evaluate cutting-edge methods to solve real clinical problems. Work hand-in-hand with our customers to best leverage Layer Health's platform and supercharge their workflows. Stay up-to-date on the latest in applied NLP and generative AI techniques and proactively explore these technologies where applicable. Establish and enforce best practices for data science and analytics. Cultivate and foster a robust and thoughtful data science and product culture that drives the company forward. We look for: 5-7+ years of professional experience as a data scientist working for a company with major ML dependencies. At least 3-4 years of healthcare / clinical applications experience. A solid foundation of ML/methods. Fluent programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.). Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically. Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus). Proactive mindset to identify and solve problems, continuously improving our data science capabilities. A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $190,000 - 220,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations.You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management.At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data - Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. At Global Partners, business starts with people. Since 1933, we've believed in taking care of our customers, our guests, our communities, and each other-and that belief continues to guide us. The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we're proud to fuel communities-responsibly and sustainably. We show up every day with grit, passion, and purpose-anticipating needs, building lasting relationships, and creating shared value. : * Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes * Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI,GitHub Actions to ensure rapid, reliable deployments. * Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources. * Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation. * Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments. * Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale. * Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance. * Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle. Additional Job Description: * Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years' experience or 7 years' experience, in lieu of an applicable degree. * Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes). * Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required * Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions * In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments * Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments. * Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus. * Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst. * Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production. * Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge. * Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset * Bachelor's Degree Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors. Our Commitments to You * Coins! We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development. * Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support. * The Road Ahead - We offer 401k and a match component! * Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service. What to Expect From the Hiring Process We value passion and potential. Please apply if you're qualified and interested-we'd love to hear from you. A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match. Interviews are conducted virtually and in person, depending on the role. We'll provide more details about next steps if selected to move forward. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at ************ or 781-7GP-WORK. * Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Vectra is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit ************** Position Overview Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security. As part of the Data Science team you will directly impact the product by modeling complex problems and developing production software. You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our customers. Responsibilities Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior. Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility. Analyze detection algorithm performance and present key findings to business leaders. Collaborate with Security Research, Data Engineering, and Software Engineering teammates. Required Experience MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience) Hands-on experience with machine-learning and statistical techniques Strong experience with Python and object-oriented programming Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.) Familiarity with data structures and algorithms Linux and Git proficiency Desirable Qualifications Familiarity with Spark, Flink, or other distributed computing systems Experience with cloud computing platforms (AWS, Azure, GCP, etc.) Database experience (SQL or NoSQL variants) Experience working in a software development team Programming experience in C++, Scala/Java, Go, or other languages Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate's location, experience and relevant incumbent pay position. Vectra Total Rewards$140,000-$180,000 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

About the Role At Apriori Bio, we have built our unique technology platform Octavia™ to help survey viral landscapes and improve vaccine design towards increased efficacy and breadth. This role will serve as a critical part of this effort, sitting on the Platform team that develops and builds the key capabilities supporting Octavia. You will partner with our wet-lab scientists as well as our broader computational team to turn our high-throughput immune landscaping data into actionable insights and features for the design of better vaccine candidates. Additionally, you will develop innovative approaches predicting the ability of antigens to evade existing immunity, thus enabling the design of the next generation of variant-resilient vaccines. In this cross-functional role, you will have the opportunity to utilize our in-house and external databases, generate data-driven insights, and contribute to the expansion and refinement of Octavia™. Position Summary Apriori Bio is seeking a Data Scientist with a track record of developing and successfully applying analytical tools to high-throughput sequencing assays. This role is positioned at the interface between the high-throughput biological readouts that power Octavia and the expanding set of platform capabilities enabling the design of better vaccine candidates against infectious disease. Experience in the analysis and interpretation of high-throughput functional and/or genomic assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) is desired. The role requires strong data visualization and communication skills, as well as a proficency in bioinformatics. Technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics is preferable. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment. Core Responsibilities: Execute and manage high-throughput sequencing analysis pipelines Analyze and interpret results of high-throughput experiments, assessing relevance for associated programs and communicating evaluated results to program teams. Collaborate with wet-lab scientists to design experiments for assay development, program advancement, & expansion of the Octavia platform. Collaborate with broader Apriori team to develop and optimize new high-throughput assays to expand the capabilities & impact of Octavia Perform longitudinal data analyses to support experimental decision-making & platform development. Integrate various data sources to engineer useful features for predictive modeling & antigen design. Assist with organizing, extracting, and uploading proprietary experimental information programmatically with Benchling ELN's SDK. Create clear, user-friendly visualizations to be developed into dashboards and automated workflows. Regularly present platform progress in research and executive team meetings, creating comprehensive reports and slides for widespread communication. Uphold data management integrity and reproducibility through established software engineering best practices. Monitor cutting-edge technologies and models and identify potential collaboration opportunities across the Flagship Ecosystem. Qualifications and Skills: Ph.D. in life sciences or a quantitative field. Proficiency in writing production-standard Python code, especially with packages in the scientific computing ecosystem (NumPy, SciPy, Matplotlib, pandas, etc.). Experience with analyzing and interpreting high-throughput experimental data Solid bioinformatics background with proficiency handling and analyzing sequence data Strong scientific and quantitative acumen, with a demonstrated ability to integrate this acumen into platform & model building Familiarity with collaborative coding using GitLab best practices and commands. General proficiency with cloud platforms, specifically AWS. Demonstrable extensive experience or study in statistical/quantitative modeling & machine learning. Working knowledge of quantitative data pipelines, including workflow orchestration, ETL processes, quality control management, and reporting. Knowledge in at least one ML framework (PyTorch/TensorFlow/Jax). Effective working in fast-paced, highly collaborative, and matrixed teams. Exceptional communication skills, especially with requirements gathering and data presentation. Preferred Additional Skills: Familiarity with immunology, vaccinology, or infectious disease concepts. Previous experience in a biotech startup. Experience building technology to process high-throughput sequencing (HTS) assays, preferably display-based HTS systems like phage, yeast, and/or mammalian cell surface display. Hands-on experience with Databricks, including cluster management, Unity Catalog-based data workflows, Spark/PySpark, and developing SQL queries/dashboards. Knowledge of anomaly detection methods, structural biology visualizations, and data modeling. Familiarity with cloud native tools such as AWS s3 and ec2. Understanding of DevOps, change management, and technical documentation concepts. Ability to communicate effectively across various platforms, such as Jupyter notebooks, PowerPoint, Teams, and verbal discussions. About Flagship Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at *************************** At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. The salary range for this role is $115,000 - $165,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Apriori Bio, Inc. currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Apriori Bio, Inc.'s good faith estimate as of the date of publication and may be modified in the future.