Data engineer jobs in Boston, MA - 2,739 jobs

Smithfield, RI and Westlake, TX Full Time Must Have Skills: Strong SQL for querying and data validation Oracle AWS ETL experience with Java Spring Batch (for the ETL data transformation). Note: the ETL work is done in Java (so Python is only a nice to have). Must have Java for ETL which makes this role difficult to source on. DO NOT need Data Engineer without Java

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

For over 16 years, Trilyon has been a leader in global workforce solutions, specializing in Cloud Technology, AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top companies to deliver high-quality talent in engineering, IT, and emerging technologies. For additional information or to view all of our job opportunities, please visit our website ************************************ We are seeking an AI Data Architect to join our team. This role will involve designing and leading data and AI architecture solutions, collaborating with business stakeholders, and driving end-to-end solution closures. The ideal candidate will have extensive experience in retail data architecture, cloud data platforms, and AI/ML technologies, along with a passion for building scalable, data-driven AI solutions. Job Title: AI Data Architect Location: Waltham, MA Duration: 6 months Job Description: The AI Data Architect will be responsible for leading data architecture and AI initiatives, with a strong focus on retail domain solutions. Key responsibilities include: Leveraging 10+ years of retail domain experience to design and guide data and AI solutions. Working independently with business stakeholders to understand requirements, propose solutions, and drive solution closures. Applying strong proficiency in AI/LLM technologies, including prompt engineering and development of LLM-based agents. Designing and managing cloud data platforms with mandatory 5+ years of experience in Snowflake or Databricks. Establishing data architecture and governance frameworks, including standards, security, compliance, and continuous improvement of existing architectures. Writing advanced SQL queries for data analysis, profiling, and supporting foundational AI and analytical systems. Developing and deploying machine learning solutions using Python, with hands-on experience in MLOps and CI/CD orchestration, and integrating models into big data platforms. Building scalable application architectures using Python, Streamlit, and YAML, particularly for chatbot applications. Providing technical leadership with 5+ years of experience in solution architecture or technical lead roles, including mentoring engineers and leading projects. Why Join Us? Trilyon, Inc., offers a comprehensive benefits package. Opportunities for growth and professional development. Collaborative and inclusive company culture. Equal Employment Opportunity (EEO) Statement: Trilyon, Inc., is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable laws. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.

Role: Data Architect - HR Data & Analytics The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support KKR's global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills: Experience building and supporting data warehouses specifically for HR and People Analytics domains.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Manager, Data Engineering McLean, VA: $193,400 - $220,700 for Manager, Data Engineering Richmond, VA: $175,800 - $200,700 for Manager, Data Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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. As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention. You'll be part of our innovative and diverse team of sophisticated data and analytics professionals. You'll work alongside multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering. Through constant learning, innovation, discovery, and collaboration you'll not only help FM deliver on the promise of loss prevention, but you'll also grow your career and the scope of your impact across our company. Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision. Your projects will be interesting, exciting and ambitious! You will use statistics to advance the mission and goals of FM. Ph.D. in Statistics, Biostatistics or Operational Research with 2+ years of industry experience or a Master's degree with 5+ years of industry working experience in data science modelling 5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R, or SQL 2+ years of experience of working with cloud data analytics platform, such as Databricks Advanced Knowledge and Working Experience in: Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) Model Regularization Probability Distributions Hypothesis testing Statistical Inference Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) Simulation Experiment Design Non-Parametric Statistics Experience as the lead role of full-cycle data science projects Working experience in risk management and/or property insurance is strongly preferred Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. 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

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.

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.

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 (old GPS of the Interview 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.

Ready to help us transform healthcare? Bring your true colors to blue. About the Role The Financial and Evaluation Measurement team is seeking a Data Scientist with strong technical expertise and a background in a quantitative discipline. In this role, you'll work with large, complex healthcare datasets to project and evaluate the financial impact of policy changes, clinical programs, and third-party solutions. You'll design analytical models and compelling visualizations that inform key business decisions, helping shape strategies to lower costs and improve the quality of care for our members. This role is eligible for our Flex Persona. For candidates local to our Boston, MA and Hingham MA offices. Your Day to Day Analyze large, complex datasets from a robust Enterprise Data Warehouse to identify drivers of healthcare cost trends, market pressures, and profitability. Design and execute advanced statistical models and predictive analytics to inform financial projections and evaluate cost/benefit of business initiatives. Create clear, compelling data visualizations and communicate actionable recommendations that reduce healthcare costs and improve member outcomes. Lead cross-functional analytic projects from design through implementation, ensuring consistent representation of financial performance across the organization. Partner closely with teams including Payment Integrity, Health and Medical Management, Provider Contracting, and others, to ensure alignment between analytics and business strategy. We're Looking For Bachelor's degree in Mathematics, Statistics, Data Science, Economics, Healthcare Analytics, or related field required. Master's degree preferred. 5+ years of professional experience in data science, healthcare analytics, or a related field. Proficiency in SQL, Python and/or R for data extraction, manipulation, and modeling. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with SAS is a plus but not required. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills-able to distill complex analyses into clear, actionable insights for non-technical audiences. Proven ability to manage multiple projects and meet deadlines in a fast-paced environment. Collaborative mindset and adaptability to shifting business priorities. What You Bring Passion for using data to improve healthcare quality and affordability. A creative, solution-oriented approach to complex business problems. Ability to influence decision-making through clear data-driven insights and strong stakeholder partnerships. A team-first perspective with a proven record of driving projects to completion and measurable impact. What You'll Gain You will design and validate analytic frameworks, uncover emerging drivers of healthcare cost and utilization, and deliver insights that shape strategy in pricing, product development, financial planning, and forecasting. The Business & Account Analytics team executes innovative analytics to inform corporate strategy in critical areas including competitiveness, affordability, profitability, provider payment reform and health care policy. As an Analyst on the Business & Account Analytics team, you will work with a rich dataset and a robust well-established Enterprise Data Warehouse to identify emerging drivers of health care trend and cost, market pressures, and profitability. #LI-Hybrid Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above LocationBostonTime TypeFull time Salary Range: $114,414.00 - $142,120.00 The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability. This job is also eligible for variable pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. WHY Blue Cross Blue Shield of MA? We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL. As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join our Talent Community to stay “in the know” on all things Blue. At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.

Site: Mass General Brigham Incorporated Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Summary Responsible for designing, developing, and maintaining the data architecture and infrastructure within an organization. This position plays a crucial role in managing large-scale data systems and ensuring the efficient flow, storage, and accessibility of data for various stakeholders, such as data analysts, data scientists, and business users. Essential Functions -Design, develop, and implement data pipelines and ETL/ELT code to support business requirements. -Work on cross-functional teams delivering enterprise solutions for internal and external clients. -Assume ownership for delivering code revisions and enhancements from design through development and production installation. -Maintain and optimize various components of the data pipeline architecture. -Become subject matter expert for internal and external data products Ensure design solutions can scale and meet technical standards and performance benchmarks. -Identify inefficient processes and develop recommendations and design solutions. -Lead code review sessions to validate technical solutions and facilitate knowledge sharing. Qualifications Education Bachelor's Degree Related Field of Study required Can this role accept experience in lieu of a degree? Yes Principal Responsibilities Works with cross-functional teams to understand functional product requirements and deliver on strategic data and analytics initiatives. Design, build, test and maintain architectures within the ‘Quality Data Hub' of our cloud-based enterprise data warehouse. Build ETL/ELT ingestions for OCMO related data and handle related monitoring and support duties. Accrues advanced knowledge of the OCMO product domains and can quickly apply development strategies to meet the stakeholder requirements for the data products. Define and implement the processes and tooling through which enterprise curated data models are built and maintained. Partners with solutions architects, analytics engineers, and data visualization developers to understand data extraction and transformation needs and builds a platform and related processes suited to them. Develop and enforce change management and versioning processes for code promotion. In collaboration with lead analytic staff, architect and enforce thorough quality assurance, testing and peer review procedures to ensure the accuracy, reliability, and validity of end products. Helps identify potential bottlenecks within the development lifecycle and propose high-level strategies to overcome them. Triage, troubleshoot and resolve data issues from end users and internal team members. Build and foster relationships with senior leadership/physicians and key program stakeholders to understand multifaceted business problems and develop analytical solutions to complex issues to satisfy reporting and analytical needs. Supports other team members with promotion to production, ensures a consistent process across the team; informs other data engineers and domain team leads of new changes to promotion process. Guide and train data engineers by familiarizing them with the data products they will use and providing them with relevant information about OCMO domains. Follows MGB Digital guidelines and standard practices to leverage existing tools and methods to efficiently develop modeling solutions, ensure that work is not duplicated, and is appropriately transitioned between teams. Uses the Mass General Brigham values to govern decisions, actions, and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration. Other duties and responsibilities as assigned. Knowledge, Skills and Abilities Prior experience working with healthcare data is strongly preferred. Prior experience working with dbt is strongly preferred. Ability to function effectively and independently in a fast-paced environment, organize and prioritize work independently, and meet tight deadlines. Ability to manage multiple projects simultaneously, set priorities, and collaborate with team members and others throughout the organization. Possess strong interpersonal skills to effectively communicate with cross functional teams including staff at all levels of the organization. Willing to contribute to and foster a team player culture where all are encouraged and willing to share information accurately. Able and motivated to mentor/train junior staff members. Knowledge of agile principles and experience working within an agile team is preferred. Practical problem-solving abilities, i.e. the ability to formulate hypotheses, test options and move forward in a fast-paced environment. Excellent interpersonal skills, including strong customer service orientation and the ability to translate complex technical concepts to non-technical audiences. Advanced SQL DML skills required, with comparable experience in writing data functions (e.g. TSQL procs, Snowflake UDFs, etc.). Experience Bachelor's or master's degree in computer science, informatics, statistics, or related field and an interest in healthcare and the use of technology to support clinical care. 5+ years' experience with data modelling, ETL/ELT development, or similar role working with complex SQL queries and data extraction/transformation. Experience with cloud data warehousing environments such as Microsoft Azure and Snowflake are a plus Experience with ETL/data modelling tools such as dbt, Informatica, and Ab Initio are a plus. Must possess a strong background in data warehousing projects. Must be able to identify, triage, and resolve or dispatch issues. Must possess strong data analysis skills and be able to perform data analysis using SQL, SAS, or similar query languages. Must possess strong oral and written communication skills. Must be capable of working independently with limited to no supervision. Must be willing to contribute to and foster a team player culture where all are encouraged and willing to share information accurately. Additional Job Details (if applicable) Working Model Requirements Hybrid with onsite work required in office, candidate must be flexible for weekly or monthly business needs M-F Eastern business hours required On remote workdays, employees must use a stable, secure, and compliant workstation in a quiet environment. Teams video is required and must be accessed using MGB-provided equipment. Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $92,102.40 - $134,056.00/Annual Grade 7 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description Working knowledge of Big Data ( Hadoop & NoSQL) on Cloud. Experience preferred with Azure, AWS Redshift etc. At least 6 years of experience and exposure in Java /JEE technology and related frameworks among that 4+ years of hands on experience. At least 2 years of hands on experience in Big Data solutions like Hadoop, MongoDB, Cassandra or any other NoSQL solution (any one is fine) with some understanding of Architecture Methodologies like TOGAF, RM-ODP, Rational 4+1 At least 2 years of experience as an Architect providing some thought leadership, white papers and leadership/mentoring of staff and internal consulting teams Experience in providing advanced technology advisory service. Experience in defining new architectures and ability to drive an independent project from an architectural stand point, Involved in Application Performance tuning. Understanding of market and Technology trends. Analytical skills Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 5 years of experience in IT Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Full time job opportunity for you. Only USC, GC, EAD-GC, H4-EAD, L2-EAD, TN Visa can apply. Please do mention your current US Visa Status in your resume to submit your resume soon.

Thorogood is an independent, specialized, Data & AI 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, and financial services sectors, among others. Together, we compete on the basis of our specialism, our people, high quality, and assured delivery. 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 office in Boston, with occasional travel externally to client sites and internally to other Thorogood offices. Your project teams will be comprised of 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 November 2023 and June 2024 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

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1C0AbCD *You can apply through Indeed using mobile devices with this link. Job Description No Sponsorship/Visa's Our established client is looking for a Data Scientist to join their Data/Analytics team. Please come with passion working on data parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data. You enjoy processing data to help drive better business decisions in a fast-paced environment. Preference will be given to previous experience with online marketing campaigns or a strong motivation to gain knowledge in the field. Responsibilities of the Data Scientist: Extract data from databases, write scripts to parse, clean, combine, and process them Work with an extensive online marketing SQL database and prepare reports to drive actionable optimization decisions Develop a tailored global bidding strategy for online marketing campaigns Collaborate with external providers (e.g. Google, Kenshoo) and incorporate their solutions for bidding and reporting Prepare graphs or visualizations of processed data, identify trends, anomalies Investigate data problems, identify patterns Draw inferences and conclusions, communicate results through reports, charts, or tables Requirement of the Data Scientist: Computer Science, Electrical Engineering, or Mathematics degree. Masters or PhD a plus SQL and database experience is a must, with Hive/Hadoop preferred Solid programming skills with at least one high-level language such as Python, Java, Perl, or C/C++ Good knowledge of data structures, algorithms, and statistics Basic knowledge of Unix shell scripting Knowledge of Adwords (or other online marketing tools) a plus Knowledge of Machine Learning would be a plus Additional Information All your information will be kept confidential according to EEO guidelines. Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1C0AbCD *You can apply through Indeed using mobile devices with this link.

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. Responsibilities 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 REQUIRED: * 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 Qualifications 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 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) $133,700 - $138,000 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 that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. EEOC Poster

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data. You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement Key Responsibilities Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets. Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets. Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity. Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models. Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA). Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability. Document data engineering processes, data models, and data dictionaries. Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning. Requirements Required Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer, with a focus on big data technologies. Strong proficiency in programming languages such as Python, Scala, or Java. Extensive experience with data warehousing, ETL processes, and data modeling. Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services. Hands-on experience with big data frameworks like Apache Spark for distributed processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills. Preferred Master's degree in a related field. Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7). Familiarity with machine learning concepts and LLM fine-tuning processes. Experience with data orchestration tools (e.g., Apache Airflow). Work Authorization: Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Benefits Why Join Us? Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: Competitive salary and benefits package. Flexible working arrangements (remote or hybrid options available). The opportunity to work on life-changing AI technology that directly impacts patient outcomes. Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity. Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

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 Lead Data Science Engineer, Personalization, you will play a pivotal role in driving the strategic direction and technical execution of creating data-driven, predictive, and personalized customer experiences. You will lead initiatives and execute alongside a team of talented data scientists and engineers, leveraging your technical expertise and leadership skills to deliver impactful solutions. You'll work across the full stack of machine learning development, including model training, evaluation, deployment, and serving. What You'll Do Lead initiatives related to Casino & Sportsbook Personalization and mentor a team of data scientists and engineers to achieve high-impact business goals. Develop and implement advanced machine learning models and algorithms to solve complex business problems, leveraging techniques such as supervised learning, reinforcement learning, and generative AI. Work with stakeholders to understand business and customer-facing problems and translate these into machine learning problems. Collaborate with cross-functional teams to integrate data science solutions into production systems. Drive the data strategy by identifying key data needs, ensuring data quality, and developing data infrastructure. Communicate findings and recommendations to senior leadership to influence strategic decision-making. What You'll Bring Master's degree or PhD in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science is preferred. At least 5 years of experience in machine learning and statistical modeling, with a proven track record of leading successful projects. Proficiency in programming languages such as Python, and experience with data manipulation and visualization tools. Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery. Familiarity with user behavior analysis and its integration into content and product strategies. Strong leadership skills with the ability to mentor and coach individual contributors. Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders. 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 140,800.00 USD - 176,000.00 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.

Role: Sr. Data Engineer - HR Data & Analytics Key Responsibilities * Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. * Design, build, and maintain Snowflake objects including tables, views, and stored procedures. * Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. * Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. * Manage technical metadata and documentation for data warehousing and migration efforts. * Optimize performance of data transformation pipelines and monitor integration performance. * Design, configure, and optimize integrations between Workday and third-party applications. * Participate in system testing including unit, integration, and regression phases. * Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills * Experience with Snowflake or similar data warehouse platforms * Strong SQL skills and experience with data transformation tools * Experience with ETL processes and data validation techniques * Understanding of HR data structures and relationships * Excellent analytical and problem-solving abilities * Experience with developing with Python * Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization Preferred Experience & Skills * Experience in developing and supporting a data warehouse serving the HR domain * Experience with data platforms where SCD Type 2 was required * Experience with data visualization tools such as Tableau * Experience with architecting or working with ELT technologies (such as DBT) and data architectures * Understanding of HR processes, compliance requirements, and industry best practices