Data engineer jobs in Weymouth Town, MA

Data Engineer (HRIS experience) Boston, MA ( 4 days onsite a week ) Key Responsibilities: Translate business needs into data modelling 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

We are seeking a highly skilled Senior Data Engineer for a client that is based in Boston. Ideal candidates will have Power BI or Tableau Experience SQL experience AWS Cloud experience

Job Title: Junior Data Engineer W2 candidates only We are on the lookout for engineers who are open to upskill to the exciting world of Data Engineering. This opportunity is for our client, a top tier insurance company and includes a 2-3 week online pre-employment training program (15 hours per week), conveniently scheduled after business hours. Participants who successfully complete the program will receive a $500 stipend. This is a fantastic chance to gain in demand skills, hands-on experience, and a pathway into a dynamic tech role.. Key Responsibilities: • Assist in the design and development of big data solutions using technologies such as Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch. • Develop applications primarily in Scala and Python with guidance from senior team members. • Write and optimize SQL queries, preferably with Redshift; experience with Snowflake is a plus. • Work on ETL/ELT processes and frameworks to ensure smooth data integration. • Participate in development tasks, including configuration, writing unit test cases, and testing support. • Help identify and troubleshoot defects and assist in root cause analysis during testing. • Support performance testing and production environment troubleshooting. • Collaborate with the team on best practices, including Git version control and CI/CD deployment processes. • Continuously learn and grow your skills in big data technologies and cloud platforms. Prerequisites: • Recent graduate with a degree in Computer Science, Information Technology, Engineering, or related fields. • Basic experience or coursework in Scala, Python, or other programming languages. • Familiarity with SQL and database concepts. • Understanding of ETL/ELT concepts is preferred. • Exposure to AWS cloud services (Glue, Lambda, SNS/SQS) is a plus but not mandatory. • Strong problem-solving skills and eagerness to learn. • Good communication and teamwork abilities. Selection Process & Training: • Online assessment and technical interview by Quintrix. • Client Interview(s). • 2-3 weeks of pre-employment online instructor-led training. Stipend paid during Training: • $500. Benefits: • 2 weeks of Paid Vacation. • Health Insurance including Vision and Dental. • Employee Assistance Program. • Dependent Care FSA. • Commuter Benefits. • Voluntary Life Insurance. • Relocation Reimbursement. Who is Quintrix? Quintrix is on a mission to help individuals develop their technology talent. We have helped hundreds of candidate's kick start their careers in tech. You will be “paid-to-learn”, qualifying you for a high paying tech job with one of our top employers. To learn more about our candidate experience go to *************************************

We're seeking a Lead Analytics Engineer to help design, model, and scale a modern data environment for a global software organization. This role will play a key part in organizing and maturing that landscape as part of a multi-year strategic roadmap. This position is ideal for a senior-level analytics engineer who can architect data solutions, build robust models, and stay hands-on with development. This is a remote role with occasional onsite meetings. Candidates must currently be local to the Boston area and reside in MA/CT/RI/NH/ME. Long term contract. W2 or c2c. Highlights: Architect and build new data models using dbt and modern modeling techniques. Partner closely with leadership and business teams to translate complex requirements into technical solutions. Drive structure and clarity within a growing analytics ecosystem. Qualifications Bachelor's degree in Economics, Mathematics, Computer Science, or related field. 10+ years of experience in an Analytics Engineering role. Expert in SQL and dbt with demonstrated modeling experience. Data Modeling & Transformation: Design and implement robust, reusable data models within the warehouse. Develop and maintain SQL transformations in dbt. Data Pipeline & Orchestration: Build and maintain reliable data pipelines in collaboration with data engineering. Utilize orchestration tools (Airflow) to manage and monitor workflows. Manage and support dbt environments and transformations. Hands-on experience with BigQuery or other cloud data warehouses. Proficiency in Python and Docker. Experience with Airflow (Composer), Git, and CI/CD pipelines. Strong attention to detail and communication skills; able to interact with both technical and business stakeholders. Technical Requirements: Primary Data Warehouse: BigQuery (mandatory) Nice to Have: Snowflake, Redshift Orchestration: Airflow (GCP Composer) Languages: Expert-level SQL / dbt; strong Python required Other Tools: GCP or AWS, Fivetran, Apache Beam, Looker or Preset, Docker Modeling Techniques: Vault 2.0, 3NF, Dimensional Modeling, etc. Version Control: Git / CI-CD Quality Tools: dbt-Elementary, dbt-Osmosis, or Great Expectations preferred

Role: Data Science Engineer Note: In-person interview required This is a 12+ month, ongoing contract with our insurance client in Boston, MA 4x hybrid per week with a mandatory final onsite interview. We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L). Overview: As a Data Science Engineer, you will play a crucial role in designing, building, and optimizing data pipelines, machine learning models, and analytics solutions. You will work closely with cross-functional teams to extract actionable insights from data and drive business outcomes. Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources. Utilize Python and Spark for data preprocessing, feature engineering, and model development. Design and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data. Leverage SageMaker for model training, evaluation, deployment, and monitoring in production environments. Collaborate with data scientists, analysts, and business stakeholders to understand requirements, develop predictive models, and generate actionable insights. Conduct exploratory data analysis (EDA) and data visualization to communicate findings and trends effectively. Stay updated with advancements in machine learning algorithms, techniques, and best practices to enhance model performance and accuracy. Ensure data quality, integrity, and security throughout the data lifecycle by implementing robust data governance and compliance measures. Requirements added by the job poster • 4+ years of work experience with Amazon Web Services (AWS) • 2+ years of work experience with Machine Learning • Accept a background check • 3+ years of work experience with Python (Programming Language) • Working in a hybrid setting

Hi, this is Eric 👋 We're hiring a stellar Data Engineer to join our engineering org at Basil Systems. At Basil Systems, we're revolutionizing healthcare data access and insights for the life sciences industry. We've built powerful platforms that help pharmaceutical and medical device companies navigate complex regulatory landscapes, accelerate product development, and ultimately bring life-saving innovations to market faster. Our SaaS platforms transform disconnected data sources into actionable intelligence, empowering organizations to make data-driven decisions that improve patient outcomes and save lives. The Role We are seeking a Senior Data Engineer to own and advance the data infrastructure that powers our healthcare insights platform. As our engineering team scales and we expand our data capabilities, we need someone who can build reliable, scalable pipelines while ensuring data quality across increasingly complex regulatory sources. Key Responsibilities Design, build, and maintain robust ETL processes for healthcare regulatory data Integrate new data sources as we onboard customers and expand platform capabilities Optimize pipeline performance and reliability Ensure data accuracy and consistency across complex transformation workflows Qualifications 5+ years of professional experience as a data engineer or in a similar role Experience with Apache Spark and distributed computing Familiarity with common ML algorithms and their applications Knowledge of or willingness to learn and work with Generative AI technologies Experience with developing for distributed cloud platforms Experience with MongoDB / ElasticSearch and technologies like BigQuery Strong commitment to engineering best practices Nice-to-Haves Solid understanding of modern security practices, especially in healthcare data contexts Subject matter expertise in LifeSciences / Pharma / MedTech This role might not be for you if... You're a heavy process advocate and want enterprise-grade Scrum or rigid methodologies You have a need for perfect clarity before taking action You have a big company mindset What We Offer Competitive salary Health and vision benefits Attractive equity package Flexible work environment (remote-friendly) Opportunity to work on impactful projects that are helping bring life-saving medical products to market Be part of a mission-driven team solving real healthcare challenges at a critical scaling point Our Culture At Basil Systems, we value flexibility and support a distributed team. We actively employ and support remote team members across different geographies, allowing you to work when, where, and how you work best. We are committed to building a diverse, inclusive, and safe work environment for everyone. Our team is passionate about using technology to make a meaningful difference in healthcare. How to Apply If you're excited about this opportunity and believe you'd be a great fit for our team, please send your resume and a brief introduction to *****************************. Basil Systems is an equal opportunity employer. We welcome applicants of all backgrounds and experiences.

This role is with a Maris Financial Services Partner Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week. 12 Month + contract (or contract to hire, if desired) This team oversees critical systems including Snowflake, Tableau, and RDBMS technologies like SQL Server and Postgres. This role will focus on automating database deployments and creating efficient patterns and practices that enhance our data processing capabilities. Key Responsibilities: Design, enhance, and manage DataOps tools and services to support cloud initiatives. Develop and maintain scheduled workflows using Airflow. Create containerized applications for deployment with ECS, Fargate, and EKS. Build data pipelines to extract, transform, and load (ETL) data from various sources into Apache Kafka, ultimately feeding into Snowflake. Provide consultation for infrastructure projects to ensure alignment with technical architecture and end-user needs. Qualifications: Familiarity with Continuous Integration and Continuous Deployment (CI/CD) practices and tools. Understanding of application stack architectures (e.g., microservices), PaaS development, and AWS environments. Proficiency in scripting languages such as Bash. Experience with Python, Go, or C#. Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools, such as CloudFormation. Preferred experience with Apache Kafka and Flink. Proven experience working with Kubernetes. Strong knowledge of Linux and Docker environments. Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to manage multiple tasks and projects concurrently. Expertise with SQL Server, Postgres, and Snowflake. In-depth experience with ETL/ELT processes.

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

Hi There, I am Mahmood Bafana - Senior Talent Acquisition Specialist with Technogenic, we are looking to hire a Talented Professional with below skill set to work with one of our clients and came across your profile and wondering if you might interested or exploring the job market, if so, Please share me your resume at ************************* Position: Workday Data Architect Location: Boston, MA (Hybrid) Duration: Contract POSITION OVERVIEW : 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. Minimum Skills Required: At least 12 years Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. At least 10 years Proficiency with data visualization tools such as Tableau or Power BI. At least 15 years Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). At least 10 years Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. At least 10 years Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams Experience building and supporting data warehouses specifically for HR and People Analytics domains. Strong experience in Data Architecture, SQL and Python Best Regards,

Job Title: Sr. Data Architect- HR Data & Analytics Duration: 6 - 12+ Months Notes : Snowflake,ETL/ELT, HRIS, SQL, Python. The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support 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. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams.

Job Title: Sr. Data Architect - HR Data & Analytics (Need the Architect level) 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. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams.

Job Title: ETL Data Engineer with SpringBatch Experience - W2 only - We can provide sponsorship Duration: Long Term MUST HAVES: Strong SQL for querying and data validation Oracle AWS ETL experience with Java SpringBatch (for the ETL data transformation). Note: the ETL work is done in Java (so Python is only a nice to have). The Expertise and Skills You Bring Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience 4+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is a must 2+ years of experience developing applications that run in AWS, with focus on AWS Batch, S3, IAM 3+ years working with SQL (ANSI SQL, Oracle, Snowflake) 2+ years of Python development Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M) Strong data modeling skills with experience working with 3NF and Star Schema data models Proven data analysis skills; not afraid to work in a complex data ecosystem Hands-on experience on SQL query optimization and tuning to improve performance is desirable Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation) Experience in Agile methodologies (Kanban and SCRUM) Experience building and deploying containerized applications using Docker Work experience in the financial services industry is a plus Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner Good interpersonal skills to work with multiple teams within the business unit and across the organization

JOB MISSION: New Balance is seeking a forward-thinking Senior SDET with a developer's mindset and a passion for AI to lead the next evolution of our global eCommerce test automation platform. This is a unique opportunity for someone who thrives on staying ahead of AI trends and is eager to apply them to modern software quality engineering. You'll drive the transformation of our Selenium and BDD-based test stack into a cutting-edge, AI-augmented platform that supports everything from unit testing to full user journey validation. If you're a builder at heart-excited by the challenge of creating scalable, self-healing, and autonomous testing systems that empower both engineers and developers-this role is for you. MAJOR ACCOUNTABILITIES: Lead the architectural redesign of our test automation platform, transitioning from a legacy Selenium/C# and BDD stack to a modern, intelligent framework. Design, build, and maintain AI-driven test automation platforms that enable reliable, scalable tests across the entire testing pyramid-from unit and integration to full end-to-end user journeys. Implement AI-augmented testing strategies to support autonomous test creation, maintenance, and healing. Integrate visual validation tools such as Applitools Eyes into the automation pipeline. Collaborate cross-functionally with developers, QA engineers, and DevOps to ensure test coverage, reliability, and scalability across global eCommerce sites. Evaluate and integrate open-source and commercial tools that enhance test intelligence, observability, and maintainability. Advocate for testability by partnering with developers and architects to influence solution design. Mentor and guide other SDETs and QA engineers in modern test automation practices and AI-driven testing approaches. Continuously research and prototype emerging AI technologies in the testing space to keep the platform at the forefront of innovation. REQUIREMENTS FOR SUCCESS: 5+ years of experience in test automation, with deep expertise in Selenium and C#. Strong understanding of BDD frameworks (e.g., SpecFlow, Cucumber) and test design principles. Hands-on experience with Selenium extensions such as Healenium, Selenide, or Selenium Grid, with a focus on improving test resilience, scalability, and maintainability. Proven ability to implement self-healing test mechanisms and intelligent locator strategies to reduce flakiness and maintenance overhead. Familiarity with AI-augmented testing strategies (e.g., intelligent test generation, adaptive test execution). Experience integrating Selenium-based frameworks into modern CI/CD pipelines (e.g., Azure DevOps, Jenkins), with AI-driven diagnostics or analytics. Proficiency with visual testing tools like Applitools Eyes. Experience with modern automation frameworks such as TestRigor, Playwright, or Cypress. Exposure to machine learning or NLP concepts applied to software testing. Contributions to open-source testing tools or frameworks. Strong problem-solving, communication, and mentoring skills.

first PRO is now accepting resumes for a Scada Engineer role in Westborough, MA. This is a 12+month contract and onsite 2 days per week. Typical task breakdown: o Manage, maintain and enhance SCADA system software and field RTU software. o Analyze, research, develop, maintain and implement enhancements to SCADA. o Defines and maintains supervisory control and data acquisition (SCADA) data and definitions, Aveva Enterprise 2023. o Develop SCADA operational pages, create system reports and maintain historical and real-time databases. o Program and implement the installation of all new and upgraded field RTUs and telecommunications. Education & Experience Required: Bachelor of Science Degree in Electrical and/or Computer Engineering. o Minimum of five to eight (5-8) years related experience. Technical Skills o Requires proficiency in Accol Workbench Open BSI, Modbus, BSAP, OPC, SQL Server, TCP-IP, Microsoft Access and Office. Proficiency in Aveva Enterprise SCADA 2023 and ControlWave Designer preferred. An understanding of gas distribution system operations and telecommunications such as serial, Ethernet and wireless preferred

Work schedule: Hybrid Key Responsibilities: Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management. User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies. Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction. Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization. Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage. Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment. Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance. Qualifications and Experience: 5+ years of experience in data architecture, data engineering, or database development. 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security. At a minimum Bachelor's degree in Computer Science, Information Technology, or related field. Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred). Experience or exposure to AI tools. Deep understanding of data warehousing concepts, dimensional modeling, and analytics. Excellent problem-solving and communication skills. Experience integrating Snowflake with BI and reporting tools is a plus Required Skills: Strong proficiency in Snowflake architecture, features, and capabilities. Knowledge of SQL and Snowflake-specific query optimization. Experience with ETL tools and data integration processes. Strong proficiency in SQL and Python. Strong Database design and data modelling experience. Experience with data modeling tools. Ability to identify and drive continuous improvements. Strong problem solving and analytical skills. Demonstrated process-oriented and strategic thinking skills. Strong motivation and a desire to continuously learn and grow. Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc. Experience working in AWS cloud environments. Experience working with Power BI and other BI, data visualization, and reporting tools. Business requirement gathering and aligning to solutions delivery. Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies. Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus. Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus. Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail. Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders. Teamwork: Ability to work independently and collaboratively in a fast-paced environment. Preferred Skills: Snowflake certification (e.g., SnowPro Core or Advanced Certification).

📣 Platform Engineer - Travel SaaS A fast-scaling SaaS company in the travel tech space is hiring a Platform Engineer to help build and scale their global infrastructure. This is a high-impact role in a product-led, engineering-driven environment. The company operates a modern, multi-service architecture on AWS and needs someone who can take ownership of platform reliability, CI/CD tooling, and infrastructure as code. 💻 The role: Design, build and maintain secure, scalable AWS infrastructure (EC2, S3, RDS, IAM, etc.) Champion Infrastructure as Code using Terraform or Pulumi Manage containerised deployments with Docker and ECS or Kubernetes Improve and maintain CI/CD pipelines (GitHub Actions, CircleCI, etc.) Collaborate closely with engineering, SRE and security teams Take part in on-call and incident response as part of a “you build it, you run it” culture 🧠 What they're looking for: 3+ years' hands-on experience with AWS Strong background in infrastructure as code Solid understanding of containerisation and orchestration Comfortable with scripting (Python, Go or Bash) Experience with observability tools (Datadog, CloudWatch, etc.) Excellent debugging and troubleshooting skills 🎁 Nice-to-haves: Exposure to Windows/.NET, serverless architectures or compliance frameworks (e.g. SOC2) 🌍 Why join: Compensation: $130-150K base + equity Culture: Low-ego, high-ownership team with a strong engineering voice Hybrid setup: ~3 days per week in office in Boston Mission: Helping businesses travel smarter - at global scale

Join our Mapping & Ablation System Software Team and help shape the next generation of cardiac electrophysiology technology. This system enables physicians to visualize the heart's electrical activity in real time and deliver targeted ablation therapy for patients with arrhythmias. You'll advance the software that makes this life-changing technology usable, responsive, and clinically impactful. As a Principal Desktop UI Engineer, you'll design and build intuitive, high-performance user interfaces that power advanced real-time visualization tools used by clinicians treating cardiac arrhythmias. What we offer you in USA We honor the contract terms you prefer. 20 paid vacation days per year 40 working hours per week Retirement Plan 401(K) Medical, Dental, Vision Insurance Plan for you and your Family 100% On-Site position in Newton What You'll Do Lead the design and development of desktop UI features using Qt/QML, Python, and C++ in a Linux environment. Build fast, data-rich, real-time interfaces for complex clinical workflows. Partner with UI/UX designers, hardware engineers, and clinical teams to translate requirements into polished user experiences. Own major software components from architecture through implementation, testing, and deployment. Mentor junior engineers and champion modern engineering practices. Support pre-clinical evaluations and system demos for internal and clinical stakeholders. Responsibilities Required Bachelor's degree + 7 years experience, or Master's degree + 5 years, or PhD + 3 years. Strong background building high-performance UI applications. Preferred Expertise in Python and C++; experience with ROS or device-level communication is a plus. Deep experience with Qt/QML or similar UI frameworks (PyQt, OpenGL, Unity, GTK, WPF). Proven ability to develop real-time or data-intensive applications. Strong grasp of software architecture, design patterns, and modern development practices. Experience collaborating with UI designers and implementing designs from tools like Figma. Familiarity with Agile, Git, CI/CD, and cloud platforms (AWS/Azure). Experience in regulated environments (medical devices strongly preferred). Excellent communication, problem-solving skills, and team collaboration abilities.

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

💻 Software Engineer | Scalable Systems | Onsite (Cambridge, MA) A rapidly growing tech startup is building AI-driven, high-performance systems designed to solve complex, real-world challenges. The team blends software engineering and systems optimization to create scalable, reliable technology that supports next-generation applications. As a Software Engineer, you'll play a key role in designing and building scalable front-end and back-end systems in TypeScript, collaborating with talented engineers to deliver secure and efficient solutions that perform at scale. Tech: TypeScript, React, and Node.js If you enjoy building scalable systems that drive innovation and want to make a visible impact in a fast-moving startup, this could be the perfect fit. 📍 Location: Cambridge, MA (onsite) 💰 Up to $300,000 (dependant on exp.) + equity options Interested? Apply now!