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Job DescriptionDescription: We’re seeking an AI/ML Engineer with strong machine learning and Business Intelligence (BI) capabilities to accelerate data-driven decision making across our Fiber-to-the-Premises (FTTP) business. This role blends model development, analytics, and data storytelling to improve customer experience, network performance, and operational efficiency. What You’ll Do • Build, train, fine-tune, and deploy ML models for churn prediction, demand forecasting, network optimization, and service-risk scoring., • Perform model validation, feature engineering, and performance monitoring to ensure accuracy and scalability., • Develop scalable data pipelines and collaborate with data engineering to maintain data quality across BSS/OSS systems., • Analyze FTTP data across construction, activation, utilization, service quality, and support processes., • Design BI dashboards and reports that track critical KPIs for network, operations, CX, and finance using Tableau, Power BI, Looker, or open-source equivalents., • Present insights through clear, structured data storytelling for technical and business stakeholders., • Maintain documentation, code quality, and best practices in ML Ops, CI/CD, and version control workflows. What You Bring • Master’s degree (or equivalent experience) in Computer Science or related field, with 4+ years of progressive, hands-on experience., • Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, MLflow); R is a plus., • Solid ML fundamentals including regression, classification, clustering, and time-series forecasting., • Advanced SQL skills and experience working with large, complex datasets., • Hands-on BI experience with modern visualization tools and strong data storytelling ability., • Experience with AWS., • Comfortable working in a dynamic, fast-paced start-up culture., • Familiarity with LLMs and generative AI concepts., • Knowledge of FTTP/telecom datasets (ONT/OLT telemetry, provisioning, work orders, inventory, Fieldops) is a plus., • Proficiency with Git, CI/CD pipelines, and ML Ops practices. Nice to Have • Exposure to network performance analytics, geospatial (GIS) data, or streaming data pipelines., • Knowledge of Precisely, Sitetracker, FCC(BDC) data sets., • Experience with modern data warehouse environments (BigQuery, Snowflake, or open-source equivalents like ClickHouse, Trino, Iceberg).

Job DescriptionAbout Amigo Amigo builds AI agents for healthcare. For managed service customers, we are responsible for maintaining and uplifting agent performance, ensuring clinical safety and continuous improvement of patient outcomes. Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations. Infrastructure owns the foundation: multi-region Kubernetes deployments, Databricks platform, voice/telephony systems, and the compliance posture required for healthcare (HIPAA, SOC 2). The work includes reliability engineering, security, and ensuring the platform scales without compromising safety. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Staff Software Engineer (Infra) at Amigo, you'll own the technical direction of the infrastructure that powers our platform at global scale. You'll architect multi-region systems handling millions of conversations while maintaining the compliance posture required for healthcare. You'll drive architecture decisions for Kubernetes deployments, Databricks platform, voice/telephony systems, and security infrastructure. You'll mentor engineers, shape technical culture, and ensure we maintain elite engineering standards as the team grows. Reliability and security are non-negotiable—the platform must scale without compromising safety. What you'll do * Own technical architecture for infrastructure across cloud platforms, Kubernetes, Databricks, and supporting systems * Drive engineering standards for reliability, security, observability, and incident response * Architect multi-region deployment strategies with zero-downtime updates for critical systems * Design the compliance & security infrastructure for healthcare (HIPAA, SOC 2) and support future regulatory requirements * Own disaster recovery architecture and backup systems meeting healthcare compliance requirements * Make build vs. buy decisions for infrastructure tooling and evaluate technical tradeoffs * Design auto-scaling systems that handle traffic spikes while maintaining cost efficiency * Own infrastructure as code of our infrastructure, ensuring clearly documented and identical deployments across regions * Mentor engineers and establish patterns that raise the bar for the infrastructure team * Collaborate with backend, platform, and security teams to ensure system-wide coherence * Define reliability targets (SLOs/SLIs) and drive operational excellence across the platform What we're looking for * 7+ years of production infrastructure experience, with significant time at elite engineering organizations * Expert-level experience with Kubernetes and container orchestration at scale * Proven track record designing infrastructure that scales across multiple regions * Deep experience with cloud platforms (AWS, GCP, or Azure) * Strong understanding of infrastructure-level networking and security configurations * History of establishing engineering standards and mentoring engineers * Extremely high standards for reliability, security, and operational excellence * Both execution-oriented and defensive-minded: you ship infrastructure while anticipating failure modes * Deep knowledge of infrastructure as code tools (Terraform, Pulumi, or similar) * Experience with compliance requirements and data residency controls in regulated industries * Excellent written and verbal communication across engineering and executive stakeholders Nice to have * Experience with healthcare infrastructure or HIPAA compliance at scale * Background with voice/telephony systems or real-time communication infrastructure * Experience with Databricks platform administration and optimization * Track record building and scaling infrastructure teams * Knowledge of specific regulatory frameworks (HIPAA, SOC 2, GDPR) * Experience with high-availability, mission-critical systems Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $220K - $260K

Job Description ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. Salary Range $150,000 - $180,000 USD

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSalary: Senior Elixir Engineer at Vic.ai Remote Location: Remote This is a fully remote position, full-time, with flexible working hours and work arrangements. About Vic.ai Vic.aiis creating the Intelligent Accounting era, using artificial intelligence to automate accounting and provide advisory, business insight, and eventually businessforesight. Were a Series A stage start-up, founded by three Norwegian entrepreneurs and backed by renowned Silicon Valley investors (including Costanoa Ventures, Cowboy Ventures, and GGV Capital). Were US-based, but our team is global, from New Zealand to California. Were bringing AI to Finance and Accounting because the industry is ripe for automation and big-data insight and the market ishuge: $200B just in the US. Our main office locations is in New York. We have a well established remote-work culture, and over 50% of our team are working fully remote. We have a solid team of very experienced, yet humble, Elixir engineers, will you be our next team member? About you Youve been a software engineer for 5+ years, but youve been a tinkerer and a builder your whole life. Were a team of builderswhen we arent building Vic.ai, were tinkering with a personal project, contributing to open source, modding a drone, building a computer from components, etc. Were looking for an experienced developer who enjoys working with server-side technologies. You possess a good mixture of DevOps and application development skills and would like to build innovative solutions with experienced teammates in a flexible environment. You should have plenty of experience in building performant, easy to use, well-monitored, and well tested APIs, designing efficient data flows, communicating clearly, sharing knowledge, and questioning existing solutions. Youre ready for the next step in your career, ready to take on fast-moving challenges. Youre enthusiastic about AI and the possibilities it opens for software development and transforming traditional work. You aim at reaching greatness and delivering exceptional outcomes in your work. As a team player, you are not afraid of reaching out to your colleagues to discuss development challenges, especially when you are stuck trying to solve a specific issue. You are fluent in English. Job Requirements • Advanced Elixir programming experience is a must, • Solid understanding of working in Linux shells, • Ability to spin up servers, setting them up and make them available for application deploys, • Having great understanding of the value of automated tests, and ability to implement them across the whole stack, • Designing efficient deploy flows and continuous integration, • Solid knowledge of key-value stores, SQL, and relational databases; preferably PostgreSQL, • Ability to implement and maintain robust concurrent background job systems, having a grasp of concurrency patterns and message queues, • Fluent English, spoken and written, clear and effective daily communication with the team What youll do • Build and deploy high-uptime products and infrastructure as part of the Vic.ai platform, • Integrate Elixir systems with non-uptime-critical systems in Python, • Design and establish validation, testing, correctness, and resilience best practices across teams, • Ship products and services as part of a small, collaborative team, • Help establish engineering process, tools, and systems that will allow us to scale the code base, productivity, and the team Who we're looking for: • BS (or higher) in Computer Science or a related technical field, or equivalent technical experience, • 5+ years of relevant work experience, • Professional experience with Elixir programming language, • Track record of shipping high-quality products and features, • Ability to turn business needs into engineering solutions As an early employee, you'll be working with a small team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We Offer We're not just fully remote, we also offer Competitive salary Generous vacation time, family and travel-friendly environment Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment Above all, you should enjoy the journey. Our engineers are creative, technical, smart, and genuinely like each other. They enjoy the work they do, and so should you!

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job DescriptionDescription: Tillman Fiber Holdings is seeking a Senior Solutions Engineer to lead the continued development, optimization, and administration of our Sitetracker (Salesforce) platform within the Business Systems team. This hybrid role combines Salesforce administration and development responsibilities. The Senior Solutions Engineer will serve as a critical bridge between technical execution and business strategy across our engineering, construction, and finance functions. The ideal candidate is a hands-on builder and problem solver who thrives in a fast-paced, startup-style environment where architecture, scalability, and initiative are key. This individual will play a central role in designing, implementing, and maintaining scalable business solutions while collaborating closely with internal stakeholders and external vendor partners. Key Responsibilities: Platform Leadership • Own and evolve the Sitetracker (Salesforce) platform architecture to ensure stability, scalability, and alignment with business objectives., • Lead administration, configuration, and low-code development (Flows, validation rules, permissions, record automation)., • Partner with business owners and department leads to gather, document, and refine system requirements., • Translate business needs into functional and technical solutions with clear documentation and communication., • Manage technical backlog and work prioritization in coordination with leadership and other system admins., • Participate in sprint planning and oversee Jira task tracking for system enhancements and issue resolution., • Maintain and troubleshoot integrations between Sitetracker, NetSuite, and other enterprise systems., • Design data models and flows that support complex operational reporting needs., • Train and support end users, power users, and external vendors on platform functionality and best practices., • Develop and maintain technical documentation, process guides, and release notes. Required • 4–8 years of experience in Salesforce platform administration and/or development (Sitetracker experience strongly preferred)., • Strong understanding of Salesforce configuration, security model, data architecture, and automation tools., • Proven success in gathering and translating business requirements into scalable, maintainable solutions., • Hands-on experience with integrations (REST/SOAP APIs, middleware, ETL processes, or similar)., • Demonstrated ability to lead projects in fast-moving, ambiguous environments., • Exceptional analytical and critical-thinking skills., • Excellent communication skills with both technical and non-technical audiences., • Experience in telecom or fiber infrastructure industries., • Experience leading administration and development efforts within Sitetracker., • Familiarity with agile methodology and tools such as Jira and Confluence., • Exposure to NetSuite or other ERP integrations., • Salesforce certifications (Admin, Advanced Admin, Platform App Builder, or Developer) strongly preferred., • Improved system reliability and user satisfaction across departments., • Delivered automation and reporting solutions that enhance operational efficiency., • Successful completion of at least one cross-system integration or architectural improvement., • Documented platform standards and governance processes for the Business Systems team., • Established trust with department heads and vendor partners as the go-to technical leader for Sitetracker. #LI-LV1 Requirements:

Job DescriptionAbout Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations. We own the data foundation end-to-end: patient interactions, agent reasoning traces, outcome data, and synthetic data with known fidelity. This enables population-level analytics and continuous improvement. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Staff Software Engineer (Data) at Amigo, you'll own the technical direction of our data platform—a strategic differentiator that powers agent improvement, clinical analytics, and research collaboration. You'll architect streaming and batch infrastructure on Databricks that processes agent conversations, clinical events, and patient outcomes at scale. We own the entire data foundation: raw interaction data, agent reasoning traces, clinical outcomes, and high-fidelity synthetic data. You'll drive architecture decisions for population analysis, data mining pipelines, the Research Platform backend, and secure data sharing with academic partners. What you'll do * Own technical architecture for the data platform across Databricks, Delta Lake, and supporting infrastructure * Drive engineering standards for pipeline reliability, data quality, and observability * Architect streaming and CDC pipelines that power real-time analytics and agent feedback loops * Design the data backend architecture for Research Platform, including natural language query capabilities * Architect data mining systems for persona discovery, scenario extraction, and edge case detection * Design anonymization and data sharing infrastructure for research partnerships with academic medical institutions * Own multi-region data architecture and compliance requirements * Make build vs. buy decisions for data tooling and evaluate technical tradeoffs * Mentor engineers and establish patterns that raise the bar for the data team * Collaborate with data scientists, agent engineers, and clinical operations to align data capabilities with business needs What we're looking for * 7+ years of production data engineering experience, with significant time at high-caliber engineering organizations * Expert-level experience with Databricks, Spark, and Delta Lake at scale * Strong Python and SQL skills with deep understanding of distributed data systems * Proven track record designing data architectures that scale * Deep experience with streaming systems, CDC patterns, and real-time data processing * Strong understanding of data modeling, medallion architecture, and query optimization * History of establishing engineering standards and mentoring engineers * Extremely high standards for data quality, reliability, and operational excellence * Both execution-oriented and defensive-minded: you ship infrastructure while anticipating failure modes * Excellent communication across engineering, data science, and executive stakeholders Nice to have * Experience with healthcare data platforms or HIPAA compliance at scale * Background architecting multi-tenant data systems with strict isolation requirements * Experience building natural language query interfaces or LLM-powered data tools * Track record with ML infrastructure (feature stores, training pipelines, model serving) * Experience with Delta Sharing or cross-organization data collaboration * Knowledge of vector search systems and embedding infrastructure at scale Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $220K - $260K

Job Description SR ASSOCIATE – ANALYTICS ENGINEER, CLIENT INTELLIGENCE BBR Partners is a boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. Our clients are comprised of the brightest minds in the financial and investing worlds, entrepreneurs, business owners, leaders, and influential families who entrust us with the holistic care of their fiscal well-being. The firm was founded in early 2000 and for over 25 years has nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent, but world class humans! POSITION OVERVIEW BBR Partners is seeking an Analytics Engineer to join our Client Intelligence team. This role will design and build scalable data infrastructure that powers client reporting and analytics for our Advisory business. You'll work at the intersection of data engineering and business requirements, building pipelines, APIs, and automation that deliver sophisticated client insights at scale. Reporting to our Head of Client Intelligence, you'll collaborate closely with our Data Engineering and Software Development teams to leverage shared platform capabilities while owning the technical solutions specific to client deliverables. This is a high-impact role with direct visibility into the ways we serve our clients. RESPONSIBILITIES Analytics Engineering • Design and build data pipelines using Airflow and dbt to automate client reporting processes, • Develop API wrappers and services for client-specific data access and configuration management, • Build and maintain derived datasets, metrics, and aggregations for client portfolio analytics, • Collaborate with our core Data team to consume canonical APIs and datasets from various Cloud platforms, • Implement data quality checks and validation frameworks for client-facing deliverables, • Partner with our Software Development team to build highly tailored applications to drive analytics, • Translate Advisory team requirements into technical specifications and scalable solutions, • Design allocation and mapping frameworks that allow for top-level and drill-down analysis across custom domains., • Develop client-facing metrics and analytics using Python and Jupyter notebooks, • Support ad-hoc analysis requests from Advisory team when needed, • Integrate with third-party SaaS platforms (including Seismic) to deliver client materials, • Establish patterns and best practices for maintainable, scalable client reporting solutions Technical Skills • 3-5+ years of experience building production data pipelines and automation, • Strong proficiency in Python for data engineering and analysis, • Experience with modern orchestration frameworks (Airflow strongly preferred), • Advanced SQL skills and experience with data transformation tools (dbt strongly preferred), • Familiarity consuming data via API (REST) endpoints, • Familiarity with cloud data warehouses (Snowflake preferred), • Experience integrating with or configuring enterprise SaaS platforms, • Background in financial services, wealth management, or client-facing analytics, • Experience with BI/visualization platforms (Power-BI, Tableau), • Opportunity to collaborate with accomplished colleagues in an entrepreneurial and fast-paced environment., • Competitive base salary and incentive compensation., • Company subsidized health, dental and vision insurance for employee, partner, and dependents., • 401K plan, Life insurance, and short & long-term disability coverage., • One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings., • Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care., • Personalized development and career opportunities., • Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure., • Hybrid remote work environment, "Work from Anywhere" weeks, and casual dress.

Job DescriptionAbout Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations. We own the data foundation end-to-end: patient interactions, agent reasoning traces, outcome data, and synthetic data with known fidelity. This enables population-level analytics and continuous improvement. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Senior Software Engineer (Data) at Amigo, you'll build the data infrastructure that powers agent improvement, clinical analytics, and research collaboration. You'll own streaming and batch pipelines on Databricks that process agent conversations, clinical events, and patient outcomes at scale. Our data platform is a strategic differentiator. We own the entire data foundation—from raw interaction data to agent reasoning traces to clinical outcomes. You'll build pipelines that enable population analysis, data mining, and the Research Platform backend. What you'll do * Build and maintain streaming and batch pipelines on Databricks (Delta Lake, Spark) * Design CDC pipelines that sync operational databases to Delta Lake for analytics * Implement data mining pipelines for persona discovery, scenario extraction, and edge case detection * Build the data backend for Research Platform, including natural language to SQL capabilities * Create data quality monitoring, staleness detection, and automated alerting * Build pipelines for voice and SMS analytics (call quality, engagement metrics) * Support multi-region data deployment and compliance requirements * Collaborate with agent engineers and data scientists to surface insights that improve agent performance What we're looking for * 4+ years of production data engineering experience * Strong experience with Databricks, Spark, and Delta Lake * Proficiency in Python and SQL for pipeline development * Experience building streaming pipelines and CDC (change data capture) systems * Understanding of data modeling, medallion architecture (bronze/silver/gold), and query optimization * Experience with data quality frameworks and monitoring * Track record of building reliable, production-grade data infrastructure * Both execution-oriented and defensive-minded: you ship pipelines while anticipating failure modes * Strong debugging skills for distributed data systems * Clear communication with data scientists, backend engineers, and product teams Nice to have * Experience with healthcare data or HIPAA compliance requirements * Background with ML pipelines (feature engineering, model training infrastructure) * Experience building natural language query interfaces or LLM-powered data tools * Familiarity with vector search and embedding pipelines * Experience with Delta Sharing or data collaboration protocols Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $180K - $220K

Job DescriptionOXMAN OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Research Engineer with expertise in Deep Reinforcement Learning, Deep Generative Modeling, and Data-Driven Design Optimization to join our interdisciplinary team. Leveraging advanced computational techniques, you will develop innovative design methods that support and enhance ecological processes, bridging human-made and natural environments.In this role, you will explore the intersection of generative design methods and data-driven optimization strategies. Your primary objective will be creating approaches that integrate generative design, ecosystem simulation, and optimization techniques to enhance ecosystem services benefiting both humans and natural biodiversity. You will develop and test generative models and procedural techniques for designing environments, behaviors, and scenarios. These designs will be evaluated and refined through data-driven optimization and reinforcement learning methods, aiming to maximize positive ecological outcomes, such as biodiversity and resilience. Please provide cover letter and portfolio if available. Responsibilities • Develop and refine advanced deep generative models and reinforcement learning algorithms to generate, explore, and optimize built-environment design strategies aimed at enhancing ecosystem services., • Create decision-making frameworks that combine procedural generation with machine learning and data-driven optimization, improving interactions between built and natural environments., • Investigate and implement interfaces between procedural generation techniques, machine learning approaches, and deep generative modeling., • Collaborate with computational ecologists to integrate generative design frameworks with ecosystem simulation models, producing architectural and infrastructural designs that interact positively with natural environments., • Apply optimization and reinforcement learning techniques to align generative design outputs with ecological performance indicators, such as species richness, carbon sequestration, and water management., • Collaborate with data scientists and ecologists to incorporate extensive, diverse datasets (remote sensing, climate data, biodiversity records) into generative and optimization methodologies., • Contribute to model validation by comparing simulated results to empirical ecological data, ensuring accuracy and reliability., • Prepare detailed technical documentation of methods, assumptions, and implementations to support reproducibility and knowledge sharing.Qualifications, • Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields., • Proven experience developing and deploying deep generative models, reinforcement learning algorithms, and data-driven optimization methods in practical design problems., • Strong knowledge in mathematical modeling, probabilistic methods, simulation techniques, procedural modeling, and complex systems., • Proficiency in handling and analyzing large, heterogeneous datasets (environmental, climate, remote sensing) using Python, C++, or similar languages., • Experience with GIS tools and remote sensing technologies for geospatial analysis., • Demonstrated ability to work in cross-functional teams, bridging machine learning research with ecology, architecture, engineering, and design., • Enthusiasm for pushing boundaries in design and science; ability to merge rigorous computational methods with innovative thinking.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. TTC*: $185k - $243k *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionWelcome to Fi. We’re a passionate team from Square, Google, TikTok, Peloton, Uber, and more working to transform the human-pet relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to be a pet parent. The pet industry remains firmly stuck in the past and we are here to change that. Fi is leveraging our team's talent and expertise to improve the lives of millions of pets in the U.S. Real-time location tracking, activity, sleep and behavior monitoring – and that's just the beginning. The most exciting aspect of our work? Bridging the communication gap between pets and humans. Imagine a world where everyone knows how their pet feels in real time and how to keep their best friend in good shape. That's the future we're building at Fi. If you're someone who thrives in innovative, collaborative work environments and feels strongly about helping pets live longer, better lives, Fi could be the perfect fit. Join us in our pursuit of the “impossible,” or as we call it here “let me find a way,” to redefine the future of pet ownership together. Fi is looking for a Staff Electrical Engineer! Do you dream of designing hardware that solves real-world problems and improves lives—both human and pets? As our Staff Electrical Engineer, you’ll lead the charge in designing and building the electronics that power Fi’s groundbreaking products. This is your chance to push the boundaries of innovation, tackle complex technical challenges, and make an impact at a fast-growing hardware startup.What You’ll Do: • Lead the design: Own the end-to-end electronics design for Fi products, from proof-of-concept to mass production., • Innovate and optimize: Contribute to system architecture, schematic capture, PCB layout, and component selection to ensure performance, reliability, and manufacturability., • A seat at the table: Work closely with leadership, firmware, mechanical, and overseas engineering teams to drive board bring-up, validation, and safety testing, ensuring seamless integration and reliability., • Push boundaries: Optimize system architecture and power management strategies for ultra-low-power performance—because every microamp matters., • Scale production: Work closely with overseas CM/JDM partners to drive efficient design, testing, and manufacturing processes.What You'll Bring:, • Experience: 8+ years in high-volume consumer electronics design., • Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field., • Expertise in circuit design: Low-power systems, lithium-ion battery-powered devices, RF systems (Wi-Fi, LTE, GNSS, and antenna design), sensing technologies, and digital communication buses., • Technical skills: Proficiency in schematic capture and PCB layout (Altium preferred), advanced lab skills with tools like DMMs, oscilloscopes, spectrum analyzers, and logic analyzers, and the ability to solder SMD components down to 0201 level under a microscope., • Collaborative mindset: Strong communication skills and experience working with technical and non-technical teams across multiple countries., • Firmware understanding: Familiarity with firmware concepts and experience with C or Python for embedded systems testing and debugging., • Track record: Proven experience leading the electronics design lifecycle from prototype through to mass production., • Flexibility: Willingness to travel to China as needed., • Animal lover: A passion for animals is a plus—our NYC office is pet-friendly!Why You’ll Love Us:, • Time to Recharge: Enjoy flexible PTO to take the breaks you need., • Top-Notch Health Coverage: We’ve got your back (and teeth and eyes) with full medical, dental, and vision insurance., • Wellness Perks: Free access to One Medical, Kindbody, and Talkspace to keep you feeling your best., • Give Back to the Pups: Make tails wag with a $500 annual donation to a dog charity of your choice through our BarkBack Program., • Free Fi Membership: Your furry best friend(s) get all the benefits of a Fi collar, on us!, • Love for Friends + Family: Share the Fi magic with loved ones through our gifting program.The anticipated base salary range for this position is $150,00–$225,000. Actual compensation will vary based on multiple factors, including skills, experience, market conditions, and role scope, which may evolve during the hiring process. As a fast-growing Series B startup, Fi evaluates compensation opportunistically to align with the right candidate. This role is also eligible for equity compensation.Fi is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Fi makes hiring decisions based solely on qualifications, merit, and our needs at the time.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job Description • Unfortunately, no visa sponsorship or transfer will be provided with this position., • If you're up for the challenge, we'd love to hear from you. When you click apply, there will be an application form for you to complete. It should take around 5 to 10 minutes to complete. Cornspring is an innovative start-up FinTech company, with a mission to empower Family Offices and Asset Owners with real-time, AI driven data intelligence and portfolio insights. The tools we are building are solving one of the most complex and valuable challenges in Finance. Our clients operate at the highest levels of global finance, managing billions in assets. Yet, legacy systems fail them: slow, fragmented, and outdated. Cornspring is redefining Family Office services by leveraging state-of-the-art generative AI and Large Language Models to provide unparalleled insights and efficiency to Family Office investment and accounting data. This is a high-ownership environment, and we need exceptional engineers who bring a mix of talent and passion to join us on our incredibly exciting journey. We are currently looking for a top-tier Senior Data Engineer with deep expertise in Python programming in a financial context. This is a pivotal role, where you will be tackling technically challenging problems and working with cutting edge AI technology. You will be reporting to the Head of Data Operations and will be working alongside a team of talented engineers. • You will be responsible for developing and maintaining our ETL pipelines, handling diverse data formats, and ensuring data quality and consistency., • You'll work on automating data processing workflows while implementing robust validation and error handling mechanisms to maintain data integrity., • You will conduct testing on data movement, transformation code, and data components to ensure integrity, accuracy, and high-quality deliverables for all data processing., • You will design and implement data solutions for new initiatives and provide continuous oversight for existing solutions to improve quality and performance., • You will assess and integrate new data sources into pipelines to meet evolving business needs., • The role requires a strong expertise in Python data manipulation libraries and a solid understanding of financial data structures., • University degree in Computer Science, Software Engineering or equivalent., • Solid data engineering experience., • Experience designing and maintaining ETL pipelines, integrating data from multiple sources (including APIs)., • Experience working with remote teams., • Competitive salary., • Hybrid working: we work from a beautiful office in Manhattan 2 days a week., • Being part of a revolutionary movement in Family Office technology., • Working with cutting-edge AI and data technologies., • Challenging projects that make a real impact to our sector.

Job Description About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Senior Software Engineer for our Data Engineering team to support engineering efforts across our data infrastructure, pipelines, and analytics platforms. This senior individual contributor role is responsible for designing and building scalable data systems, mentoring engineers, and partnering with domain product teams (Clinical Experience, Member Experience, and Care Delivery) to deliver reliable, high-quality data that powers insights and decision-making. Your work will directly enable Atria’s long term research ambitions and enable our physicians to derive novel clinical insights. You'll own complex data initiatives from design through implementation while establishing best practices that elevate the entire engineering organization. Tech Stack • Languages: Python, SQL, • Data Processing: Dagster, dbt, • Infrastructure: Google Cloud Platform, Terraform, Kubernetes, Docker, • Data Storage: Snowflake, PostgreSQL, MySQL, • Streaming: Pub/Sub, Kafka, • CI/CD: GitHub Actions, • Monitoring & Observability: Datadog, Grafana, OpenTelemetryKey ResponsibilitiesData Infrastructure & Pipelines, • Design, build, and maintain scalable data pipelines and ETL/ELT workflows, • Help to own and improve our data warehouse architecture in Snowflake, • Implement data modeling best practices to support analytics and reporting needs, • Drive data quality initiatives, including validation, testing, and monitoring frameworksCross-Team Collaboration, • Partner with product engineering teams to design data contracts and integrate data capture into applications, • Work closely with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products, • Collaborate with Security and Compliance to implement data governance and privacy best practices, • Partner with Product and Engineering leadership on data strategy and technical roadmapsSupport Research and Clinical, • Collaborate with Clinicians and Clinical Researchers to ensure they have the data available to deliver on their projects and support patient care, • Work with our Analysts to decrease latency, improve testability and integrate with de-identification providers to meet our goals and regulatory needsMentorship & Culture, • Mentor and coach more junior data engineers, fostering growth and technical development, • Establish and document data engineering standards, patterns, and best practices Compensation: $190,000-$250,000 Requirements Required • 7+ years of software engineering experience, with 3+ years focused on data engineering, • Deep experience with cloud data platforms, such as Snowflake and BigQuery, • Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar), • Strong SQL skills and experience with data modeling and warehouse design, • Experience with data transformation tools such as dbt or Spark, • Demonstrated ability to lead technical initiatives and influence without direct authority, • Excellent communication skills and ability to translate complex technical concepts for varied audiencesPreferred, • Experience in healthcare technology or other regulated industries, • Familiarity with streaming data architectures and real-time processing, • Experience building and scaling data quality and observability platforms, • Track record of improving data accessibility and self-service analytics capabilities At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • OneMedical membership for employees & dependents giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (Calcium score), • Fitness Perks including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure, • Time to give back and make an impact in underserved communities

Job DescriptionWho you are: You’re a hands on Senior Data Engineer with strong Python skills and experience building robust data pipelines in cloud environments. You enjoy solving complex data problems, working cross-functionally, and building the infrastructure that powers analytics and product development. You’re ready to take the next step in your career at a company where your work will directly impact the business and customer experience. Does this sound like you? If so, keep reading and apply today!What you’ll do: • Design, build, and maintain reliable data pipelines to support internal analytics and customer-facing product features., • Architect, develop, and maintain robust data infrastructure using structured (Postgres) and non-structured databases (MongoDB), • Write, optimize, and maintain extensive SQL queries and scripts to support complex data retrieval and analysis., • Design, develop, and manage ETL processes using APIs to integrate various data sources seamlessly into our analytics environment., • Perform database optimization, performance tuning, and capacity planning to ensure maximum efficiency and reliability., • Own data integrations across systems and ensure data is clean, validated, and well-modeled., • Collaborate closely with data scientists, analysts, and software engineers to ensure the right data is available in the right format at the right time., • Leverage modern data tools and cloud infrastructure to build scalable solutions that meet business and technical requirements., • Troubleshoot data issues and continuously improve pipeline performance and observability.What you have:, • Advanced proficiency in Python and SQL in a production environment, including query optimization and schema design., • Proven experience working programmatically with structured (Postgres) and unstructured (MongoDB) databases., • Strong background in database performance optimization and capacity planning., • Demonstrated expertise in developing and maintaining ETLs using APIs and automation frameworks., • Experience with cloud platforms such as AWS (especially services like Redshift, or S3)., • Solid understanding of data modeling and best practices for data integrity and security., • Deep expertise with Spark., • Working knowledge of Terraform, Kubernetes, and CI/CD workflows., • Excellent communication and collaboration skills, with the ability to work cross-functionally and translate technical concepts to non-technical audiences., • Experience with orchestration tools like Prefect or Airflow., • Exposure to modern data workflows, notebooks, and warehouse modeling., • Ensure data quality and integrity through proactive monitoring, testing, and validation processes.Why join Polly?, • High Bar of Talent: Polly consistently performs in the top quartile of start-up companies, and we consider the people of Polly the engine helping us achieve success. Many candidates choose Polly because of the collaborative, smart, and fun people that work here. We strive to hire the best to continue to raise that bar, and <5% of those that enter the interview process are presented with an offer., • Disruptive Mission: Mortgage capital markets is historically an under-innovated space; Polly is committed to changing that. Our purpose-built platform has reimagined and reinvented the way that our lender customers operate. We are seeking passionate and driven builders who are not interested in accepting the status quo., • Individual Impact & Growth: Every day, the Polly team doesn’t just work—they contribute to our overarching mission. Individual impact is highly visible and everyone’s voice matters. You will have exposure to every level of leadership, cross-functional teams, and impactful projects, giving you a unique opportunity to build and hone your skills., • Hybrid Workplace with Innovation at the Core: Here at Polly, we believe in blending flexibility with in-person collaboration. With a hybrid model, our employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco (remote available for this role, hybrid strongly preferred), driving forward-thinking solutions and fostering teamwork.Employee Benefits:, • Competitive Compensation: Polly offers competitive salaries designed to reward your expertise and direct impact/contributions., • Comprehensive Health Coverage: Employees enjoy 100% company-paid medical, vision, dental, disability, and life insurance, granting peace of mind., • Flexible Vacation, Done Right: Take time off to recharge when you need it with Polly’s flexible, non-accrued vacation policy—because we trust you to balance work and life., • Hybrid Environment: Polly employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco.Interview Process, • Recruiting Screen - 30 minute 1:1 with a Polly Talent Team Member, • Initial Team Round - 30 minute 1:1 with Polly’s Data Science Lead, • Assessment - Live Assessment

Job DescriptionCompany Description BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration. This role is ideal for someone who can move quickly from idea to execution—transforming complex datasets into predictive trading signals that capture short-term market opportunities. You’ll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don’t stay in theory but turn into real, monetized strategies. Key Responsibilities: • Perform rigorous, time-sensitive applied research across diverse data sources—including high-frequency market data and alternative datasets—to uncover systematic anomalies., • Design and engineer predictive features that can be rapidly tested and deployed into production strategies., • Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation., • Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently.Qualifications, • Bachelor, Master’s or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution., • 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred., • Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves., • Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code., • Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor., • High sense of ownership, urgency, and accountability. Additional Information What we offer: • Experience a modern international technology company without the burden of bureaucracy., • Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more., • Enjoy excellent opportunities for professional growth and self-realization., • Work remotely from anywhere in the world with a flexible schedule., • Receive compensation for health insurance, sports activities, and non-professional training.

Job Description Contract IT–AV Break/Fix Engineer MUST be local to New York City, 100% Onsite The IT–AV Break/Fix Engineer provides hands-on onsite support, troubleshooting, repair, maintenance, and operational continuity of corporate audiovisual systems across the companies locations. The role is responsible for rapid incident response, problem resolution, and preventative maintenance across executive boardrooms, trading floors, conference rooms, event spaces, and collaboration environments. This role is highly visible and requires professionalism, technical proficiency, and customer-centric support with an ability to operate within a regulated financial-services environment. Key Responsibilities: Break/Fix Support • Diagnose and resolve AV hardware and software failures, • Provide rapid onsite response to conference room outages, • Troubleshoot AV endpoints, codecs, DSPs, cameras, mics, control systems, • Provide daily room readiness quality control checks, • Maintain SLAs for repairs and technical escalations via Service Now, • Support executive meetings and high-visibility events Hands-on break/fix support for: • Cisco Collaboration endpoints (Webex codecs, RoomOS, Desk, Board), • Microsoft Teams Room environments, • Zoom Rooms, • SIP/H.323 gateway environments, • Cloud & on-prem integrations Hardware Support • Cisco collaboration endpoints, • Biamp, QSC, Extron, Crestron control, • Shure, Sennheiser audio DSPs, • PTZ cameras and video distribution, • Displays, projection, switching, routing Compliance & Enterprise Environments • Follow internal change management guidelines, • Maintain detailed ticketing and worklog documentation, • Support ITIL, ITSM, and regulated workflows, • Observe cybersecurity and compliance requirements Required Skills • 5+ years professional AV engineering or break/fix support experience, • Deep AV troubleshooting across codecs, control, audio, video, • Familiarity with AV-over-IP architecture, • Strong hands-on experience in executive environments Preferred Qualifications & Certifications Candidates with one or more of the following will be prioritized: Certifications • Cisco CCNA Collaboration (preferred), • Crestron Technician or Programmer certifications, • Extron Professional Certifications, • Q-SYS Level 2/3, • Biamp Tesira, • ITIL Foundation, • CompTIA Network+ Technology Experience Preferred • Cisco Webex collaboration ecosystem (RoomOS, Room Kit, Desk, Board), • Microsoft Teams Room (Microsoft and OEM partner platforms), • Zoom Rooms and conferencing interop environments, • SIP/H.323 video integrations, • Crestron, QSC, Biamp DSP ecosystems, • Video distribution (HDMI, SDVoE, NDI, Dante AV, AVB), • Dante and audio networking, • AV network segmentation and QoS Soft Skills & Competencies • Executive-level communication proficiency, • Calm under pressure and high urgency support mindset, • Customer-first service orientation, • Professional maturity in front of senior leadership, • Detail-oriented documentation and ticketing discipline