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Applied Business Communications (ABcom) is a national low voltage BICSI Certified Prestige commercial structured cabling contractor and we are recruiting a Data Center Technician. “We Connect” relationally and technically. And, we do it within the framework of our corporate values: Family, Accountability, Profitability, Integrity, and Quality. Position is immediately available. Apply now to join our great team today! Requirements Essential Functions: Perform Cages, Racks and Cabinets setup, layout, leveling and power strip installation. Installation and termination of Fiber and Copper Installation of patch cords Performs installation of wiring, patch panel and network switch, hub, and console Ability to read and understand cabling matrix Perform Rack and Stack for various IT equipment when required on a day to day basis Uncrates, moves, equipment from loading dock. Provide support to collocation customers, provide prompt response to customer requests. Perform required Site inspections. Work with vendors performing electrical ensuring that all work is performed according to established practices and procedures. Understand, update and execute detailed Method of Procedures (MOPs) Maintain data center operating procedures Maintain accurate records and document all problems Able to work night and weekends when needed SKILL/KNOWLEDGE REQUIREMENTS : • 3+ years experience running projects in the communications cabling Industry • Data Center experience • Demonstrate a clear knowledge of codes and standards • Ability to complete and submit accurate documentation which tracks work progress including timesheets and other related documents • Communicate with strong written and verbal skills • Maintain a positive attitude and professional dress and demeanor CERTIFICATION (desired): • BICSI Certified Technician -- Installer 1 or 2, Copper and/or Fiber • Other manufacturer certifications • Other certifications such as OSHA, Confined Space, etc. TOOLS: Owns all company required communications technician hand tools, keeps them in good operating condition, and knows how to use them

The Organization    At TWG Group Holdings, LLC (‘TWG Global’), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment. Data is one of our most valuable assets, and our commitment to AI allows us to transform that data into a powerful competitive advantage. We are pioneering a range of data and AI services that provide real-time intelligence to both our customers and workforce, enabling them to make informed decisions within interactive, cloud-native business applications.  As we evolve into an AI-first, model-driven, and cloud-native company, we prioritize responsible data and AI practices that protect our customers and workforce while ensuring compliance within a regulated environment. Our goal is to lead by example, acting with the highest standards of ethics, responsibility, and transparency. This commitment drives our development of cutting-edge AI/ML business applications across our diverse product and service offerings.  In this role, you will be at the heart of our data and analytics transformation, collaborating closely with management teams to achieve our strategic objectives and operational excellence. Our decentralized structure empowers each business unit to operate autonomously while benefiting from the strategic guidance and support of our central AI Solutions Group.  Through our pioneering partnerships with major data and AI vendors, you will have the opportunity to work on transformative projects that will revolutionize marketing, distribution, customer acquisition, and internal processes. These initiatives are designed to enhance productivity, reduce costs, and create high-demand products and services. The advanced data systems we develop will grant management unparalleled access to real-time performance data, enabling swift, informed decision-making and agile business adjustments.  Moreover, you will play a crucial role in leveraging our strategic relationships and equity positions in leading tech startups. These collaborations are not just about staying ahead of the competition—they are about creating true competitive advantages across our businesses. You will contribute to projects that are reshaping industries, from harnessing cloud-based supercomputing capabilities to driving key initiatives with major universities that are shaping the future of technology.  At TWG Global, your work will directly contribute to our ambitious goal of generating sustained growth and superior returns, with expected annual equity returns exceeding 20%, including growing dividends. Join us as we push the boundaries of technology and innovation, delivering significant value across our portfolio while making a profound impact on the industries we serve.  As Staff Data Scientist , you will lead the development and implementation of cutting-edge AI solutions to drive significant business impact, including cost optimization and revenue growth. Reporting to the Executive Director of AI Science, you will be a key strategic advisor and a custodian of institutional AI knowledge. You will drive the development of predictive modeling use cases, prioritize AI governance, and champion the ethical and responsible use of AI across the organization. This role requires a deep understanding of AI/ML techniques, strong leadership skills, and the ability to translate complex technical concepts into actionable business strategies.  Key Responsibilities: Deliver cutting-edge AI/ML capabilities and tools in a project-based capacity to accelerate key business objectives, including cost savings and revenue generation.  Develop advanced AI solutions, including time series forecasting, reinforcement learning, optimization and optimal decision-making, speech and conversational AI, and Graph AI.  Champion the exploration and implementation of advanced AI techniques, including time series forecasting, reinforcement learning, optimization, and conversational AI, to address critical business challenges. Stay abreast of emerging trends and technologies, ensuring the organization remains at the forefront of AI innovation. Serve as a key contributor to the Foundation Model Task Force, driving the development and implementation of foundational AI models that will be leveraged across the organization.  Ensure that all AI initiatives adhere to the highest standards of trust, transparency, safety, and security, fostering ethical AI practices and maintaining regulatory compliance.  Develop and implement AI strategies that align with and accelerate business objectives, delivering tangible outcomes such as improved efficiency, cost reductions, and new revenue streams.  Collaborate with business leaders, technical experts, and cross-functional teams to ensure AI/ML initiatives are integrated effectively and aligned with broader business strategies.  Stay ahead of industry trends and drive continuous improvement by incorporating emerging AI technologies and methodologies into the organization's toolkit, ensuring the company remains at the forefront of AI innovation.  Establish and manage performance metrics for AI/ML projects, ensuring that all initiatives are delivered on time, within scope, and achieve desired business outcomes. Requirements Ideally 8+ years experience in data science or developing machine learning models, working on cross-functional teams and managing complex, multi-faceted AI initiatives. Strong expertise in statistical analysis, machine learning, and data mining, including time series forecasting, reinforcement learning, optimization, and speech or conversational AI.  Proficiency in programming languages such as Python, R, or similar, and experience with data visualization tools. Excellent leadership, communication, and interpersonal skills. Ability to think strategically and drive business results through data insights. Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field. Benefits Position Location  This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case-by-case basis.  Compensation Th base pay will for this position is $285,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform. Requirements Should have extensively worked on Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, data bricks ,Cosmos DB, Azure Stream analytics Expertise working on Databricks. Knowledgeable in tools used to identify and manage structured and unstructured data Must have BI, EDW, along with Data Strategy, Architecture and Governance Defined and implemented information lifecycle management practices Strong background and working knowledge in end-to-end data management principles Strong background in developing and utilizing tools that prepare, extract and manipulate data to create connected datasets (data warehousing) that can be utilized for analytics purposes Strong communicator at the technical levels Demonstrated teamwork skills Good to have- Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

LOCATION: This will be a hybrid role (2 days a week) working out of our San Carlos, CA location. POSITION SUMMARY: Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D Operations Data Science is to support R&D activities at Natera through data analytics and software tool development to optimize workflows and processes. As a Data Engineering Manager on the team, you will lead the design, development, and deployment of scalable data infrastructure, backend services, and software tools that enhance operational efficiency in R&D. Your role will focus on implementing new processes, optimizing data workflows, and developing software solutions to support R&D initiatives. You will work independently and cross-functionally, collaborating with R&D, data science, software engineering, and DevOps teams to build and maintain high-performance data pipelines, APIs, and cloud-based solutions. Additionally, you will manage a team of engineers, ensuring best practices in data engineering, cloud infrastructure, DevOps, and frontend integration. RESPONSIBILITIES: Data Engineering & Backend Development Lead the design and implementation of scalable data pipelines for ETL, data ingestion, and data transformation. Develop and deploy REST APIs and microservices using FastAPI (or similar Python frameworks). Implement and manage high-performance caching layers using Redis and Elasticsearch. Oversee data migration, data replication, and integration across multiple systems. Ensure data quality, governance, and reliability in engineering workflows. DevOps & Cloud Infrastructure Design and maintain CI/CD pipelines using GitLab CI/CD for automated deployments. Deploy and manage services on AWS cloud infrastructure (EC2, Fargate, Lambda, S3, RDS, etc.). Implement containerization and orchestration using Docker and Kubernetes. Monitor and optimize system performance, logging, and alerting for production workloads. Implement strategic cost optimization initiatives of cloud infrastructure. Software Development & Tooling Develop custom software tools to optimize R&D workflows and process automation. Work with stakeholders to identify pain points and design engineering solutions that improve efficiency. Implement data visualization tools and dashboards to improve operational insights. Frontend & Data Visualization Design and implement user-friendly data interfaces for internal R&D teams. Leadership & Strategy Manage and mentor a team of data engineers. Drive best practices for code quality, testing, and documentation. Identify and implement new tools and technologies to improve data workflows and software development processes. Collaborate with cross-functional teams to align engineering efforts with R&D objectives. QUALIFICATIONS: 5+ years of experience in data engineering, backend development, and DevOps. Strong programming skills in Python. Knowledge of data pipelines, ETL processes, and database management. Expertise in microservices and REST API development (FastAPI preferred). Strong experience with AWS services (EC2, Fargate, Lambda, S3, RDS, etc.). Proficiency in CI/CD automation using GitLab CI/CD. Experience with containerization (Docker, Kubernetes). Familiarity with infrastructure-as-code (Terraform, CloudFormation). Familiarity with React.js for frontend integration. Excellent problem-solving and leadership skills. NICE TO HAVE: Experience with streaming data processing (Kafka, Spark, etc.). Experience with workflow orchestration tools (Apache Airflow) Knowledge of data governance and security best practices. Hands-on experience with Redis, Elasticsearch, and data caching strategies. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. San Carlos, CA $161,700 — $202,150 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents.  Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @ natera.com  email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams   - FBI Cyber Crime resource page  

POSITION SUMMARY: Clinical Data Operator 1 accessions patient samples according to standard operating procedures (SOP) with high efficiency and accuracy, onsite Pleasanton, CA lab. Schedules listed below and pay starts at $21.77.     Schedule:  Tuesday - Saturday Day Shift:  730am - 4pm, Pay starts at $21.77/hr.  Swing Shift :  4pm - 1230am  (Swing shift has 15% differential), additional pay on Saturdays.    PRIMARY RESPONSIBILITIES: Create new orders on Laboratory Inventory Management System (LIMS) and perform necessary checks to ensure proper accessioning. Accession samples with high accuracy and efficiency. Accurately enter patient data into the Laboratory Inventory Management System (LIMS). Ensure that the information in LIMS is up-to-date. Scan test requisition forms and attached paperwork.  Ensure that all paperwork belong to patient and upload to case. Protect patient health information (PHI) at all times to ensure compliance with HIPAA and privacy policies. Perform safe and proper handling of samples (blood, buccal, and tissue). Maintain tidiness of workstations and lab. Maintain familiarity with standard operating procedures (SOP) and quality standards determined by the clinical laboratory. Perform safe and proper handling of tools provided to open packages and kit boxes. Sort packages at the dock upon arrival of packages and bring packages up to the lab. This role works with PHI on a regular basis both in paper and electronic form and have an access to various technologies to access PHI (paper and electronic) in order to perform the job. Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire. Must maintain a current status on Natera training requirements. Performs other duties as assigned. QUALIFICATIONS: High School Diploma (or equivalent) required. 0 - 1 year of industry related experience. Previous computer experience is required. Previous data entry experience is preferred KNOWLEDGE, SKILLS, AND ABILITIES: Trained on all product types and able to accession with accuracy and efficiency. Typing speed of at least 45wpm with high accuracy. Good oral and written communication skills. Effective critical thinking skills and the ability to use good judgment. Ability to perform required duties with a high degree of accuracy and attention to detail. Positive attitude and ability to work well with others. OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents.  Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @ natera.com  email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams   - FBI Cyber Crime resource page  

LOCATION : This will be a hybrid role (1-2 days a week) working out of our San Carlos, CA location. POSITION SUMMARY: Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D operations data science is to support R&D activities at Natera through data analytics and development of tools to optimize workflows and processes. As a Senior Data Analyst on the team, you will generate data insights and reports to provide actionable insights that drive continuous improvement in our R&D processes. You will collaborate closely with cross-functional stakeholders to fulfill requests, implement measures to ensure the integrity and quality of the data, and automate reports and dashboards for performance tracking. RESPONSIBILITIES: Extract, clean, transform, and analyze complex data from multiple sources to support R&D Operations and strategic decision making Provide actionable insights and recommendations to improve R&D processes, productivity, and outcomes Implement and monitor measures to ensure the accuracy, consistency, and quality of data Automate key performance indicator (KPI) reports and develop interactive dashboards to track performance, milestones, and results Work closely with R&D stakeholders and R&D Operations teams to understand data needs and fulfill requests Develop and optimize SQL queries for efficient data retrieval, analysis, and reporting Partner with data engineers to enhance database performance and optimize the data architecture for better scalability and usability QUALIFICATIONS:  2+ years of experience in data analysis Proficiency in Python for data analysis Expertise in writing complex custom SQL queries Ability to write readable, reproducible, and well-documented code Familiarity with data visualization tools such as AWS Quicksight or similar platforms Ability to independently troubleshoot issues and provide insights to complex data problems Strong written and verbal communication skills Experience working in cross-functional teams, with the ability to manage multiple priorities and meet deadlines NICE TO HAVE:  Experience with version control practices and tools Domain knowledge in molecular biology, biochemistry, bioinformatics, operations research or related field Expertise with the Python data science ecosystem Strong data visualization skills Experience with Snowflake Experience with DBT Proficiency in a Linux environment The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. San Carlos, CA $103,600 — $129,450 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents.  Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @ natera.com  email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams   - FBI Cyber Crime resource page  

As part of the Data Engineering team, you will play a key role in enabling company wide data informed decision making. Product and Business teams leverage our data assets to analyze and optimize user adoption, growth, and revenue. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Design, implement and scale end-to-end data products that support growing data processing and analytical needs. Transform raw data into actionable insights to drive product strategy, and power in-depth analysis and reporting. Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals. Embrace broad ownership to expand your skills and influence the company’s data strategy. Implement systems that guarantee data quality and availability. About you: 5+ years of experience in Data Engineering or Software Engineering. Experience in data modeling and building scalable data pipelines involving complex transformations. Proficient in data processing and storage technologies like AWS/S3/HDFS, Databricks, Redshift, Python/Scala/Java, SQL, Spark, Airflow. Proactive and innovative in identifying and addressing bottlenecks in existing workflows. Motivated to work closely with cross-functional partners to evolve our analytical data model. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $182,000 - $232,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences  These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-FN1

Are you a software engineer who thrives on building scalable, reliable systems for a modern cloud platform? Do you enjoy designing high-performance pipelines that empower analytics and real-time insights across distributed systems? Are you excited to mentor other engineers while developing core data infrastructure that drives business decisions? If so, we invite you to be a part of our innovative team. Ridgeline is looking for a Senior Software Engineer to join our Data Delivery Squad, a critical group within the Data Engineering organization. In this role, you’ll be responsible for architecting and optimizing robust, scalable data pipelines and systems that deliver clean, timely, and trusted data. You’ll partner cross-functionally to empower internal and external stakeholders with seamless data access—enabling reporting, analytics, and product development across the platform. You’ll be leveraging cutting-edge technologies, including an AI-first approach using tools like GitHub Copilot and ChatGPT, to accelerate development and drive innovation. What will you do? Design and build scalable, reliable, high-performance data pipelines that ingest, transform, and deliver data across Ridgeline’s platform Develop and maintain data APIs, SDKs, and services to support internal development teams and external clients Ensure data quality and integrity by implementing robust testing, validation, and monitoring processes Collaborate with product managers and cross-functional software engineering teams to deliver impactful, data-driven solutions Optimize storage, processing, and retrieval mechanisms for performance, scalability, and cost efficiency Implement best practices for CI/CD, observability, and security in all data engineering workflows Mentor junior engineers and provide technical leadership to foster a culture of continuous learning and innovation Desired Skills and Experience 5+ years of experience in software engineering with a strong focus on data engineering and distributed systems Proficient in Python, Kotlin, or Java Advanced knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, Aurora) Deep experience in designing and maintaining data pipelines, data models, and ETL/ELT workflows Familiarity with big data tools such as Kafka, Spark, or Flink Experience working with cloud platforms (preferably AWS) Hands-on with containerization and orchestration tools like Docker and Kubernetes Excellent communication and collaboration skills Strong analytical problem-solving abilities with a bias for action Ability to take ownership and lead initiatives independently while mentoring others Bonus: Experience in the financial services or investment management industry Knowledge of event-driven architectures and real-time data processing Familiarity with Change Data Capture (CDC) tools such as Debezium and Kafka Connect Background in building developer platforms or SDKs Understanding of multi-tenant architecture and scalable cloud infrastructure About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry.  Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America’s Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits  [For New York and California Based Only] The typical starting salary range for new hires in this role is $140,000-$165,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.  As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.   #LI-Hybrid

Luminar Technologies is a global automotive technology company ushering in a new era of vehicle safety and autonomy. For the past decade, Luminar has built an advanced hardware and software/AI platform to enable its more than 50 industry partners, including the majority of global automotive OEMs. From consumer vehicle programs with Volvo Cars and Mercedes-Benz to technology partnerships including NVIDIA and Mobileye, Luminar is poised to be the first automotive technology company to enable next-generation safety and autonomous capabilities for global production vehicles. For more information, please visit www.luminartech.com. Luminar Technologies is seeking a Senior Data Engineer to contribute to the development efforts of our end-to-end data pipeline and corresponding web applications. Our vision is to make autonomous transportation safe and ubiquitous. Far too many lives are lost in vehicle accidents each year. Because when real people’s lives are at stake, driving safely 99% of the time isn't good enough. We just launched Hydra , and it’s capabilities are unmatched: road tracking out to 80m, lanes to 150m, and objects to 250m. Visit us @ https://www.luminartech.com/ to find out more. Responsibilities Contribute to the development of automotive-grade software for perception and self-driving applications based on Luminar’s industry leading LiDAR platform Implementation of BigData infrastructure and services Quality control of data infrastructure and data service development Automation of data infrastructure Implementation of data transformation and streaming services Manage site reliability of data services Minimum Qualifications B.S. in Computer Science or a related field  4+ years of relevant industry experience Already shipped and operated Big Data systems in production environments Experience in scalability of data systems Experience Cloud services, Cloud deployment and developer operations Hands-on Big Data software and infrastructure development skills Expert knowledge in technologies like Kafka, Kibana/Elastic, Spark, Airflow or Hadoop Hands-on experience of data storage and schemes like Avro, Parquet Very strong coding skills in Java or C++ and Python   Preferred Qualifications Expert knowledge in rational, no-sql and distributed data stores M.S. in Computer Science or a related field  Operational experience with on-prem and cloud data systems Experience with large-scale ingestion architectures Hands-on experience in data streaming technologies Experience in cloud and on-premises data systems Experience with Machine Learning and/or Computer Vision algorithms  Benefits & Perks Location: HQ near Stanford University in the beautiful city of Palo Alto, California Timing: A start-up backed by industry leaders, at a critical stage of growth  Compensation: Competitive salaries and meaningful equity  Benefits: Comprehensive package (medical, dental, vision, and more)  PTO: Take it when you need it, we are a results-oriented team (not just 9-5 job)   Luminar is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, service in the military, or any other characteristic protected by applicable federal, state or local laws. We will make a reasonable accommodation for any qualified applicant with a disability, provided that the individual is otherwise qualified to safely perform the essential functions of the job with or without accommodation and that the accommodation would not impose an undue hardship on the operation of our business. Please let us know if you believe you require reasonable accommodation, or if you would like assistance to complete an application or to participate in an interview at the company. At Luminar, your base pay is one part of your total compensation package. This role pays a base between $148,000 and $195,000* per year. Within this range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. You will also be eligible to receive other benefits including: equity in the form of restricted stock unit awards, comprehensive medical and dental coverage, 401k plan, life and disability benefits, flexible time off , paid parental leave, and tuition reimbursement for formal education related to advancing your career at Luminar. The specific programs and options available to an employee may vary depending on date of hire and schedule type.  

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.  Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age’s Data & Insights Agency of the year for the second year in a row . Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: We seek a skilled Data Engineer to join our data team and drive the development and maintenance of robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. This role is critical in ensuring our organization has a reliable, scalable, and efficient data infrastructure to support data-driven decision making across marketing and business operations. WHAT YOU’LL DO Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues Support automated reporting solutions using Python Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes Ensure data warehouse scalability, performance optimization, and cost efficiency Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks WHO YOU ARE AND WHAT YOU HAVE 2-5 years of experience in data engineering or related roles Highly proficient with Python, SqlAlchemy, Alembic, Pytest,  Experience with SQL and relational databases such as Postgres Experience with database design and optimization Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.) Experience with deploying data pipelines in Python Experience with Git, GitHub, or other version control tools USEFUL EXPERIENCE Experience with containerized architecture (Docker, Kubernetes, Argo Workflows) Experience with DevOps practices and CI/CD (GitHub Actions) Experience with data warehouses (Snowflake) Experience with cloud infrastructure (AWS) Experience with data visualization tools (Marketing Cloud Intelligence) Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K - $135K.             This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

At Citymapper (powered by Via), we’re on a mission to help make complex cities more accessible to everyday users. Our application transports millions of people in hundreds of cities around the world by giving them access to the most current and sophisticated transportation options available. We make getting around your favourite city easy, so that you can enjoy the ride. As a Transit Data Team Lead  at Citymapper, you will be responsible for the data and the team that is the backbone of our application’s success. You’ll lead a team of highly skilled and motivated Data Analysts who form the foundation of Citymapper’s exceptional data quality. Millions of users around the world trust our application to be on time for work, a job interview, or a date - and we take great responsibility in fulfilling that need. What You'll Do: You’ll lead a team of highly skilled and motivated Data Analysts, the driving force behind Citymapper’s exceptional data quality. You will work with our Product Manager to build for scale by improving tools and automating tasks, ensuring the highest data quality for all regions You will develop and evolve new ways of measuring and improving data quality, and work with our marketing team on telling that story. You will collaborate with other teams at Citymapper, Remix and Via to facilitate product development and delivery, customer success and retention, and user growth. You will ensure data quality in our web and mobile products so that users continue to love and trust Citymapper. Who You Are: A generalist with at least 4 years of experience to guide you – preferably as a technical/operations manager or team lead in a fast-paced, product-oriented company You have a proven track record of managing teams with exceptional attention to detail and a strong ability to uphold high standards across your team. A leader who builds and motivates high-performing teams through mentorship, clear goal-setting, and fostering a culture of continuous improvement You are comfortable dealing with large datasets and skilled at translating them into actionable insights that drive business decisions You excel at communicating complex technical concepts to both technical and non-technical audiences Fluency in English is a must (other languages considered a huge plus) What Catches Our Eye: While not required, it would be a definite plus: Experience working with Python, and/or common transit data formats (GTFS, TransXChange, Siri, Hafas, etc). A passion for public transportation and cities, and an interest in how public transportation networks operate. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $85,000-$115,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We pioneered the TransitTech category to ensure that the future of transportation is shared, dynamic public mobility — the kind that reduces carbon emissions across congested cities, minimizes reliance on private cars, and provides everyone with accessible, efficient, and affordable ways of getting around.  We created the first end-to-end TransitTech solution for cities and transit agencies, offering world-class software, service design, and operational expertise to fundamentally improve the way the world moves. Via was founded with the guiding principle that we go further when we go together. We are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. All backgrounds, identities, and voices are welcomed and celebrated at Via. Ready to join the ride?  Via is an equal opportunity employer. #LI-RB1

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description We are looking for an experienced Staff Software Engineer, ML Data to play a leading role in taking Acubed’s excellent data pipelines and analytics to the next level. The ideal candidate has deep technical expertise and demonstrated leadership in all aspects of data and software engineering for novel ML applications.  In this very hands-on role, you will work closely with senior members of our data, labelling, and ML teams to help Acubed deliver world-class data operations and infrastructure, maximizing  performance, robustness, and adaptability. In this lean, fast-paced environment, you will help to deliver on a steady stream of new ML-based applications while improving our processes and systems steadily along the way. Responsibilities  Provide technical leadership across a significant portion of the data function, which encompasses all data operations that surround and support the ML model development function, from ingestion to evaluation. Develop and Implement machine learning-based labeling techniques to enhance data labeling accuracy. Help design and implement data pipelines that support the ingestion, cleaning, labeling, and analysis of high-quality datasets at scale. Partner with cross-functional teams (including software engineering, tooling, flight test, simulation, data engineering, and ML) to address bottlenecks in data availability, focus data collection methods, and ensure comprehensive data coverage. Identify and address gaps in data coverage, ensuring consistent data flows that support robust ML model performance by “closing the loop” from model development to testing to data collection and creation. Develop and implement actionable metrics to continuously evaluate and improve data quality and availability. Work closely with data scientists and machine learning engineers to refine and curate datasets, with a focus on improving the accuracy and robustness of predictions. Work with sensor data, especially still images, and have a working knowledge of embeddings and vector databases to improve machine learning model inputs. Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 11+ years of experience or equivalent in a software/data engineering leadership role. Experience with machine learning-based labeling techniques.  Deep expertise in developing data pipelines for ML. Strong Python data skills.  Experience with all major types of databases and when to use them: relational/OLTP, analytical/OLAP, vector, document/NoSQL, time series.  Experience developing  data quality metrics and dashboards that drive actionable insights. Demonstrated active interest in use of AI for development. Demonstrated team player who values psychological safety, trust, humility, and a learning mindset. Bonus points for: Computer vision experience. Experience in safety-critical development, preferably in aviation. Familiarity with embedding techniques for different data modalities, including sensor and image dat. Compensation: The estimated salary range for this position is $194,008 to $249,082 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more. Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.  Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role. All job offers at Acubed are contingent upon the candidate passing references, background and export control checks.

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're seeking talented professionals to work on a cutting-edge program that's transforming the way defense intelligence is produced, delivered, and supported. As a member of our team, you'll play a critical role in developing and sustaining innovative applications and capabilities that enable the full cycle of all-source intelligence production. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. Mission Focus: NT Concepts is seeking a Lead Data Engineer to oversee development of an innovative new Business Analytics Data Fabric in support of the Defense Intelligence Agency’s All-Source Analytic Enterprise (DIAAE). This architecture will serve as a single source of truth for all intelligence application data, providing a unified view of production planning, sourcing patterns, and client engagement. With this platform, you'll help enable: Meaningful analytics : Uncover hidden trends and patterns in intelligence data to inform business decisions and drive strategic outcomes Cross-contextual insights : Extract, transform, and load data from diverse sources to a common enterprise data fabric to reveal new relationships and accelerate time to intelligence Data-driven decision making : Empower stakeholders with actionable intelligence to optimize production planning, sourcing, and client engagement Clearance : Active TS/SCI CI Polygraph required. Location/Flexibility: National Capitol Region, Vienna, VA, hybrid government and contractor facilities with remote flexibility based on program needs. Responsibilities: The role will act as Technical Lead on projects, providing technical guidance and oversight to the project execution team in collaboration with our Program Manager. By joining our team, you'll be part of a dynamic and collaborative environment where creativity, innovation, and technical expertise come together to drive business success. You'll lead cross-functional teams to: Develop AI-ready data architectures : Design and implement data structures that enable seamless integration with AI and ML technologies Drive business outcomes : Collaborate with stakeholders to identify opportunities for data-driven decision making and develop solutions that drive business growth and optimization Stay up to date with the latest advancements : Participate in ongoing research and development to ensure our solutions remain at the cutting edge of technology Successful candidate will bring demonstrated expertise in a variety of programming languages, frameworks, and tools, such as JavaScript, Angular, HTML, CSS, XML, JSON, Databases (e.g., Neo4j, MongoDB, Redis), ElasticSearch, Solr, SQL, Node.js, Python, Large Language Models (LLMs), Natural Language Processing (NLP), and Tableau The position will also ensure alignment between project activities and accepted scope, negotiate with the customers, vendors, and other partners on changes to scope. This role will own full end-to-end delivery of products and will also be responsible for leading team members of varying professional levels. Qualifications: BS in Computer Science, Engineering, or equivalent Clearance: TS/SCI and CI Polygraph 10+ Years of experience in IT industry with at least 2 years in Technical Lead position May substitute years of experience with more advanced education credentials (i.e., MS) Experience with Node.js, Typescript, SQL, PostgreSQL, Redis, ElasticSearch, and cloud database architectures Neo4j AuraDB, Amazon Neptune, JanusGraph (or equivalent technologies) highly desired Physical Requirements: Prolonged periods of sitting at a desk and working on a computer Must be able to lift 10-15 pounds at times. #CJ About NT Concepts Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end ​data and technology solutions ​that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving. Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients’ most critical challenges. Here, you’ll  gain competitive benefits , opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack , which paves the way for positive social change. If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we’d love to have you move forward with us.  

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description We are looking for a Data Engineer who specializes in managing and optimizing data pipelines, with a specific focus on AI/ML data and applications. The ideal candidate will have experience in designing and implementing data infrastructure, ensuring high-quality labeled datasets, and collaborating with cross-functional teams to support our computer vision initiatives. Responsibilities  Manage data releases, tracking data provenance, evaluating data quality, providing data insight reporting. Contribute to  scalable data and labeling pipelines for computer vision projects. Manage and optimize data storage solutions to ensure efficient data retrieval and processing. Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to project timelines. Collaborate with machine learning engineers and other data/infrastructure engineers to understand data requirements and ensure the availability of high-quality labeled datasets. Stretch: Develop and maintain tools and processes for data labeling, including annotation workflows, quality control, and validation procedure. Requirements Bachelor’s in Computer Science, Data Engineering, and 2+ years of experience in a related field. Strong Python and SQL; Good software development fundamentals a must. Experience as a Data Engineer, working with data pipelines.  Proficiency with: Data modeling ETL processes and data pipeline operations  OLTP databases (e.g. Postgresql) OLAP databases (e.g. ClickHouse) Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work effectively in a collaborative team environment. Strong Plus Experience with evaluation of ML models. Experience developing evaluation frameworks.  Nice to have Bonus points for experience with: Data pipelines for computer vision applications. Data labeling. Workflow orchestration tools, particularly Dagster. Distributed computing frameworks (Apache Spark, Dask). Containerization technologies (e.g. Docker). Job scheduling systems (e.g. Slurm). Compensation: The estimated salary range for this position is $124,227 to $157,001 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more. Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.  Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements All job offers at Acubed are contingent upon the candidate passing references, background and export control checks. * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.  

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description As Wayfinder's Senior AI Engineer (Computer Vision, Data Quality), you will be pivotal in driving the performance of our AI systems, reporting to the Manager of AI Algorithms. You will take ownership of critical data pipelines, spearheading efforts to enhance data quality, understanding, and efficiency, including the development and implementation of advanced auto-labeling solutions. You will quickly prototype new projects, and take the promising ones to production. Role Responsibilities Analyze and improve data quality and distribution for vision-based flight ML models, identifying and mitigating biases and gaps, specifically addressing challenges related to image data. Implement data mining and active learning strategies to curate high-quality computer vision datasets and optimize labeling efforts and training efficiency. Conduct rigorous evaluations of data and labeling quality, assessing effectiveness, efficiency of training and accuracy and coverage of testing. Develop and deploy automated data labeling pipelines including using foundation models (VLMs), big ML models, and traditional Computer Vision, ensuring accuracy and scalability. Develop  metrics, visualization, and validation to improve data pipelines. Write high quality, product level code that is easy to maintain and test following standard methodologies. Collaborate with multiple teams (Data/Labeling, Validation), and ML teams in the global Airbus Organization. Qualifications Master's degree (or equivalent industry experience) in computer science or a related discipline and 7 or more years of relevant experience  5+ years of industry experience working as a CV/ML perception software engineer in the field of autonomous vehicles, robotics, or related fields Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) Experience in data auto labeling and active learning pipelines  for production Extensive experience in Python Good communication skills Good To Have Passion for aviation and autonomous systems Experience with LLM/VLM, OpenVocabulary Vision models, RL, and other emerging ML technologies Experience with data pipelines and visualization of embeddings, similarity/uniqueness, natural language search Compensation: The estimated salary range for this position is $156,000 to $195,000 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more.  Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year. Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements All job offers at Acubed are contingent upon the candidate passing references, background and export control checks. * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

We are looking for a freelance Data Strategy Director to support a key creative and media client here at Deutsch. WHAT YOU’D DO Work closely with media planning, paid social, social strategy, and content strategy teams to define KPIs and key metrics to develop measurement plans and test & learn plans Interpret and analyze marketing data from a variety of sources: paid media campaigns, site analytics, social listening, etc.. Partner with cross-functional teams to define business questions, identify data sources, interpret trends and patterns in data to drive marketing strategies Provide internal and external teams with deep and actionable audience, creative and platform insights Translate data analyses into clear and understandable conclusions and recommendations for non-technical stakeholders Present analysis and reports to clients and internal stake holders Work daily with: Excel, PowerPoint, social media platforms, web analytics, python-based reporting framework etc.,     WHAT YOU’VE GOT 8+ years experience in marketing analytics, media analytics, or consulting preferred 2+ years of proven managerial or supervisory experience of a data analytics team Strong understanding of digital & social marketing, web analytics, and business analysis Strong analytics skills, enjoys numbers and using data to solve business problems Strong communication and presentation skills: written, verbal and in PowerPoint presentations Experience with reporting and data visualization tools (e.g. Tableau, Google Data Studio) Experience with social and web analytics for both reporting and tag/pixel implementation: Google Analytics, Adobe Analytics, Google/Adobe Tag manager, social audience insights, etc. Experience with analytical programming languages: Python preferred (pandas/anaconda), R, SPSS, SAS as well as Git for source control Experience with social listening and social media management tools; Crimson Hexagon, Sprinklr, etc.   WHAT WE’VE GOT (that you can’t find out on the internet) We’re nice people.  Seriously.  Some of the most ego-less and collaborative people you’ll find in this business. We don’t work in silos. We thrive on collaboration, both internally and externally. We’re always looking to learn. From our peers, from the competitors, and from our clients, we’re always looking for what’s coming next. The hourly rate for this New York based position is $90.00-$100.00. Approx. 20 hrs/week.   WHAT WE’VE GOT (that you can’t find out on the internet): We’re nice people. Seriously. Some of the most ego-less and collaborative people you’ll find in this business. We don’t work in silos. We thrive on collaboration, both internally and externally. We’re always looking to learn. From our peers, from the competitors, and from our clients, we’re always looking for what’s coming next. We take our work seriously but believe weekends, vacations and thinking space outside the office make you  better at your job, not worse. Base salary range for this role:  *If you are a California resident, your application submission is subject to the  California Privacy Notice Deutsch is an equal opportunity employer.  All qualified applicants will receive consideration for the position without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We're looking for a Senior Software Engineer with a focus on healthcare data and at least 5 years of general engineering experience who wants to make an impact leading our new Clinical Data team. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get reimagining last-mile healthcare delivery. *If you want to tackle tough technical challenges* , we want to talk to you. Health tech is challenging enough on its own, but add in DoorDash-style logistics problems at scale and the constraints of a distributed labor force working in patients’ homes and things get interesting quickly. We need someone to help solve the hard problems like how to: 🔍 Uncover care gaps and predict future risk with deep analysis of patient records 📝 Synthesize rich, pre-visit clinical summaries for our NPs using LLMs over past patient records 📊 Harmonize reporting of engagement and in-home visits for millions of patients across the largest US health plans 🤖 Detect and prevent medical data errors with automated validation and anomaly detection 🏗️ Build Sprinter’s data warehouse from the ground up to unify vast clinical, operational and logistics data If any of these sound interesting, Sprinter could be the right place for you. This is your chance to build something truly 0 to 1 at a company with meteoric growth. Since just 2021, we've grown to: 👥 >50k patients served 🚀 6x revenue growth last year, 5x the year before 🌍 >60% coverage of the US population 🏥 6 of the 10 largest US health plans 🏦 >$70M raised from a16z, General Catalyst, GV, and Accel *If you want to grow faster than you ever could at a big company* , we want to talk to you. If you're a fellow industry veteran looking to get in at the ground floor of something big, taking on radically larger scope and growing with the company, the best way to do so is with real responsibility to make real decisions. As one of the lead engineers at Sprinter, you'll have that while working alongside other engineers and product managers from the likes of Google, Meta, and Amazon. With industry-leading growth to date and plenty of room still to grow, getting in now is a recipe for success. *If you want to make a difference* , we want to talk to you. Jeffrey Hammerbacher was right: "The best minds of my generation are thinking about how to make people click ads. That sucks." I've done the Google and Facebook thing for a decade. Was it personally rewarding? Absolutely. But now I want to do something more directly for others, which is why I started this company. If any of this sounds like something you'd want to be a part of, just let me know. I'd really love to chat. Cameron, Co-founder / CTO Software Engineering & Data Integration Full-stack experience, backend-focused. Proficiency in Python or JavaScript/TypeScript (Preferred). Third-party data integration: Normalization, standardization, and harmonization of inbound data; outbound translation to customer-specific formats. Data Systems & Databases Experience with BigQuery, DBT, Airflow, AWS Glue, or similar ETL/ELT tools. Scalable & high-performance data systems: Designing, building, and optimizing data architecture, queries, pipelines, and integrations. Observability: Monitoring & alerting best practices. Database expertise: Relational, key-value, columnar, document, vector, inverted index, and in-memory databases. Data warehouse schema design (Nice to have). Healthcare Data Administrative: Claims processing OR Clinical: EHR data, FHIR, HL7, C-CDA standards. Technical Leadership & People Management Technical leadership: Successfully led technical team project implementations. Mentorship & coaching: Ability to guide and develop engineers. Work delegation & execution: Breaking down and distributing tasks effectively. People management experience (Nice to have). Technologies ETL/ELT: AWS Glue, Airflow, or similar tools. Datastores: BigQuery, ELK Stack, DynamoDB, other data warehousing tech. Data exchange/integration: Mirth Connect or similar tools. The Fun Stuff™ Free lunch every day and fully-stocked micro-kitchen and coffee/tea bar Team offsites, game hours, tech talks, and design sprints Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid) Dental / vision/wellness benefits 401k matching Unlimited PTO Flexible work-from-home policy for work/life balance (3 days in-office, accommodation for occasional WFH days) Relocation assistance Generous parental leave (4 months for the birthing parent, 2 months for a partner, 100% paid) Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include equity or benefits. This is a hybrid role with a 3-day-a-week in-office requirement in Menlo Park, California. While we are flexible with occasional work from home, we've built an incredible group of people who enjoy the team environment we've created, and our engineering, product, and design organizations are all currently co-located in the Bay Area. If you are inspired by our mission and think you could have an impact on us achieving it, but currently sit outside of these role expectations, we encourage you to still get in touch.

Who We Are Qvest.US is the global leader in technology and business consulting for media, entertainment, consumer packaged goods and retail. We bring our clients closer to their customers, data, and content. With a global footprint across five continents, we have deep expertise across Program Management, Digital Media Supply Chain, IP & Rights Management, Data & Analytics, GenAI/ML, Customer Experience and Salesforce, Content Security, & Media Transformation. Who We're Seeking Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders. What You'll Do Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations Proactively identify risks, issues and provide mitigation strategies Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement What You'll Bring Eagerness to help build and lead a best-in-class data practice 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment Experience with project planning, including tasks, budgeting, resource allocation and balancing 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar Experience designing and building relational database and/or data warehouses Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience A solid understanding of key BI trends and the BI vendor landscape Experience in Media & Entertainment and/or Consumer Products industries Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC) Cloud computing experience, whether with AWS or other vendors Ability to understand/design small-to-medium size data architectures Ability to automate data-related tasks using scripts and programming languages Ability to profile, explore, and analyze data to identify common data patterns Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields Familiarity with dbt ( https://getdbt.com ) Life at Qvest We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest.US is currently 350+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment Opportunity Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

About Clear Street: Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.  We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.  By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets. The Team:  The FACT team is responsible for several key data products which enable Clear Street’s systems and personnel to operate with confidence and speed. These products include security and pricing master, corporate actions, and streaming market data as well as a number of other key reference datasets. The FACT team takes on the task of collecting inputs from various sources including vendors, public sources, and internal teams and organizing them into cohesive data products which serve as the authoritative source of reference data within the firm. The Role:  We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for various asset classes such as equities, options, futures, and more. You will play a key role in designing, developing, and optimizing data pipelines that handle large volumes of data with low latency and high throughput, ensuring that our systems can process and deliver market data in real time. As a Software Engineer in the FACT team, you will work closely with high-impact teams to design and implement cutting-edge solutions that support our trading, analytics, and financial data products. You will play a key role in the design and implementation of key components that support Clear Street’s continued expansion into global markets. The ideal candidate will have a strong background in building low-latency, high-throughput systems, as well as a deep understanding of financial market data structures and processes. Knowledge or direct experience working with market data feed handlers from exchanges is a significant advantage. Key Responsibilities: Design, develop, and maintain real-time data pipelines to handle financial market data with low latency and high throughput in a resilient manner. Work with various asset classes such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing. Collaborate with product, trading, and risk teams to understand requirements and deliver high-quality solutions that meet business needs. Develop efficient mechanisms for integrating market data feeds from exchanges and other sources into our systems. Troubleshoot and resolve performance issues, data discrepancies, and ensure data integrity across the pipeline. Continuously monitor the performance and health of data pipelines, identifying and mitigating potential issues before they impact system performance. Requirements: You have 5+ years of professional experience implementing low-latency, high-throughput data pipelines Solid understanding of distributed systems and the challenges involved in real-time data pipelines (e.g., data consistency, fault tolerance, scalability). Familiarity with financial market data, including security prices, and asset classes like equities, options, futures, etc. Strong familiarity with Linux/BSD Familiarity with TCP/IP and UDP (Unicast/Multicast) networking You communicate technical ideas with ease and always look to collaborate to deliver high quality products. You are a team player, with experience working effectively with other engineers toward common goals Nice To Haves: Experience with system profiling with eBPF Experience with columnar storage and database systems  Kernel bypass networking (DPDK or XDP) Provisioning and configuration of routing in the cloud or on-premise, including BGP, VPCs, network peering Experience with Aeron   FACT Team Stack: C++, Rust, Go, Java, Python, gRPC, PostgreSQL, Snowflake, Kafka, Kubernetes We offer : The opportunity to join a small and growing team of good people, where you can make a difference. A new, high-quality code base with little technical debt and room to build new services and features. An environment that embraces the utility of a DevOps oriented culture and combines it with a focus on CI/CD methodology. A meritocratic philosophy that champions collaboration. Competitive compensation, benefits, and perks. We are considering Senior or Staff-level candidates for this role. The Mid Level Base Salary Range is $140,000 - $190,000. The Senior Level Base Salary Range is $170,000 - $240,000. These ranges are representative of the starting base salaries for this role at Clear Street. Which range a candidate fits into and where a candidate falls in the range will be based on job related factors such as relevant experience, skills, and location. These ranges represent Base Salary only, which is just one element of Clear Street's total compensation. The ranges stated do not include other factors of total compensation such as bonuses or equity. At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, beginning on January 2, 2023, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views. Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.