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Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). Requirements Must have a valid Driver License (driving experience, 1-2 yrs minimum) Must have parking for a vehicle Must be authorized to work in the US Must pass the background check Enjoys driving, with flexible schedule Available for a minimum of 3 months Responsible & Reliable Good driving skills Great communication skills High level of responsibility General car knowledge Tech savvy (smartphone and basic apps) Basic computer skills Self-motivated and detailed oriented We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

We are looking for a Data Coordinator, who will be responsible for managing disk lifecycle and ingest operations in alignment with operational requirements. This includes overseeing disk procurement, allocation, tracking lost/found disks, scrapping, and shipment. Additionally, they monitor data upload and segregation processes to ensure efficiency and accuracy. The role also involves team coordination through conflict resolution, task delegation, goal setting, time management, and resource allocation. Effective stakeholder management is key, as the Data Coordinator communicates updates and statuses to internal teams and clients, ensuring seamless operations and alignment with business objectives. Core competencies: Excellent interpersonal and communication skills with the ability to operate and communicate effectively with people at all levels of the business. Comfortable with a rapidly-changing environment Strong problem-solving skills and excellent attention to detail Able to work independently, motivated, proactive attitude with a passion for learning and creative problem solving Candidate Qualification: High school graduate or equivalent; 5+ years of experience in Hardware Operations and Global Coordination domain; 3-5 years of experience in vendor management, warehouse/facilities management, logistics; Tech Savy Knowledge about how to handle data center issues; Mandatory hands-on in Excel; Client Management; Mandatory BGV clearance.

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will. Requirements Must have a valid Driver License (driving experience, 1-2 yrs minimum) Must have parking for a vehicle Must be authorized to work in the US Must pass the background check Enjoys driving, with flexible schedule Available for a minimum of 3 months Responsible & Reliable Good driving skills Great communication skills High level of responsibility General car knowledge Tech savvy (smartphone and basic apps) Basic computer skills Self-motivated and detailed oriented We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

General Description: We are seeking a candidate to join an effort developing semiconductor, spin quantum bit devices and mature the project by improving device yield analysis software and database infrastructure Essential Duties: The candidate will develop database infrastructure to store data from electrical measurements collected at various cryogenic temperatures, inline fabrication metrology, and device designs. The individual will then develop software to relate device yield to fabrication processes and designs. The role involves using databases to extract critical information and statistical data analysis. The position requires frequent technical communication with team members, including oral and written reporting, a strong work ethic, enjoyment of problem solving, and a natural scientific curiosity. Required Skills: Experience with python programming and best practices, including object oriented programming principles, version control, data structures, unit testing Experience writing SQL queries for large datasets Statistical analysis and design of experiments Understanding of cleanroom fabrication equipment and processes Semiconductor device physics Reporting and documentation of test results with emphasis on statistical analysis, data visualization, trending. Experience generating data dashboards a plus. Python instrument control is desired SQL Table design is desired Failure analysis, including materials characterization techniques is desired Required Education: Bachelor's degree plus 5+ years of experience or Master’s degree plus 3+ years of relevant experience in semiconductor yield engineering field. Candidates with different experience levels will be considered for other positions. Special Requirements: US Citizenship. Ability to obtain and maintain US Government Security Clearance. Compensation: The base salary range for this full-time position is $120,715 - $150,895 + bonus + benefits. 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. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits. We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

San Francisco or New York City Anrok is the leading AI-driven tax automation platform enabling businesses to expand globally without compliance complexity. As the digital economy has grown 6x over the last decade, software businesses have gone from not worrying about sales tax to needing to monitor exposure, calculate rates, and file returns across 20+ US states and many countries worldwide. This creates a critical bottleneck for companies that should be able to transact with customers everywhere. Anrok eliminates this complexity by connecting with billing and payment systems to automate tax monitoring, calculations, and filing end-to-end. Our unified platform handles the ever-changing maze of tax laws at municipal, state, and federal levels—so companies can focus on growth, not compliance. Our customers include: 40% of Forbes Top 50 AI companies 20% of Forbes Top 100 Cloud companies Top companies like Notion, Anthropic, and Cursor We're making compliant digital commerce a reality for companies big and small, backed by over $100M from leading investors including Sequoia, Index, and Khosla Ventures. We’re looking for a proactive and detail-oriented Data Analyst to become Anrok’s first dedicated analytics hire, taking ownership of our analytics program and evolving the metrics and frameworks that guide the business. You’ll analyze customer behavior and lifecycle trends to surface opportunities that improve product experience, onboarding, and retention, while serving as the trusted partner across teams to keep data accurate, actionable, and accessible. This is a foundational role at a pivotal stage in our growth, ideal for someone who thrives in a hands-on environment and wants to scale a data function that underpins the entire company. In this role, you will Own and scale our analytics stack, ensuring every team can reliably act on trusted data Build and maintain dashboards and workflows that serve as the company’s single source of truth Define and govern KPIs across teams, driving metric consistency, accuracy, and trust Partner with stakeholders to measure product performance, onboarding flows, and customer engagement, identifying opportunities to drive growth, adoption and retention Collaborate with engineering to improve pipelines and models, ensuring scalable and reliable analytics without sacrificing data quality Conduct deep-dive and ad hoc analyses to validate hypotheses, uncover growth levers, and support strategic decisions Translate insights into clear narratives for leadership and foster data literacy across teams, making analyses accessible and actionable What excites us 4+ years of experience in data analytics, business intelligence, or a related role (high-growth SaaS / fintech preferred) Fluency in SQL and experience with BI / visualization tools to analyze and present large datasets Experience optimizing data models and pipelines, and using scripting languages to automate workflows and scale analytics Strong communication and storytelling skills - able to translate analysis into clear insights that drive decisions High ownership mindset with the ability to operate independently and thrive in ambiguity Bonus : experience with SaaS/recurring revenue metrics (ARR, churn, LTV, payback) What we offer The equity upside of an early-stage startup with the product-market fit of a later-stage company. Daily lunch and snacks for those working out of our office hubs. Medical, dental, and vision insurance covered 100%. One Medical membership covered, flexible sick benefits, and more. Annual learning and development stipend for books, online courses, and conferences, as well as a curious team to share your learnings with. Annual team off-sites and in-person opportunities around our growing Anrok hubs. Home office setup stipend to ensure you have the equipment you need to thrive at work. At Anrok, we embrace a dynamic and flexible hybrid work environment based out of our growing office hubs - San Francisco, New York City, and Salt Lake City where we collaborate in-person 3 days per week. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Anrok recruiters will only reach out via LinkedIn or email with an anrok.com domain. Any outreach claiming to be from Anrok via other sources should be ignored.

About Us Move money. Make money. Finix is a full-stack acquirer processor, empowering businesses of all sizes with flexible, modern payment solutions. Processing billions of dollars annually, Finix enables SaaS, marketplace, and e-commerce platforms to accept payments, manage payouts, and onboard merchants seamlessly. With our no-code, low-code, and developer-friendly tools, businesses can get up and running in hours—not months. Finix has raised over $175M, including a $75M Series C led by Acrew Capital, with participation from Lightspeed Venture Partners, Leap Global, American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Sequoia Capital, Visa, and others. About the Role Finix’s reporting cluster is the source of truth for operational metrics, customer-facing reports, billing, actionable insights, and a host of business-critical KPIs. As a Data Engineer in the Data Engineering team, you will own the tooling, frameworks, data pipelines, integrations, databases, schemas and the data integrity of this cluster. You are critical to both Finix, and our customers, in supplying the data that underpins key operations decisions, uncovers hidden issues, and powers insight through reports, analytics, and dashboards owned and managed by the Data Engineering team. Our operations teams will depend on you to find, source, prepare and supply the right data allowing them to run Finix. Our product team will depend on you to serve the right data quickly and reliably to our customers so they can make timely business decisions. Data Analysts will rely on you to source and channel data where it needs to be and how it needs to be organized to power daily operations and decisions. You will Enable our operations team to make data-driven decisions based on timely, consistent, complete, and correct data, reports, and analytics Work closely with engineering team members to build reporting and analytics infrastructure, solving our and our customer’s analytics needs Delight our customers by providing leading reporting and analytics capabilities supporting their operations and accounting teams Be the subject matter expert in all things data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data Design, build and maintain all code, pipelines, schemas, databases and frameworks that power Finix’s data analytics and reporting capabilities You are Detail-oriented, with a healthy dose of mistrust, driving you to investigate even the slightest data discrepancy Thrive in a fast-paced environment around common goals and priorities but able to self-direct and problem solve with others to make progress Fast learner of new languages, tools & frameworks. You are willing to go wherever necessary to accomplish your goals even if you haven’t been there before. Curious about new approaches and pushing the boundaries of what exists. You have 6+ years of experience in a Data Engineering, ETL, Data Science or related role Expert knowledge of SQL, data modeling, Python and frameworks such as Spark, Storm, Airflow, Glue etc. Java would also be great B.S in computer science, mathematics, statistics, physics, or a related data field Experience with BI tools such as Looker, Sisense, Superset, Tableau ----------------------------------------- Finix is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class. Role: Data Engineer IV Level: IC4 Location: San Francisco, CA 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 at our headquarters in San Francisco, California. Individual pay is determined by work location, job related skills, experience, and relevant education or training.

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About the Role Redhorse Corporation is seeking a highly skilled Data Engineer to support the Defense Intelligence Agency (DIA) in advancing Combatant Command mission integration. This critical role directly impacts national security by designing and implementing robust data solutions that enable data-driven decision-making within the Department of Defense (DoD). You will be at the forefront of AI/ML and data-driven initiatives, assessing and enhancing technology integration across Combatant Commands. This position offers significant opportunity to shape the future of DoD data management and analytics. Frequent travel is required. Key Responsibilities Support the configuration and ingestion of structured, unstructured, and semi-structured data repositories into capabilities meeting mission partner requirements, supporting a data analytics and DevOps pipeline for rapid delivery of functionality. Maintain all operational aspects of data transfers, accounting for the security posture of the underlying infrastructure and supported systems and applications; monitor environmental health using various tracking capabilities. Automate configuration management, leverage appropriate tools, and stay current on ETL technologies and services. Work under general guidance, demonstrating initiative to develop solutions independently; review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to improve environmental health. Apply comprehension of data engineering technologies and services, leveraging database expertise and various data structuring and retrieval approaches; comprehend cloud architectural constructs and support programmatic Cloud environment establishment and maintenance using vendor consoles. Engage with multiple functional groups to understand client challenges, prototype new ideas and technologies, create solutions to drive innovation, and design, implement, schedule, test, and deploy full features and components of solutions. Identify and implement scalable and efficient coding solutions. Required Experience/Clearance Bachelor’s degree plus 5+ years of experience, or a Master’s degree plus 3+ years of experience. Experience with big data systems, including Apache Spark and Databricks. Experience with ETL processes. Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0. Experience engineering data pipelines across multiple security domains/classified networks. Experience with multiple coding languages, including Python. Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility and CI polygraph. Desired Experience Experience with GitLab and Jira. Experience with containerization technologies (Docker, Kubernetes). Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with Agile methodologies. Master's degree in Computer Science, Data Science, or a related field. Equal Opportunity Employer/Veterans/Disabled Accommodations: If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About the Role Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a highly skilled Senior-Level Data Engineer to join our team supporting the Chief Digital and Artificial Intelligence Office (CDAO). You will play a critical role in advancing data-driven decision-making across the DoD, designing and implementing robust data solutions that directly impact national security initiatives and investments. This is a high-impact position offering significant opportunity to shape the future of DoD data management and analytics. Key Responsibilities Support the configuration and ingestion of structured, unstructured, and semi-structured data repositories into capabilities meeting mission partner requirements, supporting a data analytics and DevOps pipeline for rapid delivery of functionality. Maintain all operational aspects of data transfers, accounting for the security posture of the underlying infrastructure and supported systems and applications; monitor environmental health using various tracking capabilities. Automate configuration management, leverage appropriate tools, and stay current on ETL technologies and services. Work under general guidance, demonstrating initiative to develop solutions independently; review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to improve environmental health. Apply comprehension of data engineering technologies and services, leveraging database expertise and various data structuring and retrieval approaches; comprehend cloud architectural constructs and support programmatic Cloud environment establishment and maintenance using vendor consoles. Engage with multiple functional groups to understand client challenges, prototype new ideas and technologies, create solutions to drive innovation, and design, implement, schedule, test, and deploy full features and components of solutions. Identify and implement scalable and efficient coding solutions. Apply DoD Security Technical Implementation Guides (STIGs) and automate that process. Required Experience/Clearance Bachelor’s degree plus 7+ years of experience, or a Master’s degree plus 5 years of experience. Experience with big data systems, including Apache Spark and Databricks. Experience with ETL processes. Experience with the Advana Data Environment. Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0. Experience engineering data pipelines across multiple security domains/classified networks. Experience with multiple coding languages. Active Secret security clearance. Equal Opportunity Employer/Veterans/Disabled Accommodations: If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

The Massachusetts School Building Authority (MSBA) is a quasi-independent government authority created to reform the process of funding capital improvement projects in the Commonwealth’s public schools. The MSBA strives to work with local communities to create affordable, sustainable, and energy efficient schools across Massachusetts. The Data Team works across the agency and within the Capital Planning department to improve accessibility to data, collect data, and provide sound analysis for use by MSBA staff and leadership in decision making, policy development, stakeholder engagement, operations, and long-term capital planning. We are pleased to offer a Capital Planning Data Assistant (Co-op) position for the Spring Semester . This role provides students with the opportunity to apply classroom learning to real-world challenges in public administration, construction, and capital planning for educational facilities. As the Data Team Co-op, you can expect to experience: Real-world impact: You will contribute to projects that shape the future of public school facilities in Massachusetts. Skill Building: You will work with a qualified team to develop your expertise in data analysis, visualization, and applied research in policy administration, public funding, and construction. Cross-disciplinary exposure: You will collaborate with MSBA staff, and external partners, working with architects, construction project managers, UX designers, IT professionals, education professionals, and more. Public policy development: Through work on your projects and interaction with MSBA leadership, you will gain insight into how decisions are made at the intersection of data, design, and policy. Compensation: The position is a paid, full-time opportunity for up to 6 months. Responsibilities include: Supporting MSBA project managers and architects with data-driven analysis and reporting. Assisting in the development of tools and databases that track project costs, timelines, and capital planning initiatives. Preparing reports, dashboards, and presentations to inform leadership and stakeholders. Assisting with information gathering to support ongoing projects and policy initiatives. Supporting consultants in the development of the MSBA Data Master Plan by gathering and organizing information from MSBA staff and to inform the consultant team’s work. Who should apply: Students currently enrolled in a Bachelor’s or Master’s degree program in data, analytics, public policy analysis, urban and regional planning, or a related field. Strong analytical and communication skills with a high level of attention to detail. Familiarity with Tableau, Excel, PowerBI, Word, and PowerPoint (or willingness to learn). Highly motivated, organized, and able to manage multiple priorities. GPA of 3.2 or higher preferred. Details: Ability to work hybrid work schedule - minimum of two (2) in-office days per week $18 - $19 an hour Qualified and interested? Apply now! For more information and to learn more of what we do, please visit the www.massschoolbuildings.org .

As a Senior Data Analyst, you will play a critical role in driving data-based decision-making across the organization. You will be responsible for analyzing and interpreting complex data sets, designing and implementing data-driven strategies, and delivering actionable insights to stakeholders at all levels of the organization. You will work closely with cross-functional teams [AB1] to identify areas of opportunity and make recommendations that drive growth and optimize performance. The role contributes to The Bouq’s mission of revolutionizing the way we commemorate life’s moments by connecting people to beautifully designed floral experiences and the responsible partners who create them. Responsibilities: Develop and maintain a deep understanding of our business and the data that drives it Analyze and interpret complex data sets using statistical and visualization techniques through SQL and Tableau Partner cross-functionally with stakeholders to identify areas of opportunity, drive actionable metrics, and make recommendations that move the business forward Develop and maintain dashboards that provide stakeholders with actionable insights Conduct extensive investigates to research and resolve data issues Partner closely with the Analytics Engineer on optimal data structures to support existing and new business ventures Develop SQL that is both high-performance and easy for teammates to maintain, review, and enhance Build actionable and easy to digest visuals, while also ensuring that data can scale and point back to a single source of truth Develop and communicate strong opinions about best practices in analytics Stay up-to-date with industry trends and best practices in data analysis and visualization, while helping explore and evaluate new technologies Qualifications: 4+ years of experience in a data analysis role, preferably in an ecommerce or related field Bachelor's degree in a quantitative field such as statistics, mathematics, economics, or computer science Strong SQL fluency in both DDL/DML and analytics (Snowflake experience is a plus) Robust analytical and problem-solving skills with the ability to analyze and interpret complex data sets Experience pairing basic design principles with data visualizations tools (e.g. Tableau) to provide clear, easy to understand insights Excellent communication and presentation skills with the ability to convey technical concepts to non-technical stakeholders Able to take complex data findings, and simplify them to digestible, easy to understand information for our stakeholders Capable of working independently and collaboratively in a fast-paced, dynamic environment Able to make deliberate decisions on best execution strategy, while understanding and communicating tradeoffs, leading to streamlined, scalable solutions that satisfy technical, analytical, and stakeholder goals Understands that perfect is the enemy of good, and can produce valuable insights on imperfect data, allowing us to provide deliverables in a fast-paced, startup environment. Strong attention to detail with the ability to manage multiple projects simultaneously Knowledge and understanding of data infrastructure, including the relationship between backend engineering changes, data pipelines, data warehouse, and visual reporting tools Experience with Fivetran, GitHub, DBT, and Funnel.io is a plus Experience with JSON is a plus Compensation & Perks: Competitive Base Salary Range of $110,000.00 - $130,000.00 USD + Equity Package Health, Dental & Vision with 100% employee coverage 401k Matching Three Weeks Paid Vacation Discounts on The World’s Best Flowers (obviously!)

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About Tendo Make an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor’s degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 7+ years of experience in data analysis software, with data science experience preferred. 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems—ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range $157,250-$212,750 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

As a Senior Data Analyst, you will play a crucial role in the creation and enhancement of financial and operational analytics and in identifying opportunities for Tendo customers to better understand and improve these functions. This will require you to leverage your expertise in healthcare finance and Electronic Health Record (EHR) reporting to synthesize data and provide insights that can drive change. You will be responsible for curating data sets, organizing information, and collaborating with both the Tendo Team as well as the customer to develop and maintain data extracts, interactive reports, dashboards, predictive models, and self-service products. Additionally, you will be responsible for preparing materials for presentations to customers and facilitating ongoing customer engagement. Your contributions will directly impact the success of our customers and our team. About Tendo Make an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Gather requirements and perform data sourcing, cleaning, and quality assurance of data output. Build, automate, and maintain data extracts, reports, dashboards, self-service products, data marts, and predictive models/applications. Act as a single point of contact and support the needs of both the Corporate and Patient Finance Teams of Tendo’s customers. Requirements 5+ years of experience working in data analytics or healthcare finance. 5+ years of professional experience working with Electronic Health Record (EHR) Analytics (Epic Clarity and Caboodle). Bachelor’s in Computer or Data Science, Engineering, Business/Finance, or Health Sciences OR Master’s in Public Health, Data Science, Business Administration, or Statistics OR Relevant work experience and portfolio of projects. Use and configuration of business intelligence tools (Power BI, Business Objects: Crystal Reports, Universe, and Web intelligence tool preferred). Proficiency in SQL querying and data manipulation, including Stored Procedures and Query optimization (Microsoft preferred). Must be able to work independently and in a team setting. Knowledge of Clinical Documentation in EHR and the ability to extract data based on workflow description. Excellent communication skills. Proven excellence in working simultaneously with multiple clients and on multiple projects. Nice to Have Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean). Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.). Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, and LOINC. Experience with Delta Lake and/or Databricks. Experience using Apache Spark (PySpark or Scala). Experience with machine learning workflows and data requirements for use with ML frameworks. Base Salary Range $97,750 - $132,250 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

As a Senior Data Engineer, you will work within the Engineering team and contribute to Tendo’s strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with Tendo’s Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo’s customers. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design and a demonstrated interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare. About Tendo Make an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis. Optimize data infrastructure and processes to ensure optimal performance and scalability. Develop and maintain data documentation and data lineage. Stay current with emerging technologies and industry trends related to data engineering. Requirements 5+ years of experience in data engineering. Extensive experience in the design, build, and maintenance of data ETL pipelines. Extensive knowledge of coding in Python or Scala with a focus on data processing. Experience using Apache Spark (PySpark or Scala). Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.). Experience with data and entity relationship modeling to support data warehouses and analytics solutions. Deep understanding of relational and non-relational databases (SQL/NOSQL). Comfortable working with unstructured and semi-structured data (Web scraping). Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean). Basic data privacy and security principles. Interest and/or experience in AI/ML applications, including support for model development or deployment workflows. Proactive mindset around exploring emerging technologies in AI and data science to drive innovation. Nice to Have Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Experience with Delta Lake and/or Databricks. Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation. Experience with machine learning workflows and data requirements for use with ML frameworks. Experience validating data quality, preferably with test automation. Experience with containerization using Docker. Base Salary Range $117,300-$158,700 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Palantir Data Engineer The Opportunity: Booz Allen is seeking a Palantir Data Engineer to support mission-critical projects leveraging Palantir Foundry. In this role, you will work closely with stakeholders to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. You’ll contribute to the full sof tware development lifecycle, from requirements gathering to deployment and maintenance. What You'll Work On: Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data. Build modular applications and workflows leveraging TypeScript, Python, and Foundry AIP. Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ontology mapping. Utilize code repositories such as Git to manage and version control development efforts. Assist in Foundry workshops to guide stakeholders through platform capabilities. Support testing, debugging, and performance tuning of Foundry applications. Work in Agile development environments, contributing to sprint planning and retrospectives. Join us. The world can't wait. You Have: 5+ years of experience with data engineering, including application or sof tware development 2+ years of experience with Palantir Foundry Experience with Python or TypeScript Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem Experience with Git-based code repositories and CI / CD workflows Ability to work in fast-paced, Agile environments Secret clearance Bachelor's degree Nice If You Have: Experience working in mission-oriented analytics or logistics-based data environments Experience with data modeling, ontology mapping, or data visualization within Foundry Knowledge of DevSecOps best practices and sof tware lifecycle methodologies Possession of excellent problem-solving skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.