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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come. The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. What you’ll do Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow. Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake. Partner with upstream engineering teams to enhance data generation patterns. Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models. Ideate and contribute to shared data engineering tooling and standards. Define and promote data engineering best practices across the company. What you bring 5+ years of professional experience building end-to-end data pipelines Proven ability to implement software engineering-caliber code (preferably Python) Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc) Strong SQL (Presto, Spark SQL, etc) skills. Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms) Expert collaborator with the ability to democratize data through actionable insights and solutions. What we offer Market competitive and pay equity-focused compensation structure 100% paid health insurance for employees with 90% coverage for dependents Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits Dedicated mental health support for employees and eligible dependents Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $198,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $174,600 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $154,800 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, empowering teams to learn quickly and make confident decisions. The team’s work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood. As a Data Scientist on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making. Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. Assist with established methods, standard approaches, and promote a data-informed culture within the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Axsome Therapeutics, Inc. is a biopharmaceutical company developing and delivering novel therapies for the management of central nervous system (CNS) disorders. The Axsome team is a lean, dynamic group of individuals committed to addressing unmet needs for patients with CNS disorders. Axsome is based in New York City. About This Role: Axsome Therapeutics is seeking a The Senior Manager, Commercial Data Operations.This role will be responsible for managing commercial data that plays an essential role in supporting Axsome’s commercial strategy and operations. The Senior Manager, Commercial Data Operations will focus on data governance and stewardship, data warehouse enhancements and project management to implement various data integrations needed to support successful commercial launches. This role will report to the Director, Commercial Data Operations. This role is based at Axsome’s HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully remote roles. Job Responsibilities and Duties include, but are not limited to, the following: Manage data strategy, data quality and business rules management, data stewardship, data catalog and lineage, data mart creation Ensures data is clean, correct, current, consistent, and complete Manage commercial data warehouse and being able to integrate and connect all the data sources to maximize value of data Partner with IT to develop data architecture and enterprise analytics work bench, leveraging the cutting-edge big data technologies Collaborates with external and internal partners to enable analytics and reporting through management of commercial data warehouse, business intelligence tools and data integrations Manage Commercial data and processes within Veeva product ecosystem (Nitro, Network, Open Data, Vault and other Veeva products) Enhance the value of the commercial data purchases by enhancing them and integrating them to create analytics ready databases. Tailor the data and systems solutions to match the changing needs of the commercial organization to adapt to a digital centric commercialization approach Stay abreast of best practices and new technologies in the data and analytics space Requirements / Qualifications Bachelor’s Degree required; Master’s Degree or MBA preferred 5+ years of commercial data management experience in the pharmaceutical or biotech industry (which may include work as a consultant or supplier to the industry) Proficient in SQL, Python, pharma datasets, MS- Office (esp. Excel, Vision), data editing software and other data management tools Must have deep understanding and knowledge of data management tools and processes, business intelligence, and integrated data warehousing solution designing Ability to work on site Monday, Tuesday & Thursday. We are unable to consider candidates who are looking for fully remote roles Experience, Knowledge and Skills Demonstrated knowledge of business operations and ability to identify and investigate operational needs, and opportunities, and leads the implementation of improvements within area of responsibility Experience with commercial sales data such as IQVIA or Symphony Sales Data Strong analytical and project management skills required; including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements and deliver optimized technical solution focused on business process Advanced level experience with Database systems and visualizations tools such as Tableau, Power BI Experience with Veeva eco system like Veeva Nitro, Veeva Network, Veeva CRM and Veeva Vault Experience developing complete data warehouse and customer master for the pharmaceutical vertical market AWS technology experience is preferred Experience in CNS therapeutic area is preferred Ability to work creatively and analytically with confidence in a problem-solving environment Strong team player with ability to manage conflicting priorities Demonstrated ability to work with many cross-functional partners Ability to understand and influence decisions Ability to interact and communicate with all levels in the organization Self-starter. Proactive in nature, actively participates and self-motivated Salary and Benefits: The anticipated salary range for this role is $140,000 - $160,000. We encourage candidates of all levels to apply as there may be flexibility on final job title and responsibilities. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity and a generous benefits package. Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law. Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE . AppLovin is looking for an intellectually curious, highly adaptable, and quick-learning Marketing Data Scientist to join our Product Partnerships team. In this role, you will learn and drive measurement strategy, help demonstrate the ROI and value of our platform, and develop best practices that accelerate growth for both our clients and our eCommerce advertising business. Reporting directly to the Head of Product Partnerships, you'll collaborate closely with research science, engineering, product, business development, and analytics teams, making a tangible impact from day one. Key Responsibilities Support client teams in developing strategic initiatives and "learning agendas" to enhance business outcomes through innovative measurement techniques. Assist internal and external stakeholders in adopting robust measurement practices to improve advertising effectiveness. Participate in designing tests and analyzing complex data sets to evaluate advertising effectiveness, covering direct response and brand impact. Conduct exploratory analysis and custom studies to assess marketing strategies, delivering clear insights for practical business applications. Collaborate cross-functionally (Product, Engineering, Business Development, Marketing) to identify opportunities for new features, products, and strategic partnerships. Translate complex data analyses into clear, actionable insights for diverse stakeholders through concise communication and compelling storytelling. Contribute to developing white papers, thought leadership, and educational content related to measurement strategies and performance marketing. Learn to educate clients, agencies, and industry stakeholders about AppLovin's advertising, measurement, and research capabilities. Minimum Qualifications Master's degree (or equivalent) in a quantitative discipline (e.g., Data Science, Statistics, Economics, Behavioral Science, Computer Science). 2+ years of relevant experience in data analysis, statistical methods, or quantitative research. Proficiency in analyzing and manipulating data sets using tools like Python, SQL, R, MATLAB, or Hive. Strong ability to communicate technical concepts clearly to a non-technical audience through concise story-telling. A proactive, curious mindset with a passion for continuous learning and adapting quickly in a dynamic environment. Excellent problem-solving skills and the ability to rapidly grasp complex concepts. Preferred Qualifications Internship or professional experience related to eCommerce or digital advertising. Exposure to industry measurement methodologies (e.g., attribution models, incrementality testing, geolift). Familiarity with machine learning techniques applied to marketing measurement. Genuine passion for AppLovin’s mission and online advertising ecosystem. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. CA Base Pay Range $107,000 — $161,000 USD AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

Software Engineer - Data Fulfillment Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity Patients, doctors and medical researchers deserve to benefit from large scale technological innovations and digital intelligence that have driven progress in office productivity, entertainment, and social networking. We are looking for software engineers excited by the opportunity to improve health care in far-reaching ways. In this role, you will be joining a team tasked with developing a scalable platform and services that enable customers to gain insights through our research platform or develop their own applications while preserving patient privacy. This position requires innovative problem-solving to design high-performance, cost-effective data services capable of handling and de- identifying large-scale datasets. The efficiency and correctness of these services is essential to advancing our mission to save lives with data. We are seeking backend engineers who: Have proven experience building reliable, secure and scalable software solutions using modern cloud-based paradigms. Are quick learners knowing how to iterate and evolve a distributed software solution while carefully balancing the needs of privacy, security and reliability against a changing product landscape. Have knowledge and experience in using and designing distributed systems, data pipelines, APIs. Build simple and effective solutions for complex problems. Can contribute to a positive work environment. Strict adherence to Truveta principles in support of ethical innovation. Willingness to commit to ongoing training on key topics like privacy, ethics, and security. Key Qualifications: 2+ years of experience building production quality software in a team setting 1+ years of experience working on cloud-native platforms (AWS, GCP, Azure) Experience building cloud services or data programming languages like Java, Python, or C# Excellent problem-solving skills BS. or MS. in Computer Science or related field Prior work with any of the following is a plus Containers, Kubernetes Modern DevOps practices like Infrastructure as Code and CI / CD pipelines Implementing Web Services Spark Statistics, health data, and privacy Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $94,000 to $120,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

SENIOR DATA ANALYST, BANKING  Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Banking team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst on the Banking team, you'll be at the forefront of shaping our understanding of customer behavior, banking product performance, and operational efficiency. You'll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly impact key decisions related to our banking products, features, and overall strategy. RESPONSIBILITIES Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services. Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders. Conduct discovery and deep-dive analyses to support data-driven decision-making. Partner with product managers and engineers to define and measure the success of features and initiatives. Design and evaluate experiments to optimize products and enhance customer experience. Monitor and analyze customer behavior across deposits, transactions, and other banking activities. Deliver actionable insights to leadership on emerging trends and innovation opportunities. Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data. Communicate findings and recommendations effectively to both technical and non-technical audiences. Continuously improve data analysis processes and methodologies. Uphold data integrity, accuracy, and governance across analytics pipelines. Support production analytics and fraud response through participation in on-call rotations. REQUIREMENTS Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field. Experience as a data analyst for 5+ years, ideally in B2C, financial services, or technology. Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc). Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms. Excellent analytical and problem-solving skills with a strong attention to detail. Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences. Strong business acumen and the ability to translate business questions into data analysis plans. Experience with A/B testing and experimental design. Working experience with Python for data analysis. ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS Familiarity with the fintech industry and banking products is a plus. Ability to thrive in a fast-paced, collaborative environment. Exposure to dimensional modeling concepts to power meaningful analytics. Experience building data pipelines in dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience modeling data using dbt. This role has a base salary range of $150,000 - $205,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary  Meaningful equity in the form of stock options  401(k) plan Discretionary performance bonus program  Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents  Flexible time off and paid holidays  Generous parental leave policy Commuter benefits  Fitness benefits Healthcare and Dependent care FSA benefit  Employee Assistance Programs focused on mental health  Healthcare advocacy program for all employees  Access to mental health apps  Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

About Foursquare  Foursquare is the leading independent location technology and data cloud platform dedicated to building meaningful bridges between digital spaces and physical places. Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes. A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by the world’s largest enterprises and most recognizable brands. About the Team:  As a data engineer on the Places team, you will contribute to the platform services and pipelines that facilitate large-scale data ingestion and governance. You will ship software with high visibility and of strategic importance to Foursquare, directly impacting revenue and the experience of our customers and Open Source community. You will focus on implementing and productionization of our ML models, working closely with our Data Science team to improve model performance and scalability. The Places team owns all components of our places dataset: from ingestion and data expansion, to delivery mechanisms like our APIs. We own and iterate on the core building blocks of our customer and Open Source Places Product offering, which lays the foundation for Fourquare’s other products and services. In this role you’ll: Influence key decisions on architecture and implementation of scalable, automated data processing workflows Build big data processing pipelines using Spark and Airflow Focus on performance, throughput, and latency, and drive these throughout our architecture Write test automation, conduct code reviews, and take end-to-end ownership of deployments to production Write, deploy, and monitor services for data access by systems across our infrastructure Participate in on-call rotation duties Act as a force multiplier, conducting code reviews, and coordinating cross-team efforts Implement and advocate for best practices in testing, code quality, and CI/CD pipelines What you’ll need: BS/BA in a technical field such as computer science or equivalent experience. 3+ years of experience in software development, working with production-level code. Proficiency in one or more of the programming languages we use: Python, Java or Scala Excellent communication skills, including the ability to identify and communicate data-driven insights. Self-driven and feel comfortable learning without much hand-holding Eagerness to learn new technologies Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply! Nice to have: Experience with relational or document-oriented database systems, such as Postgres and MongoDB and experience writing SQL queries. Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi Our Tech Stack: Languages: Java, Scala, Python Tools for pipeline orchestration: Airflow, Luigi Data Processing Frameworks: Spark, MapReduce, Scalding At Foursquare, we are committed to providing competitive pay and benefits that are in line with industry and market standards.   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, and specific office location. The annual total cash compensation range is _____________   however actual salaries can vary based on a candidate’s qualifications, skills and competencies, as well as location.  Salary is just one component of Foursquare’s total compensation package, which includes restricted stock units, multiple health insurance options, and a wide range of benefits! Benefits and Perks: Flexible PTO - rest and recharge when you need it! Industry Leading Healthcare - comprehensive and competitive health, vision, dental, life insurance Savings and Investments - 401(k) with company match Equipment Setup - you will receive all necessary hardware for your job function Family Planning and Fertility Programs - programs via Carrot Hybrid Work Schedule  for in-person collaboration on Tuesdays, Wednesdays, and Thursdays. Things to know… Foursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe in order to build the best products, we need a diversity of perspectives and backgrounds. This leads to a more delightful experience for our users and team members. We value listening to every voice and we encourage everyone to come be a part of building a company and products we love. Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. Foursquare Privacy Policy #LI-HYBRID #LI-MM1

As a Transaction Services Data Analytics Manager at Riveron, you will provide crucial data-driven insights for complex transactions involving private equity and corporate clients. Your role analyzes extensive datasets to uncover trends and deliver actionable recommendations that guide clients through due diligence, post-deal performance, and exit strategies. You’ll translate complex data into clear insights for clients and internal teams, ensuring strategic decisions are well-informed all while ensuring data is reconciled to core financial statements or metrics of target companies. You’ll maintain high service standards while nurturing client relationships and pursuing new business opportunities. In this dynamic, fast-paced environment, you will stay ahead of industry trends and emerging technologies, enhancing our analytical approach, and delivering impactful results throughout the deal lifecycle. Who You Are: CPA and/or audit experience preferred but not required Minimum 5years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics Minimum 2 years of transaction experience focused on quality of earnings, net working capital, and cash flows Minimum 2 years of experience with one or a combination of the following: Data Visualization Tools: Experience with D3.js , Tableau, PowerBI, Spotfire, or similar platforms. Data Management: Proficiency in Hadoop, SQL, Alteryx, or comparable technologies. Analytics Platforms: Knowledge of SAS, Azure, or related systems. Statistical Software: Familiarity with SPSS, Minitab, or similar packages. Programming Languages: Competence in Python, R, or other relevant languages. You have a passion for developing and maintaining client relationships You thrive in an ever-changing, dynamic work environment You readily identify problems and instinctively look for solutions You demonstrate analytical rigor and strong written and verbal communication skills You have the ability and desire to travel as required based on client location What You'll Do: Analyze extensive datasets using data management technologies (e.g., Alteryx ,Hadoop, SQL ) to develop detailed EBITDA tables, net working capital analyses, and other key financial metrics. Employ statistical software (e.g., SPSS, Minitab) and programming languages (e.g., Python, R) to perform in-depth analysis and identify trends, risks, and opportunities within transaction data. Utilizing core accounting and financial due diligence skills, ensure all relevant data is reconciled or tied to key financial data of target companies, where and when possible. Lead data-driven discussions in management meetings, translate and communicate complex data findings into clear, strategic recommendations for due diligence findings and transaction models to clients and internal deal teams. Oversee the application of analytics platforms (e.g., SAS, Azure) throughout the transaction lifecycle to ensure high-quality, data-driven decision-making and insights. Mentor junior team members in data analysis techniques and tools, fostering a culture of analytical excellence and continuous learning. Stay updated with industry trends and emerging technologies to enhance our data analytics capabilities and deliver impactful results for clients. The expected pay range for this position is $116,000 - $175,000 (exclusive of bonus, equity, or benefits for which this role may be eligible). This range takes into account a variety of factors that are considered in making individual compensation decisions including but not limited to experience and training; skill sets; licensure and certifications; location and other business and organizational needs; and applicable laws. For information regarding benefits offered to employees, please visit https://riveron.com/riveron-life/ . #LI-SV1

Data Analytics Specialist in Manufacturing - Contract DISHER is seeking an experienced contractor with strong Excel and data analytics capabilities to support manufacturing operations. This role involves analyzing complex data sets, developing automated processes, and working independently to drive efficiency improvements. This is a 6-month contract. What it's like to work here: Make a positive difference ! It’s why we exist. We are always looking for teammates who are eager to use their diverse set of talents with our customers, coworkers, and communities. We want to leave this world better than we found it. What you will get to do: Develop advanced data analysis using Excel and other analytical tools. Develop and automate reporting processes and workflows. Review and interpret engineering drawings and bills of materials. Work independently to define and implement data management processes. Support manufacturing operations with data-driven insights. What will make you successful: Expert-level Excel skills (advanced formulas, pivot tables, data manipulation). Experience with VBA, Python, SQL, or other programming/scripting languages. Previous contract/consulting experience (not a first-time contractor). Prior experience working in manufacturing facilities. Ability to work independently with minimal supervision. Familiarity with manufacturing documentation (BOMs, engineering drawings). Must have the current and continuing right to work in the United States of America without restrictions or expirations.

The mission of Equitas Academy is to prepare students for college, careers, and life pursuits, and inspire them to be champions of equity. We currently serve over 2,000 students and operate four elementary schools and two middle schools in the Pico-Union neighborhood of Los Angeles. The Data Systems Specialist plays a critical role within the Technology Department, overseeing the integrity, security and functionality of student information systems (SIS) and ensuring compliance with all state and federal data reporting requirements, including CALPADS. This position supports school-based teams in accurate data entry, manages data quality initiatives, and provides critical reporting and system support to maintain operational excellence across the organization. Reports To: Director of IT Operations and Systems This is a full-time, hourly position. Essential Responsibilities Manage the administration and maintenance of the organization's Student Information System (SIS). Ensure data compliance with federal, state, and local regulations, including oversight and timely submission of CALPADS reporting. Monitor, audit and validate student enrollment, demographics, attendance and discipline data. Serve as the primary point of contact for system configuration, troubleshooting and data integrity issues. Create and manage custom reports and data extracts for leadership, school sites and external agencies as needed. Train and support school-based Office Coordinators and other staff on best practices for SIS data entry and management. Maintain clear documentation of SIS procedures, workflows and reporting deadlines. Collaborate with Operations, Schools, and other departments to support data-driven initiatives and compliance needs. Assist in the implementation and maintenance of integrations between SIS and third-party systems (e.g., assessment tools, communication platforms). Support the state-mandated testing processes by managing SIS-related data configurations (e.g., rosters, accommodations). Proactively identify opportunities for system optimization and recommend solutions to improve data management practices. Other duties as assigned to support the mission and operational needs of the organization. Minimum Qualifications: 2+ years of experience working with Student Information Systems or comparable data systems. Strong understanding of CALPADS reporting requirements. Proficiency with Microsoft Excel, Google Workspace (Docs, Sheets, Forms), and database management concepts. Exceptional attention to detail, organizational, and analytical skills. Ability to troubleshoot complex system and data issues independently. Excellent communication and training skills with both technical and non-technical audiences. Commitment to Equitas Academy’s mission and core values. Preferred Qualifications: Bachelor’s degree preferred. Prior experience supporting K-12 education data systems. Familiarity with California school reporting requirements beyond CALPADS (e.g., SARC, CRDC). Experience working in a multi-site school environment. Commitment to Diversity Equitas Academy is actively seeking to build a diverse and experienced team of educators and staff. We do not discriminate on the basis of race, color, gender, gender identity, disability, age, religion, sexual orientation, or national or ethnic origin. We are an equal opportunity employer. Salary The starting salary for this position is $30/hour. A Final Note If you're still wondering if you should apply and if Equitas is the place for you, we encourage you to take a chance, bring your questions, and learn more about us throughout the interview process. If you're wondering if you've got what it takes to be a successful manager here we’ll let you in on a secret: there’s no such thing as a "perfect" candidate. Equitas is a place where we believe in people and their potential and we support individual growth. So, whatever is on your mind, we hope you will give us, and yourself, a chance and submit an application!

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models. We are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows. Responsibilities Design and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments. Build internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets. Collaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging. Develop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data. Support the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows. Optimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments. Partner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. 8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments. Proficient in Python, SQL, and familiar with C++. Experience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union). Strong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform) Familiarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP). Deep understanding of data quality, observability, and lineage in high-volume systems. Track record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows. Bonus Qualifications Experience in AD/ADAS, robotics, or autonomous systems — especially handling perception or planning datasets. Familiarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc). Experience working with temporal or spatial data, including geospatial indexing and time-series alignment. Exposure to synthetic data generation, simulation logging, or scenario replay pipelines. Strong software engineering fundamentals, CI/CD, testing, code review, and service deployment best practices. Experience collaborating with cross-functional, distributed teams across research and production orgs. Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $180,000 and $270,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of Learning Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Team: The Data Science team's core objective is to distill actionable intelligence from our vast datasets, directly influencing Quizlet's trajectory. We are in the process of a strategic realignment, sharpening our focus on data quality and the development of sophisticated AI-powered analytical tools. As the team’s technical lead, you will be pivotal in this evolution, partnering with executive leadership to define and evangelize a focused set of key business and product metrics. About the Role: Quizlet is seeking a visionary Senior Staff Data Scientist to spearhead our mission of translating raw data into a strategic roadmap that guides our product and company. As the technical cornerstone of the Data Science team, you will be instrumental in cultivating a culture of analytical rigor and empowering the organization with democratized insights. As a Sr. Staff Data Scientist, you will serve as the technical authority for the team. Your primary responsibility will be to conduct in-depth analyses to unearth the most critical levers that drive our core metrics. Your insights will be the bedrock of our product initiatives, and you will be accountable for forecasting and measuring the impact of these initiatives on business outcomes. Your work will directly empower our product teams to transform Quizlet into a personalized, AI-driven learning coach that boosts user engagement, retention, and monetization. You will provide mentorship to a high-performing team of data scientists, fostering a culture of innovation and high-impact execution. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week : Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In this role, you will: Architect and Execute a Strategic Analytical Roadmap : You'll define and drive the technical roadmap for data science at Quizlet, directly enabling key business metrics such as Engaged Learners and Revenue Growth Define and Evangelize Core Metrics : Collaborate with executive leadership and cross-functional teams, including Product, Consumer Engineering, Marketing, and Finance, to establish, instrument, and champion a concise set of core business and product metrics Identify and Quantify Growth Levers : Conduct comprehensive, deep-dive analyses to identify and quantify the controllable input metrics that have the most significant influence on our core business outcomes Champion Technical Excellence and Mentorship: Set the technical direction for the data science team, providing guidance and mentorship to foster a culture of analytical rigor, innovation, and impactful execution Drive Impact Accountability : Be accountable for the accuracy of forecasts and the precise measurement of the impact of identified levers on business outcomes Cross-Functional Partnership and Influence : Work in close partnership with leaders in Product, Applied AI, and Data Engineering to realize a shared vision of an AI-powered learning experience. Influence the broader engineering organization by establishing best practices for data analysis, experimentation, and insight generation What you bring to the table: A B.S., M.S., or Ph.D. in a quantitative field such as Statistics, Economics, Computer Science, or a related discipline 8+ years of industry experience in data science or a related analytical role, with a proven track record of leveraging data to drive critical business decisions Demonstrated experience in setting the technical direction for a data science team and achieving consensus on complex and ambiguous analytical challenges Deep technical expertise in modern data science and statistical analysis techniques, including proficiency with data processing frameworks (e.g., Spark, Flink), and advanced knowledge of SQL and Python for data analysis A history of successfully mentoring and developing senior talent in the field of data science A robust product-oriented and strategic mindset, with the ability to translate high-level business needs into a clear and actionable analytical framework Bonus points if you have: Experience in leveraging data to support Generative AI, Large Language Models (LLMs), or agentic systems A background in the EdTech or consumer mobile industry A track record of significant contributions to open-source projects in the data science, analytics, or MLOps communities Why Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

About Synapticure As a patient and caregiver-founded company, Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states through a virtual care platform. Partnering with providers and health plans, including CMS' new GUIDE dementia care model, Synapticure is dedicated to transforming the lives of millions of individuals and their families living with neurodegenerative diseases like Alzheimer’s, Parkinson’s, and ALS. Our data team powers the insights behind patient care, operational efficiency, and innovation in clinical outcomes. The Role Synapticure is seeking a highly motivated and experienced Full Stack Data Engineer to join our growing data team. Reporting to the Head of Data, you’ll work cross-functionally with engineering, clinical, product, finance, and operations teams to drive data-informed decision-making across the organization. You will own the full analytics lifecycle — from identifying data requirements and building pipelines, to modeling datasets, uncovering insights, and creating tools that help stakeholders act. Your work will directly influence strategic direction, improve patient outcomes, and unlock efficiencies across the company. The ideal candidate is relentlessly curious, thrives in ambiguity, and combines strong technical fluency with thoughtful communication. You’ll play a key role in stewarding high-integrity, actionable data and building a culture of data literacy and continuous improvement. Job Duties – What you’ll be doing Partner with cross-functional teams to scope and execute high-impact analytical projects Build validated, documented, and QA-tested datasets from multiple source systems Design and build dashboards and tools for clinical, product, and operational visibility Conduct exploratory and statistical analyses to identify opportunities and insights Own the full data lifecycle: requirements → pipeline → modeling → visualization → insight Maintain high standards of data quality through robust documentation and testing Clearly communicate insights and recommendations to both technical and non-technical stakeholders Contribute to our internal knowledge base and support data literacy initiatives Requirements – What we look for in you Proven experience driving decision-making as a Data Engineer or similar role Experience working with CMS, clinical, or healthcare data Strong SQL skills and experience with the modern data stack (e.g., dbt, Snowflake, Looker) Proficiency with data visualization tools (e.g., Knowi, Tableau, Power BI, Looker) Experience applying machine learning to healthcare use cases such as patient stratification, care pathway optimization, and forecasting Familiarity with cloud platforms (e.g., AWS or Google Cloud) Ability to turn ambiguous business questions into structured analysis Effective communicator comfortable working across teams Detail-oriented, proactive, and eager to learn Team player with humility, curiosity, and a collaborative spirit Preferred Qualifications Prior experience in healthcare, health-tech, biopharma, or startup environments Familiarity with clinical workflows or neurodegenerative care Experience with value-based care, cohort analytics, and patient funnel metrics We’re founded by a patient and caregiver, and we’re a remote-first company. This means our values are at the heart of everything we do, and while we’re located all across the country, these principles are what tie us together around a common identity: Relentless focus on patients and caregivers. We are determined to provide an exceptional experience for every patient we have the privilege to serve, and we put our patients first in everything we do. Embody the spirit and humanity of those living with neurodegenerative disease. Inspired by our founders, families, and personal experiences, we recognize the seriousness of our patients’ circumstances and meet that challenge every day with empathy, compassion, kindness, joy, and most importantly – with hope. Seek to understand, and stay curious. We start by listening to one another, our partners, our patients, and their caregivers. We communicate with authenticity and humility, prioritizing honesty and directness while recognizing we always have something to learn. Embrace the opportunity. We are energized by the importance of our mission and bias toward action. Travel Expectations This is a remote-first role. Minimal travel (up to 5–10%) may be required for team offsites or company-wide events. Salary & Benefits Competitive salary commensurate with experience Comprehensive medical, dental, and vision coverage 401(k) plan with employer matching Remote-first work environment with home office stipend Generous paid time off and sick leave Professional development support and career growth opportunities

Wachter's greatest asset is the people who work here. Join the Wachter family and chart your career path! Wachter is accepting applications for Low Voltage Project Technicians for service and project work at various locations across the United States. This position is responsible for installing, troubleshooting, and repairing structured cabling systems in various environments. This full-time position requires travel and a willingness to learn and help in other structured cabling environments if needed. We seek self-motivated and reliable technicians who can work independently and find solutions to complete the job. Long-term employment with competitive pay and exceptional benefits for qualified candidates. We value relationships and invest in our employees. Benefits Package: Company Paid! Medical, Dental, Prescription & Vision Benefits--No premium cost! Life, AD&D and LTD insurance Paid Vacation and Holidays MD Live, TriaHealth, Legal and Identity Theft Monitoring Company-Matched 401(k) and IRA Retirement Savings Per-Diem paid when overnight travel is required Drive time and mileage paid for use of personal vehicle when travel is required Requirements: Experience as a Data Cable Technician. Strong background in installing and troubleshooting structured cabling systems in retail environments. Must hold a current valid State required license(s) for low voltage/burglar alarm/fire alarm/security/CCTV. Available for extensive travel. Flexible and willing to work on-call, day or night shifts as the jobs require. Experience reading blueprints and site maps. Experience in CCTV, Voice, and Fire Alarm cabling is a plus. Knowledgeable in identifying independent colors and learning color codes. Ability to work in cramped spaces. Experience working with Copper and Fiber. Ability to operate a BOOM or scissor lift, and ability to work at heights. Has PPE, basic telecommunication tools, and hand tools. Reliable transportation with required insurance coverage. Must have knowledge of cabling infrastructure. Great communication skills; verbal and written. Excellent customer relationship skills. Highly proficient with the use of email, spreadsheets, and the ability to learn internal systems. Experience in conduit installation is a plus. Valid driver's license with a clean driving record; no DUI or DWI in the last three years. Responsibilities: Installation, troubleshooting, and maintenance of various cabling infrastructure. Run low voltage cabling in commercial buildings, including drilling concrete walls and limited conduit work. Ensuring all cables are neatly tied and bundled according to safety regulations. Assist with pre-installation opportunities by designing and planning technical solutions Installing of cable support structures such as j-hooks, cable racks, and innerduct. Conduct tests to ensure all newly installed cable systems and component devices are operational. Troubleshoot issues with cable networks. Ensure electrical systems meet local, county, state, or federal codes; legal and/or insurance requirements. Adhere to all required project safety requirements as set forth by Wachter, our customers, or OSHA. Perform any other duties not specifically stated herein, but which your supervisor may assign. Technicians with experience in CCTV, voice, and data cabling are encouraged to apply. Based on qualification and experience. About: Wachter is a family-owned company since 1930 and we see each employee as a critical piece of the Wachter Family. With over 900 licenses across the country, Wachter serves commercial and industrial clients with the right technologies needed to keep them successful. We design, install, and maintain the technologies that keep businesses operating efficiently. Our team of dedicated electricians, engineers, and technicians provides electrical, data, security, communications, and automation services to clients in numerous industries. Follow us on Facebook , Instagram , Twitter , and LinkedIn . We're an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Wavicle Data Solutions, LLC seeks a Senior Data Engineer in Oak Brook, IL. WHAT YOU WILL GET TO DO Responsible for designing and building optimized data pipelines, in an on-prem or cloud environment for the purpose of driving analytic insights. Create the conceptual, logical, and physical data models. Develop and implement end-to-end data pipelines and data integration solutions using cloud platforms such as AWS or GCP. Architect end-to-end data solutions ensuring integration across cloud platforms (AWS, GCP) with optimized ETL pipelines. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, or AWS Lambda. Lead solution design and development of web-based data applications, providing technical direction on the front-end frameworks such as React.js , Vue.js , and SmartGWT to build interactive interfaces that support analytics and data exploration. Design, develop, test, deploy, maintain and improve data integration pipeline. Implement and manage CI/CD pipelines using Jenkins or GitHub Actions to automate the development, testing, and deployment of data engineering solutions. Guide the adoption of development best practices including version control (GIT), CI/CD pipelines, automated testing, and performance tuning. Develop pipeline objects using Apache Spark / PySpark/ Python or Scala. Develop and maintain RESTful APIs and backend services to support data processing workflows and integration between data pipelines and user-facing systems. Lead and/or mentor a small team of Data Engineers. Communicate effectively with client leadership and business stakeholders. Participate in proposal and/or SOW development. WHAT YOU BRING TO THE TEAM Bachelor's Degree in Computer Science, Software Engineering, Data Analytics, Information Technology or related field plus 4 years of experience as a Data Engineer, Applications Developer, Programming, or Technical Lead or related occupations. 4 years of experience in the following: Web-based mobile application development using at least one of the following technologies: React, Vue, NodeJS, REST based Web services, Python, and Java; Programming experience using Scala, Python, or Java. 3 years of experience in the following: Working with at least one of the following databases: Snowflake, AWS Redshift, Oracle, or SQL; Utilization of SQL to write complex, highly-optimized queries across large volumes of data; Implementing ETL pipelines using at least one of the following AWS services: Lambda, S3, API Gateway, SNS, or SQS. Telecommuting is permitted. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com Ref #95698 for consideration. BENEFITS Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D Unlimited Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Employee Assistance Program Training & Development Work From Home Bonus Program

The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo's data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, they will help define data requirements and business logic to measure provider-level clinical quality from claims data, analyze the relationship between quality, price, and market share for health procedures, and identify missing comorbidities from EHR patient records. This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo's marketplace growth. 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 Product Strategy & Roadmap: Help define and own the product vision, strategy, and roadmap for data analytics, aligning with company priorities and customer needs. Healthcare Data Expertise: Serve as subject matter expert on EHR, pricing, and claims data to ensure accurate, compliant, and valuable use of clinical and financial information in products. Customer Engagement: Collaborate with health systems, employers, and payers to gather requirements, validate use cases, and ensure products deliver measurable value. Execution & Delivery: Lead cross-functional teams through the full product lifecycle—from requirements and design to development, launch, and iteration. Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, and accessible. Market & Competitive Analysis: Monitor industry trends, competitive offerings, and regulatory requirements to inform product direction and maintain a strong market position. Internal Collaboration: Work closely with Sales, Customer Engagement, and Operations teams to ensure successful go-to-market strategies, adoption, and customer satisfaction. Requirements Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, or related field; or equivalent experience. 7+ years of product management experience in healthcare technology, analytics, or related field. Strong working knowledge of healthcare coding systems (ICD-10, DRG, CPT) and claims/payment workflows. Understanding of SQL, Python, and relational data concepts. Proven ability to define product requirements, manage cross-functional teams, and deliver successful products. Excellent communication, stakeholder management, and problem-solving skills. Strong analytical background with experience leveraging large, complex datasets. Nice to Have Advanced degree (MBA, MPH, MS in Health Informatics or Data Science). Experience with SaaS, digital health platforms, or healthcare marketplaces. Familiarity with payer, provider, and employer data integration and reporting needs. Understanding of value-based care, reimbursement models, and healthcare economics. 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 Principal Data Engineer, you will work within the Informatics 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 7+ 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 $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.

The Senior 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 Senior 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 Senior 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. 5+ years of experience in data analysis software, with data science experience preferred. 5+ 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 $127,500-$172,500 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 Informatics 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 $127,500-$172,500 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.