About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About the Role We are seeking a Senior Quant Data Engineer to join our Data Engineering team , supporting our initiative to build and deliver systematic, data-driven products designed for quantitative investment firms. This is a high-impact role at the intersection of engineering, quantitative research, and data productization . You will report to the Head of Data Engineering and partner closely with our Quant Research and Product teams to design, build, and scale robust data pipelines that feed quantitative models and data products used by some of the world’s most sophisticated investors. The ideal candidate has deep experience with large-scale data systems, quantitative data processing, and the rigor required to meet the expectations of institutional quant clients. This is a senior, hands-on engineering role with the opportunity to shape the foundation of YipitData’s quantitative product strategy. What You’ll Do: Design, build, and operate scalable, efficient data pipelines that integrate and standardize internal and third-party alternative/financial data into analysis-ready formats to support systematic investment research. Partner with Quant Research, Data Infrastructure, Product, and Revenue to align pipelines, model/data requirements, and client SLAs. at a financial firm, data provider, or technology company. Strong communicator with experience working with both internal and external stakeholders. Proven track record building and maintaining large-scale ETL pipelines using Python and distributed data technologies (e.g., Spark, Airflow, Snowflake, Databricks). Experience working with financial, alternative, or time-series data used in quantitative investment workflows. Strong understanding of data modeling , schema design , and metadata management . Familiarity with cloud-based data infrastructure (AWS preferred). Experience with data delivery systems such as S3 feeds, APIs, or data sharing platforms such as Snowflake Share or Delta Sharing. Deep curiosity about financial markets and a passion for data-driven investing . Strong communication skills and a collaborative mindset, with the ability to translate between technical and research stakeholders. A passion for data reliability, reproducibility, and performance. What We Offer: Our compensation package includes comprehensive benefits, perks, equity, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by your impact, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. The annual compensation for this position is anticipated to be $250,000 base salary. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are NOT able to consider candidates who currently or in the future will require visa sponsorship . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. Job Applicant Privacy Notice

Why FMG? We’re not just another tech company—we’re shaping how businesses connect with their audiences through the power of music. At FMG, you’ll join a team of passionate, forward-thinking professionals who love what they do and care deeply about getting results. Ready to drive innovation at the intersection of music and technology? Join FMG today. Overview At FMG, we believe the best candidates are eager communicators, learn quickly, are compassionate, collaborate well with others, and have a strong desire to see their work in action. We create space for high autonomy and nurture an environment that enables a healthy work-life balance. You’ll join a small, tight-knit team and will have the opportunity to apply yourself in many aspects of our business, going far beyond music ingestion and delivery, and analytics collection and reporting. You’ll design and own end-to-end data solutions — from ingestion pipelines to APIs, dashboards, and internal tools — that make critical data accessible, actionable, and reliable across the organization. You’ll also help build and optimize the infrastructure behind our products and services, establish best practices, and collaborate across teams. Our Stack Hosted on AWS, our backend consists of a GraphQL API built on Node.js services that interact with MySQL, ElasticSearch, and S3. Our data warehouse is hosted on Amazon Redshift and ingests data via PySpark ETL pipelines and Amazon Kinesis streams . Key Responsibilities Bu ild and maintain robust data infrastructure for ingesting, transforming, and modeling music content, metadata, and rights data. Design, build, and support data products and internal tools that serve analytics, operations, and self-service reporting use cases: e.g. data observability dashboards, ingestion monitors, rights reporting and audit trails, content QA interfaces. Design and optimize cloud-based architectures using AWS services, including DynamoDB, MySQL, Redshift, S3, Lambdas, and CloudWatch, to ensure high availability and performance. Contribute to DevOps efforts, including monitoring, logging, and alerting, to ensure the reliability and resilience of our services. Support rights compliance workflows through reproducible, transparent data practices. Drive performance, cost efficiency, and observability across the entire stack. Own work end-to-end, from ideation to production, in a small, highly collaborative team environment. Qualifications Benefits Remote company Competitive salary Equity Comprehensive health, dental, vision and disability insurance along with a 401k matching plan. Full details here .

At AccuWeather, we are at the center of scientific innovation, combining meteorological and atmospheric sciences with cutting-edge AI to develop groundbreaking weather-related products and services.  We are seeking a passionate and ambitious Applied Meteorologist Intern to join our Data Science team.  This role offers a unique opportunity to work on real-world projects that leverage advanced analytics, machine learning, and meteorological expertise to improve forecasts and deliver actionable insights to millions of users worldwide. KEY RESPONSIBILITIES Execute QA/QC processes on meteorological datasets, ensuring data integrity, consistency, and readiness for modeling and research applications. Develop and maintain comprehensive documentation for data workflows, verification methodologies, and quality control procedures. Collaborate with meteorologists, data scientists, and data engineers to integrate data into predictive models and enhance forecast performance. Perform lightning verification analysis to evaluate accuracy and identify areas for improvement. Prepare clear data visualizations and summary reports to effectively communicate findings to internal stakeholders. Provide analytical support in diagnosing data inconsistencies and contribute to corrective initiatives to uphold data integrity and quality. Research and explore the latest developments in atmospheric science to share broadly with team members. Participate in team meetings and contribute to project planning discussions to align tasks with broader organizational goals. Performs other duties as assigned. QUALIFICATIONS ABOUT ACCUWEATHER AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather’s proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast’s Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs. COMMITMENT TO DIVERSITY & INCLUSION AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.

Company Description Catasys is making a positive impact on people’s lives every day. We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health with a personalized, human-centered approach.  This has led us to where we are today: growing fast and saving lives as we do. To support our explosive growth, we’re looking for compassionate, hard-working people-lovers to join our team. If innovating in the field of patient care is something you’re passionate about, we encourage you to join our mission to improve the health and save the lives of as many people as possible. Impact lives in so many ways You'll be an integral part in supporting people coping with their unique life challenges. Every member of the Catasys team contributes to accomplishing our goals and upholding our people-centric values. The new face of mental health Our model is research-based, and we are invested in staying on the leading edge of treatment. You'll help us break down barriers and stigmas associated with mental health. Career options Our ongoing strong growth and evolution, we are looking for people who want to do their best at work.   Join our team and take your career to the next level with Catasys. We are committed to promoting from within. Excellent compensation Job Description In this key role, you will be a data architect defining and growing the data infrastructur e and data supported by applications used by Catasys colleagues who work daily to improve and save the lives of those suffering from the medical consequences of untreated behavioral health conditions. You will work in a highly autonomous and low supervision environment with a geographically distributed team creating and delivering successful applications from whiteboard to market scale. You will live in a highly collaborative, delivery-focused team environment and will be equally at home designing an MDM strategy, troubleshooting DB performance, building out a data strategy or helping a developer implement a new document collection. You will display the ability to be a critical thinker and tackle problems by first evaluating the problem and then thinking of several potential solutions.  You will be responsible for all phases of new data solution implementation displaying the ability to lead in the delivery of the solutions. To you, balancing security and accessibility, system design and architecture, reliability engineering and fault diagnosis are not esoteric terms, but rather fuel for the obsession that drives your daily war against mediocrity. Basically, your qualification for this job is proven experience operating in a high performing and fault intolerant environment. Your objective is to anticipate the needs of the organization and work to ensure that the data architecture provides value for the entire organization Qualifications Bachelor's degree in Computer Science or "STEM" majors (science, technology, engineering, or math) 5 or more years of data architecture experience Excellent communication both written and verbal Experience with relational and No SQL data structures Experience with Data Lakes and technologies Experience in deploying a Master Data Management (MDM) solution Familiar with Python scripting language Experience with data warehouse implementations Data visualization experience Additional Information All your information will be kept confidential according to EEO guidelines.