Auto-apply to these data science jobs

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We are seeking an accomplished and experienced Senior Software Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining our data infrastructure and services. You will collaborate with cross-functional teams, including data engineers, data scientists, software engineers, and product managers, to deliver modern and bleeding-edge solutions that drive business insights and innovation. This role reports to our Director of Engineering, Data Platform. To learn more about Discord’s Data Platform, read our engineering blog — including how we built our modern data stack leveraging open-source tools! What You'll Be Doing Define and execute the technical vision for Discord's data platform, enabling scalable, reliable, and performant data systems. Design, implement, and optimize data infrastructure to process and analyze petabytes of data across millions of users. Develop innovative data architectures to support analytics, machine learning, and operational insights. Build monitoring, logging, and alerting systems to ensure the health and performance of data services. Partner with data scientists, data engineers, product managers, and leadership to align technical solutions with business goals. Promote and drive best practices in data governance, security, and compliance across the organization. Provide technical leadership, mentor junior engineers, and foster a culture of excellence and continuous improvement. Stay up-to-date with industry trends and emerging technologies in data platform. What You Should Have 5+ years of experience in software engineering with a focus on large-scale distributed systems or data infrastructure. Expertise in building and maintaining scalable data platforms, including data ingestion pipelines, stream processing, and batch processing systems. Proficiency in programming languages such as Python, Java, Rust, or similar. Proficiency with open source data projects and experience working with open source communities. Hands-on experience with modern data technologies such as Kafka, Spark, Flink, Airflow/Dagster, or similar. Deep understanding of database systems (e.g., SQL, NoSQL, columnar storage) and data modeling principles. Strong knowledge of cloud infrastructure (AWS, GCP, or Azure), containerization tools (Docker, Kubernetes), and microservices architecture. Excellent communication skills with a demonstrated ability to collaborate and influence across teams and levels. Proven ability to thrive in a fast-paced environment. Bonus Points A strong passion for Discord and gaming. Open source contributions to data-related projects. #LI-Remote The US base salary range for this full-time position is $196,000 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord?  Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking  HERE.

Introduction to Demandbase:  Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”! We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! About the Role: Demandbase is seeking a Senior Data Scientist to join our ML/Data Science team, where you’ll contribute to impactful machine learning projects that shape the B2B buyer journey. This role is ideal for someone with solid experience in casual inference including experimentation (A/B testing) and observational methods, statistical modeling, machine learning methods, time-series analysis, etc. You will work on a range of projects including account ranking, recommendation systems, intent modeling, and ads optimization. You will also work on setting up experiments (A/B testing) and apply other causal inference methods to measure and compare model performance and assess the impact of the AI/ML tools our team builds. In this role, you’ll collaborate with experienced Data Scientists, Machine Learning Engineers, Applied Scientists, Product Managers, Data Engineers, Software Engineers, Designers, UX Researchers, etc. offering opportunities to apply your casual inference experience and machine learning skills. A background in ML/Data Science, Econometrics, Statistics, Computer Science, or a related field is ideal. The base compensation range for this position for candidates in the SF Bay Area is: $204,000 - $266,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience. This position is based in San Francisco, CA. Remote will be considered for highly qualified candidates. What you’ll be doing: Measure Impact and ROI: Apply causal inference methods including experimentation (A/B testing) as well as observational methods (propensity score matching, difference-in-differences, synthetic controls, etc.) to measure the performance of our models and the impact our models have for our customers. Data Exploration , Feature Engineering, and Model Building : Analyze large datasets to support machine learning models, perform feature engineering, and develop and apply machine learning models to our backend and frontend applications. Model Performance and Validation : Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments. Cross-functional Collaboration : Work with data engineering, product, software engineering, and UX teams to integrate models into workflows, ensuring solutions align with business needs. Communication of Findings : Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively. Project Highlights Ad Optimization and Personalization : Build models and measure their impact in the space of optimizing ad campaigns and real-time bidding. Account Intelligence & Scoring : Use ML to rank and prioritize accounts within the B2B buying journey. Real-Time Intent Detection : Develop models to capture intent signals that drive real-time sales and marketing actions. Support Experiments: Set up and support backend and front-end A/B tests to measure performance and support model development and rollout decisions. What we’re looking for: Experience : 5+ years in data science or applied machine learning roles, with demonstrated experience in causal inference and building and deploying models Education : Graduate degree (M.S. or Ph.D.) in Statistics, Econometrics, Computer Science, Machine Learning, Mathematics or a related field. Casual Inference and ML Expertise : Proven experience applying casual inference methods (experimental and observational) as well as ML methods including: Experimentation (A/B testing) Observation Studies (propensity score matching, difference-in-differences, synthetic controls, etc.) Statistical modeling, ML methods Ranking & Recommendation Systems Experience with ad optimization and real-time bidding algorithms (preferred) Technical Skills : Experience with experimentation and causal inference packages such as EconML, CausalImpact Strong proficiency in Python and ML libraries (e.g., Scikit-Learn, Pandas, Numpy) Solid SQL skills Familiarity with ML frameworks such as PyTorch and TensorFlow Experience with Scala is a plus Cloud & Data Tool Familiarity : Experience with Google Cloud Platform or AWS preferred, with BQML or Spark as a plus. Even Better If You Have: Leadership Experience : Experience leading projects or mentoring within data science teams. Industry Experience : Prior work in Martech, SalesTech, or Adtech environments is a plus. Personal Attributes : Self-motivated and capable of independent project management Analytical mindset with a focus on creating impactful solutions Passionate about metrics and data-driven decision-making Committed to end-to-end ownership of machine learning products Benefits: We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. Our Commitment to Diversity, Equity, and Inclusion at Demandbase: At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.   Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our  Privacy Policy explains how we collect and use personal information.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is driven by data! In this role, you will contribute to the long-term success of SoFi's data vision by developing distributed systems and scalable data platforms. The Data Platform Group supports data use cases across all of SoFi's diverse business units by providing a highly scalable, democratized data platform that empowers teams to ingest, model, and consume data confidently. Join the Data Platform Group as it refines its vision and establishes industry-leading standards for data lifecycle management, introducing best-in-class architectural components and processes to extract value from disparate data sources. The success of this team is vital to the company's success, and your contributions will have a highly visible and lasting impact.   As a Principal Engineer, you'll contribute to the team's technical direction by designing innovative solutions to complex business challenges. You'll collaborate with engineering teams to maximize value for platform consumers, coordinate with squads to align with the Data Platform team's strategy, and provide guidance on testing and deployment strategies. Leveraging your expertise, you'll explore GenAI to enhance data analysis and decision-making. You'll mentor team members and represent the team during recruitment and hiring. The ideal candidate has experience in distributed systems and scalable data platforms.   What you’ll do: Collaborate with cross-functional teams to understand complex business requirements and translate them into scalable, high-impact technical solutions, directly influencing SoFi's data-driven decision-making processes. Lead architectural design sessions for the Data Platform and its integrations (APIs, services), ensuring solutions are not only technically sound but also aligned with broader business goals and significantly contribute to SoFi's overall data strategy. Drive the development of advanced features within the Experimentation platform, ensuring modular, efficient, and scalable code structures optimized for the aforementioned stack. Spearhead rigorous code review processes, underscoring best practices, efficiency, and optimal use of underlying software components unique capabilities and services. Foster and facilitate internal technical sessions, exploring nuances of AWS data services like DMS, MSK (Kafka) , and S3, and sharing best practices for integration with the broader data stack. Provide technical leadership in evaluating and adopting emerging technologies within the modern data stack, ensuring SoFi remains at the forefront of data engineering innovation. Drive Operational excellence across the squads and act as a liaison between Data and other organizations. Implement and track operational metrics to measure progress and identify opportunities for further optimization. Engineer sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations. Leverage Python and SQL scripting proficiencies for intricate data operations, custom ETL/ELT processes, and sophisticated data transformations across the platform. Collaborate with data scientists and ML engineers to explore and implement GenAI solutions for data analysis, feature engineering, and predictive modeling. Contribute to the development of responsible GenAI practices within the organization, ensuring ethical and unbiased use of AI technologies.  Mentor technical team members in best practices for Snowflake, Airflow, dbt, and AWS services, promoting a culture of technical distinction and innovation.   What you’ll need: Educational Background: A Bachelor's or Master's degree in Computer Science, Information Security, or a related field is required; an advanced degree is preferred. Experience: A minimum of 10 years in a pivotal Software/Data Engineering role, with extensive experience in modern data stacks, particularly Snowflake, Airflow, dbt, Kafka, Docker/k8s, and AWS data services. Technical Skills: Strong understanding of data ingestion, orchestration, transformation, and reverse ETL best practices and design principles. Proven skills in distributed systems architecture and building scalable solutions. Mastery in Python, Java, and SQL for complex operations within Snowflake and AWS services like DMS, MSK (Kafka), and S3. Solid experience with Terraform or Cloudformation as IaC solutions. Soft Skills: Strong leadership and communication skills. Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests. Demonstrated problem-solving capabilities, especially within the context of the modern data stack and experimentation realm. Exceptional technical communication skills, adept at liaising with both technical peers and diverse stakeholders within a data-driven organization. Demonstrated ability to lead a team of developers, providing technical guidance, mentorship, and support. Nice to have: Data exploration and analysis experience using SQL/Python/R/Tableau.  Experience with prompt engineering and fine-tuning LLMs. Contributions to open-source projects. Experience with data governance and security. Familiarity with machine learning concepts. Experience with finance / fintech or enthusiastic to learn and grow in this space. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

    About the Role: Sigma is a next-generation business intelligence, data exploration, and application-building platform that is changing the analytics landscape. It offers a spreadsheet-like interface that enables all decision makers to securely analyze, and interact with, billions of rows of live data with the unlimited scale and speed of the cloud. With Sigma, everyone can quickly answer their own questions to make and visualize accurate, data-driven decisions. We’re looking for a seasoned Product Manager to lead one of our most exciting new initiatives: Data Apps . In this high-impact role, you’ll define the vision, strategy, and roadmap for a brand-new 0→1 product - empowering our customers not just to uncover insights, but to act on them and automate powerful workflows . You'll be at the forefront of innovation, working hand-in-hand with customers to build something they’ll truly love. You’ll have direct exposure to Sigma’s executive leadership and partner closely with our go-to-market, engineering, and design teams to launch a category-defining product. This is a rare opportunity to drive major business growth, shape the future of our platform, and unlock entirely new revenue streams. Key Responsibilities Shape the vision: Define the strategy and roadmap for Data Apps, rally leadership around your vision, and keep the entire organization aligned and inspired. Deliver excellence at startup speed: Work hand-in-hand with world-class design and engineering teams to move fast, build iteratively, and launch exceptional products that wow our customers. Be the voice of the customer: Dive deep into customer needs and business goals, and turn those insights into product experiences that truly make a difference. Power our go-to-market success: Collaborate across Customer Success, Sales, and Marketing to craft a seamless and impactful GTM strategy. Build, learn, and evolve: Lead your team through rapid build-test-launch cycles, with a focus on quick iteration, smart learning, and continuous improvement. Qualifications Product Leadership: 8+ years of product management experience in B2B SaaS and startup environments, with a proven ability to build and scale impactful products. Experience building application platforms or similar technologies is a big plus. Technical Chops: Deep understanding of databases, data infrastructure, APIs, and security. Hands-on experience with data modeling or technical platforms is highly valued. Go-to-Market Expertise: Strong grasp of B2B GTM motions, with a proven track record of working closely and effectively with Sales, Customer Success, and Marketing teams. Design Instincts: A passion for intuitive UX — and experience partnering tightly with design teams to deliver products that feel effortless and delight users. Strategic Mindset: Ability to craft bold, long-term product strategies and drive them through clear, actionable roadmaps. Exceptional Communicator: Skilled at making complex ideas simple — whether you’re talking to engineers, executives, or customers. Cross-Functional Leader: Experienced at rallying teams, managing stakeholders, and keeping momentum high in fast-moving environments. Startup DNA: Action-oriented, resourceful, and adaptable - you’re energized by change and ready to roll up your sleeves to make things happen. Additional Job Details The base salary range for this position is $180k - $230k annually.  Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.    Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer.  We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow . Note: We have an in-office work environment in all our offices in SF, NYC, and London.  

Data Entry Specialist EKN Engineering is a civil engineering and technology consulting company located in Irvine, CA. We are looking for an experienced and enthusiastic Data Entry Specialist to join our Permits and Compliance Department. The ideal candidate will have a solid understanding of data entry processes and a keen eye for detail. In this role, you will be responsible for entering accurate and timely data into our database. You will be expected to work with a variety of data sources and maintain our database with up-to-date information. You will also be responsible for ensuring compliance with state and local regulations. We are seeking an organized and motivated individual who is comfortable in a fast-paced environment. A successful candidate will be able to multitask, adapt to change, and possess a strong work ethic. Responsibilities Reading of construction drawings and coordinating both internally and externally to understand the scope of work. Ensure accuracy and completeness of data and entering systems efficiently. Filling out permit applications and submitting documents for review. Sets permit expectations and deliver reporting in electronic format per customer. Ensure customer data is accurately generated, tracked, and delivered in accordance with the scope of work and/or other customer contractual requirements. Regularly updating databases and tracking all tasks accurately. Monitoring workload and adhering to upcoming deadlines. Troubleshooting data entry issues and resolving them in a timely manner. Helping in the development and implementation of data entry procedures and systems. Coordinate and communicate with the internal team regularly. Assisting with other administrative tasks or projects as needed.   Qualifications Proficiency with Microsoft Office Proven experience in data entry and data analysis Strong knowledge of database management systems Excellent verbal and written communication skills The ability to work with minimal supervision Strong attention to detail and accuracy       The hourly rate for this role ranges from $19/hour to $22/hour, depending on experience.     Public Warning: Recruitment Phishing Scam Impersonating EKN Engineering EKN Engineering has become aware of a phishing scheme targeting individuals with fraudulent interview requests and job offers. EKN’s secure IT systems and private applicant information have not been compromised; scammers are impersonating EKN employees, using the company name and branding to mislead and engage potential job seekers in fake recruitment processes. Scammers might reference real job openings or describe fake opportunities that generally match individuals’ professional backgrounds, with the goal of establishing communication and eventually obtaining private financial information to defraud people. The Federal Bureau of Investigation and Federal Trade Commission warn that employment scams such as this are a growing cyber threat. EKN urges anyone who is contacted about employment opportunities to exercise caution and know that: · All communication from EKN Engineering will be from an EKN employee using the @eknengineering.com email domain. We do not use third-party recruiters. · EKN Engineering recruiters will only schedule interviews for candidates who have applied for a position through our secure portal. · No corporate or IT systems at EKN are affected by this scam. The scammers are using EKN’s logo and employee names to impersonate the company. · You can directly contact us at TalentAcquisition@eknengineering.com with any questions or concerns. EKN is committed to ensuring the safety and security of our community. We caution individuals to be vigilant in protecting personal data and vetting communication with new contacts from any company. Do not respond or provide any personal information if contacted by someone claiming to represent a company to which you did not submit a job application or profile. This scam can be perpetrated against any business and individuals who recognize and trust its name. For information on EKN recruitment practices and policies, please visit our career page or email TalentAcquisition@eknengineering.com . To report a scam, visit: https://reportfraud.ftc.gov/.  

We appreciate you checking us out! Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service rep Thank you for checking us out! Work From Home Data Entry Research Panelist Jobs - Part Time, Full Time This is a remote work from home position perfect for those with any type of work background such as administrative assistant, data entry clerk, typing, customer service representative, drivers etc. We are seeking individuals who are looking for part time or full time work or side gigs to be connected with companies who are hiring employees directly to work from their homes. You will find both full-time and part-time remote opportunities in a variety of career fields. Legitimate Work From Home Data Entry Jobs are going to require that you have skills relevant to the position you are applying for. Training is provided based on the position. JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn You must apply on our website as well so please look out for an email from us once you apply. Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We look forward to working with you! Connect with us via email by applying to this posting! Flexibility to participate in discussions on-line or in-person. No commute needed if you choose to work from residence. No minimum hours. You can do this part-time or full-time Enjoy cost-free samples from our sponsors and partners for your feedback on their products. Click the 'Apply' button to make an application for this position now. This position is open to anyone looking for short-term, work at home, part-time or full-time job. The hrs are adaptable and no previous experience is required. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, call facility representative, and so on. If you are seeking a versatile part-time remote work from home job, this is a wonderful position for making a good side revenue.s or drivers. Unleash your skillset within an accommodating role that can be managed from any location! Are you searching for a new way to make money? Look no further – we are seeking individuals now who can work remotely from their own homes! Whether it's part-time or full-time, discover an opportunity that works best with your schedule. You will find both full-time and part-time remote opportunities in a variety of career fields. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Companies providing these jobs offer comprehensive training to the successful applicant so they can excel at their role! JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) Applying on our website is necessary to ensure you receive important updates from us. Keep an eye out for emails with further instructions! To get started, these are the essential elements you'll need! LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We're eager to collaborate with you! Take the next step and reach out via email--apply now for a position today! Take control of your work schedule with our flexible position that allows for remote or in-person participation. With no minimum hours, you can choose to tackle this role part time or full time from the comfort of home. Plus, gain exclusive access to complimentary samples from sponsors and partners as a reward for offering valuable feedback on their products! Act now by clicking 'Apply' and launch into an exciting new work at home job today! This position is open to anyone looking for short-term, work at home, part-time or full-time job. Do you want to add an extra stream of income ? Let us help! By participating in our paid market survey, people from all walks of life can earn some money. No prior experience is needed and the hours are flexible—perfect for those looking for a part-time job they can do remotely. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning!

Work From Home, Entry Level Data Entry Clerk As A Research Participant We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer. We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly – work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician Requirements: Education varies by study - all education levels accepted Current USA resident Speak, read and understand English / Spanish a plus as more opportunity is available to you Able to focus and follow through This is a remote work from home part time gig, you'll need a computer, laptop or mobile device. Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory Pay Info: Up to 250 hr. per single research study session up to $3,000 per multi-session research study We look forward to working with you! Connect with us via email by applying to this posting! This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

Work From Home, Entry Level Data Entry Clerk As A Research Participant We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer. We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly – work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician Requirements: Education varies by study - all education levels accepted Current USA resident Speak, read and understand English / Spanish a plus as more opportunity is available to you Able to focus and follow through This is a remote work from home part time gig, you'll need a computer, laptop or mobile device. Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory Pay Info: Up to 250 hr. per single research study session up to $3,000 per multi-session research study We look forward to working with you! Connect with us via email by applying to this posting! This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

We appreciate you checking us out! Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers. Unleash your skillset within an accommodating role that can be managed from any location! Are you searching for a new way to make money? Look no further – we are seeking individuals now who can work remotely from their own homes! Whether it's part-time or full-time, discover an opportunity that works best with your schedule. You will find both full-time and part-time remote opportunities in a variety of career fields. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Companies providing these jobs offer comprehensive training to the successful applicant so they can excel at their role! JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) Applying on our website is necessary to ensure you receive important updates from us. Keep an eye out for emails with further instructions! To get started, these are the essential elements you'll need! LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We're eager to collaborate with you! Take the next step and reach out via email--apply now for a position today! Take control of your work schedule with our flexible position that allows for remote or in-person participation. With no minimum hours, you can choose to tackle this role part time or full time from the comfort of home. Plus, gain exclusive access to complimentary samples from sponsors and partners as a reward for offering valuable feedback on their products! Act now by clicking 'Apply' and launch into an exciting new work at home job today! This position is open to anyone looking for short-term, work at home, part-time or full-time job. Do you want to add an extra stream of income ? Let us help! By participating in our paid market survey, people from all walks of life can earn some money. No prior experience is needed and the hours are flexible—perfect for those looking for a part-time job they can do remotely. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning!

Work From Home, Entry Level Data Entry Clerk As A Research Participant We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer. We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly – work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician Requirements: Education varies by study - all education levels accepted Current USA resident Speak, read and understand English / Spanish a plus as more opportunity is available to you Able to focus and follow through This is a remote work from home part time gig, you'll need a computer, laptop or mobile device. Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory Pay Info: Up to 250 hr. per single research study session up to $3,000 per multi-session research study We look forward to working with you! Connect with us via email by applying to this posting! This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs. We're looking for folks who want to earn weekly doing something strictly online and with maximum flexibility. This is a great way to earn extra money in your spare time by working at home! For more information apply to our job posting and then look for email to apply to our online site. * You must apply online additionally. Benefits Work when you want. Earn serious cash working part time or full time. Learn new skills that you can take anywhere. Ditch the commute & the high gas prices No degree required Supplement your existing job. No need to quit your current job, unless you really hate it. We provide training and tools to help you succeed in this industry Excellent gig for Stay at home moms, retired folks, disabled people and anyone looking to learn how to make income online. Much more... Remote work from home skills could include: Typing 25+ words per minute You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Computer with internet access It is crucial that you be self-motivated and able to follow explicit directions to begin working from home Self Motivated - you must be 100% able to commit to working with little supervision Work from home jobs of this nature require Internet and one of the following: Laptop or PC, MAC, or Smart Device - Android or IOS Ready to get started? Apply today and start earning as quick as today. Thanks for checking us out and we look forward to helping you achieve your goal of earning extra side income. As a reminder the folks who work with us come from a wide variety of backgrounds like customer service representative, administrative assistant, health care workers, human resources, warehouse workers, car delivery drivers, remote work from home professionals, and many more.

We appreciate you checking us out! Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers. Unleash your skillset within an accommodating role that can be managed from any location! Are you searching for a new way to make money? Look no further – we are seeking individuals now who can work remotely from their own homes! Whether it's part-time or full-time, discover an opportunity that works best with your schedule. You will find both full-time and part-time remote opportunities in a variety of career fields. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Companies providing these jobs offer comprehensive training to the successful applicant so they can excel at their role! JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) Applying on our website is necessary to ensure you receive important updates from us. Keep an eye out for emails with further instructions! To get started, these are the essential elements you'll need! LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We're eager to collaborate with you! Take the next step and reach out via email--apply now for a position today! Take control of your work schedule with our flexible position that allows for remote or in-person participation. With no minimum hours, you can choose to tackle this role part time or full time from the comfort of home. Plus, gain exclusive access to complimentary samples from sponsors and partners as a reward for offering valuable feedback on their products! Act now by clicking 'Apply' and launch into an exciting new work at home job today! This position is open to anyone looking for short-term, work at home, part-time or full-time job. Do you want to add an extra stream of income ? Let us help! By participating in our paid market survey, people from all walks of life can earn some money. No prior experience is needed and the hours are flexible—perfect for those looking for a part-time job they can do remotely. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning!

Associate Technical Program Manager - Clinical Data Onboarding  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   We are looking for a Technical Program Manager that has a combination of technical expertise, project management skills, and a deep understanding of data systems and processes.   This role will oversee and coordinate data onboarding efforts while taking an active role in strategic and tactical initiatives to optimize and automate the onboarding workflow.  What You'll Do: Support the onboarding data integration lifecycle for member health systems. Identify opportunities to enable scalable approach towards data onboarding, encompassing both internal processes that support our health system members as well as those that involve direct member engagement. Collaborate with stakeholders to elicit, analyze, and document business and technical requirements that will enable onboarding efficiencies. Ensure action items, tasks and deliverables are completed on-time and to the quality bar expected by our partners. Key Qualifications 0-2 years of technical program or product management experience 1 year leading or participating in data projects S. or M.S. in Computer Science or related field Excellent project management skills Understanding of ETL processes and data modeling Comfortable (and thrive) with uncertainty Excellent written and verbal communication skills to effectively collaborate concepts with Product Management, Engineering and Data teams 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 $95,000 to $105,000. 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.  

Data Analyst, Partner Research & Success 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 . Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere.  In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote 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   The Analytics Response Team (ART) sits within Truveta’s broader Partner Analytics team and plays a critical role in coordinating with internal teams and supporting customers to get fast, high-quality answers from Truveta data. As a Partner Data Analyst on the ART team, you will help ensure customers find value in the data, support issue investigation, and build confidence in the platform through efficient, responsive analytics. You will support data quality efforts, conduct analyses, answer customer questions, and support new data releases. You will be solving consequential problems in healthcare using an EHR database of ~100 million patients (and growing!) and make an impact on patient care. As a Partner Data Analyst, you will work at the intersection of EHR data knowledge and efficient data delivery. You’ll support feasibility analyses, quickly summarize patient populations, and assist in identifying and tracking data issues. This position is ideal for someone with hands-on experience working with EHR or healthcare data, strong data wrangling skills, and a passion for translating data into actionable insights.   Responsibilities Wrangle large healthcare datasets and translating clinical concepts into structured queries. Summarize populations and generate feasibility numbers from clinical data quickly and accurately. Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline. Collaborate with life science, academic research organizations, and health system partners to conduct analyses. Collaborate with success managers and support team to ensure that Truveta partners can be successful with the platform. Provide technical analytics support and directly work with customers on calls to troubleshoot code and platform questions. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions. Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers. Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap. Required Skills Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field. Experience working with large relational database consisting of millions of patients' data. 2+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQL, R and Python. Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, NDC or RxNorm. Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. Experience working with customers delivering high quality research analyses. Ability to learn and adapt quickly in a dynamic start-up environment. Preferred Qualifications These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.   Experience working with unstructured clinical data or natural language processing outputs Spark/PySpark experience Regex query writing experience Experience building cohort definitions or eligibility criteria for research studies or trial design 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 $105,000 to $130,000. 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.  

Flow Traders is looking for a Core Data Engineer to own the end-to-end lifecycle of our most fundamental data products. As the architect and guardian of our most valuable data, you will have a unique opportunity to make your mark on Flow Traders. High-quality data products offer substantial benefits that impact every division in our firm, playing a vital role in delivering on our strategic growth initiatives. You will be accountable for delivering these data products at an exceptional level of quality, ensuring that they are not only timely and pristine, but powerful enough to drive Flow Traders’ future growth.   What you will do Be accountable for timely and high-quality delivery of core data products to the rest of the organization Develop and own the end-to-end lifecycle of these data products Define and manage project plans to assume ownership of these data products Create and refine a common data model (esp. identifiers, normalized schemas, use of master data) across these data products Investigate currently available sources of data and ensure that Flow extracts maximum information and value from them Explore, evaluate, and onboard additional sources of available data (both independently and at the request of stakeholders)   What you need to succeed Excellent programming skills (any language, Python preferred) Working proficiency with Linux, SQL and relational databases, and version control systems Demonstrated ability to work with large datasets and familiarity with big data solutions Experience with Airflow, Kafka, and GCP (esp. GKE, Dataproc, and Big Query) highly desired Experience with Pandas, Spark, Apache Beam, Apache NiFi a plus Innate drive to generalize, systematize, and automate Strong interpersonal skills, works very well with both technical and non-technical stakeholders Ability to balance individual stakeholder demands in order to preserve quality and wide applicability of data Organized and able to define, manage, and execute projects (often several in parallel) while effectively triaging operational concerns       At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities. When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set. We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company’s success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution.   The total compensation for this role includes a base of $150,000 - $200,000 plus annual discretionary variable remuneration.   Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.  

Staff Software Engineer, Data Persistence As a Staff Software Engineer on Data Persistence, you will play a critical role in designing, building, and optimizing the data systems that power our enterprise SaaS platform. You will lead initiatives to enhance the  scalability, performance, and availability of our cloud-native, distributed data architecture while ensuring a best-in-class developer experience. You will collaborate closely with engineering teams to develop efficient, resilient, and high-performance data solutions that support real-world customer workloads. Your expertise in relational databases, distributed storage, and high-availability architectures will help shape the foundation of our data persistence strategy. This role requires you to be work authorized in the United States without the need for employer sponsorship. What will you do? Guide the evolution of our data persistence architecture to meet best-in-class durability, availability, and recovery objectives. Architect and optimize data storage solutions for performance, scalability, and reliability across a multi-tenant, cloud-native infrastructure. Enhance and optimize relational databases (PostgreSQL) for query performance, indexing strategies, and schema evolution. Design and implement data partitioning, caching, and indexing strategies to support high-throughput, low-latency applications. Drive RPO/RTO improvements, ensuring high availability, failover, and disaster recovery plans are in place. Develop efficient data access patterns and work closely with application teams to improve performance at the application layer. Optimize analytics workloads, including views, materialized views, and columnar storage. Improve observability by investing in database monitoring, automation, and performance telemetry. Seek cost optimizations in database infrastructure, balancing performance and efficiency. Mentor engineers and contribute to a collaborative culture of technical excellence. Desired Skills and Experience 10+ years of experience in software or infrastructure engineering, with a strong background in data persistence, distributed systems, or database engineering. Deep expertise in relational databases, particularly PostgreSQL (or similar), including query optimization, indexing, and schema design. Experience with NoSQL, in-memory databases, and search indexes (e.g., Redis, Elasticsearch, OpenSearch). Strong grasp of high availability, disaster recovery, and failover strategies (RPO/RTO). Proficiency in database lifecycle management, including upgrades, migrations, and multi-region replication. Experience with AWS cloud-native architectures, including services like Aurora RDS, S3, Route53, and Lambda. Proficiency in at least one programming language (Java, Kotlin, Python, TypeScript).  Understanding of observability tools (DataDog), database monitoring, and performance telemetry. Ability to balance short-term deliverables with a long-term architectural vision. Excellent communication and problem-solving skills. A strong desire to work in a collaborative, learning-focused, and fun environment. Nice to Have Experience with columnar stores and big data processing frameworks. Background in event-driven architectures (Kafka, Pub/Sub). Hands-on experience with data warehousing solutions (Snowflake, BigQuery, Redshift). Familiarity with Kubernetes and microservices-based architectures. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded in 2017 by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to address the unique technology challenges of an industry in need of new thinking. We are building a modern platform in the public cloud, purpose-built for the investment management industry to empower business like never before.  Headquartered in Lake Tahoe with offices in Reno, Manhattan, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by LinkedIn as a “Top U.S. Startup,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits  The typical starting salary range for new hires in this role is targeted at $175,000-$212,500. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.  As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.  In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our  Careers page for a more comprehensive overview of our perks and benefits.  

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

Senior Software Engineer, Data Persistence As a Senior Software Engineer on Data Persistence, you will play a critical role in designing, building, and optimizing the data systems that power our enterprise SaaS platform. You will lead initiatives to enhance the scalability, performance, and availability of our cloud-native, distributed data architecture while ensuring a best-in-class developer experience. You will collaborate closely with engineering teams to develop efficient, resilient, and high-performance data solutions that support real-world customer workloads. Your expertise in relational databases, distributed storage, and high-availability architectures will help shape the foundation of our data persistence strategy. This role requires you to be work authorized in the United States without the need for employer sponsorship. What will you do? Guide the evolution of our data persistence architecture to meet best-in-class durability, availability, and recovery objectives. Architect and optimize data storage solutions for performance, scalability, and reliability across a multi-tenant, cloud-native infrastructure. Enhance and optimize relational databases (PostgreSQL) for query performance, indexing strategies, and schema evolution. Design and implement data partitioning, caching, and indexing strategies to support high-throughput, low-latency applications. Drive RPO/RTO improvements, ensuring high availability, failover, and disaster recovery plans are in place. Develop efficient data access patterns and work closely with application teams to improve performance at the application layer. Optimize analytics workloads, including views, materialized views, and columnar storage. Improve observability by investing in database monitoring, automation, and performance telemetry. Seek cost optimizations in database infrastructure, balancing performance and efficiency. Mentor engineers and contribute to a collaborative culture of technical excellence. Desired Skills and Experience 5+ years of experience in software or infrastructure engineering, with a strong background in data persistence, distributed systems, or database engineering. Solid expertise in relational databases, particularly PostgreSQL (or similar), including query optimization, indexing, and schema design. Experience with NoSQL, in-memory databases, and search indexes (e.g., Redis, Elasticsearch, OpenSearch). Strong grasp of high availability, disaster recovery, and failover strategies (RPO/RTO). Experience with AWS cloud-native architectures, including services like Aurora RDS, S3, Route53, and Lambda. Proficiency in at least one programming language (Java,Kotlin, Python, TypeScript).  Understanding of observability tools (DataDog), database monitoring, and performance telemetry. Ability to balance short-term deliverables with a long-term architectural vision. Excellent communication and problem-solving skills. A strong desire to work in a collaborative, learning-focused, and fun environment. Nice to Have Experience with columnar stores and big data processing frameworks. Background in event-driven architectures (Kafka, Pub/Sub). Hands-on experience with data warehousing solutions (Snowflake, BigQuery, Redshift). Familiarity with Kubernetes and microservices-based architectures. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded in 2017 by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to address the unique technology challenges of an industry in need of new thinking. We are building a modern platform in the public cloud, purpose-built for the investment management industry to empower business like never before.  Headquartered in Lake Tahoe with offices in Reno, Manhattan, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by LinkedIn as a “Top U.S. Startup,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits  The typical starting salary range for new hires in this role is targeted at $140,000-$167,500. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.  As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.  In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our  Careers page for a more comprehensive overview of our perks and benefits.  

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Clinical Research Data Specialist to work at UHealth Medical Campus in Miami, FL 33136. The Clinical Research Data Specialist assists in creating, updating, and maintaining research charts and case report forms, including regulatory related issues, in accordance with department standard operating procedures, under the supervision of the Principal Investigator (PI) and supervisor. The Clinical Research Data Specialist is responsible for the compilation, registration and submission of data, monitoring compliance with the protocol, adherence to SOPs, and all applicable regulations and guidelines. CORE JOB FUNCTIONS: Extracts clinical data and research data from electronic medical records and other sources and enters this data in the clinical paper-based or electronic data capture system for each assigned study. Manages a workload of studies commensurate to level of experience Answers data clarifications (i.e. data queries) for each study. Schedules and meets with study monitors and assures patient cases are ready for each monitor visit and items are addressed after each monitoring visit. Develops source data worksheets specific to each assigned study. Assures clinical issues from monitoring reports are addressed and closed out before the next monitoring visit. Assures all study requirements are documented and meet both internal and external regulations in accordance with protocol guidelines. Maintains logs (i.e. TAS submissions, Velos etc.) in a timely manner according to department SOPs. Participates in site initiation visits (SIV), monitoring visits and participates in site disease group (SDG) team and PI oversight meetings as required. Assists multidisciplinary team in research activities. Maintains study binders and filings according to protocol requirements and department policy. Adheres to all UM and department policies and procedures. Compiles patient data for Investigator review to determine patient eligibility for protocol enrollment. Maintains screening, enrollment, adverse event, deviation, tumor measurement, concomitant medication, delegation and other sponsor and/or protocol specific logs. Ensures work environment is organized and functions efficiently. Participates in a collaborative, empowered work environment as demonstrated through teamwork. Demonstrates a level of professional practice that supports the delivery of appropriate care and positive working relationships throughout the medical center. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: High school diploma or equivalent required Experience: No experience required Knowledge, Skills and Attitudes: Skill in completing assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while meeting deadlines. Ability to process and handle confidential information with discretion. Ability to work evenings, nights, and weekends as necessary. Commitment to the University's core values. Ability to work independently and/or in a collaborative environment. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A6