\nAbout HighLevel:\nHighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have ~1200 employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.\n\n\nOur Website - https://www.gohighlevel.com/\nYouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g\nBlog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/\n\n\nOur Customers:\nHighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 500K businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.\n\n\nScale at HighLevel:\nWe operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage.\n\n\nAbout the Role:\nWe are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing, large-scale event-driven architectures, and integrations with various data systems. This role involves collaborating with cross-functional teams to ensure data reliability, scalability, and performance. The candidate will work closely with data scientists, analysts and software engineers to ensure efficient data flow and storage, enabling data-driven decision-making across the organisation.\n\n\n\nResponsibilities:\n* Software Engineering Excellence: Write clean, efficient, and maintainable code using JavaScript or Python while adhering to best practices and design patterns\n* Design, Build, and Maintain Systems: Develop robust software solutions and implement RESTful APIs that handle high volumes of data in real-time, leveraging message queues (Google Cloud Pub/Sub, Kafka, RabbitMQ) and event-driven architectures\n* Data Pipeline Development: Design, develop and maintain data pipelines (ETL/ELT) to process structured and unstructured data from various sources\n* Data Storage & Warehousing: Build and optimize databases, data lakes and data warehouses (e.g. Snowflake) for high-performance querying\n* Data Integration: Work with APIs, batch and streaming data sources to ingest and transform data\n* Performance Optimization: Optimize queries, indexing and partitioning for efficient data retrieval\n* Collaboration: Work with data analysts, data scientists, software developers and product teams to understand requirements and deliver scalable solutions\n* Monitoring & Debugging: Set up logging, monitoring, and alerting to ensure data pipelines run reliably\n* Ownership & Problem-Solving: Proactively identify issues or bottlenecks and propose innovative solutions to address them\n\n\n\nRequirements:\n* 3+ years of experience in software development\n* Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field\n* Strong Problem-Solving Skills: Ability to debug and optimize data processing workflows\n* Programming Fundamentals: Solid understanding of data structures, algorithms, and software design patterns\n* Software Engineering Experience: Demonstrated experience (SDE II/III level) in designing, developing, and delivering software solutions using modern languages and frameworks (Node.js, JavaScript, Python, TypeScript, SQL, Scala or Java)\n* ETL Tools & Frameworks: Experience with Airflow, dbt, Apache Spark, Kafka, Flink or similar technologies\n* Cloud Platforms: Hands-on experience with GCP (Pub/Sub, Dataflow, Cloud Storage) or AWS (S3, Glue, Redshift)\n* Databases & Warehousing: Strong experience with PostgreSQL, MySQL, Snowflake, and NoSQL databases (MongoDB, Firestore, ES)\n* Version Control & CI/CD: Familiarity with Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines for deployment\n* Communication: Excellent verbal and written communication skills, with the ability to work effectively in a collaborative environment\n* Experience with data visualization tools (e.g. Superset, Tableau), Terraform, IaC, ML/AI data pipelines and devops practices are a plus\n\n\n\n\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\n\n#LI-Remote #LI-NJ1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, JavaScript, Cloud, API, Marketing, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $90,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDelhi

\nPython Software Engineer, Boulder, Colorado, United States OR Remote within U.S. for well qualified candidates \n\n \n\nAbout Ascend \n\nAscend Analytics is an innovative climate technology software and consulting company focused on energy analytics to support an increasingly complex power grid. The company’s products enhance critical power supply decisions for an array of key energy market stakeholders, from short-term operating strategies to long-term investment and resource planning. Ascend recently announced a strategic growth investment from prominent software and climate technology investors Rubicon Technology Partners, a private equity firm which is focused on investing in and growing software companies, Galvanize Climate Solutions, which invests in companies and solutions advancing the energy transition, and Silversmith Capital Partners, a technology-focused growth equity firm. Read more about how the investment will accelerate Ascend’s product innovation here.  To learn more about Ascend, please visit us at www.ascendanalytics.com. \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\nJob Responsibilities \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\nRequired Qualifications\n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n5+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications\n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000            \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected]   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Design, Cloud, Junior, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBoulder, Colorado, United States

\nPython Engineer, Boulder, CO OR Remote within U.S. for well qualified candidates\n\n \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\n \n\nAscend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com. \n\nJob Responsibilities \n\nSupport and advance back-end software applications by: \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\n \n\nRequired Qualifications \n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n2+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications \n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000, we may also consider Junior candidates in the range of $80,000 - $110,000                \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected]   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Design, Consulting, Cloud, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBoulder, Colorado, United States