\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

Location: We are flexible! Come and join us either in Hamburg or Berlin*\n\nAre you passionate about data engineering and ready to revolutionize how data is managed and utilized within an organization? We are looking for a skilled and innovative Data Engineer to join our dynamic team and help us implement a cutting-edge Data Mesh architecture.\n\nAt FREE NOW we believe in data driven decisions that drive our business forward. We are currently transitioning into a data mesh architecture to establish a very close collaboration between data engineers, data analysts, data scientists and machine learning engineers.\n\nYOUR DAILY ADVENTURES WILL INCLUDE:\n\n\n* Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to understand data requirements and design optimal data solutions in the Data Mesh environment.\n\n* Develop, implement, and maintain scalable data products that enable the seamless flow of data from various sources to the Data Mesh architecture.\n\n* Create and manage data models that cater to the specific needs of data consumers while adhering to data governance and security standards.\n\n* Design and build data quality monitoring frameworks to ensure data accuracy, consistency, and reliability.\n\n* Stay updated with the latest industry trends and best practices in Data Engineering and Data Mesh to continuously improve data pipelines and processes.\n\n* Build high-performance APIs to access and query data from data warehouse.\n\n* Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.\n\n\n\n\nTO BE SUCCESSFUL IN THIS ROLE...\n\n\n* You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Scala and Python.\n\n* Expert level of SQL (especially SparkSQL) and Datawarehouse concept, Database. Experience in building data pipelines is a core requirement. Love getting your hands dirty with the data implementing custom ETLs to craft it into information\n\n* You have knowledge of distributed system, Lambda, AWS S3, AWS Cloud watch ...\n\n* Experience with AWS, Hive, Spark, Trino, Databricks is helpful.\n\n* Enjoy working with stream processing frameworks like Spark structured streaming, Kafka streams.\n\n* You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by many customers, your attention to detail leads to a delightful user experience.\n\n* Fluent proficiency in Business English\n\n* Exceptional analytical skills, lateral thinking and experience in solving challenging problems. Experiences in working with Data Visualisation tools (e.g. Tableau, Metabase) is a plus\n\n\n\n\nBENEFITS & PERKS IN A NUTSHELL:\n\n\n\n\n\n\n* Fully remote* or hybrid working models\n\n\n\n\n\n\n\n* Subsidised gym membership\n\n\n\n\n\n\n\n\n\n* Sabbatical & time off\n\n\n\n\n\n\n\n* Partner product discounts\n\n\n\n\n\n\n\n\n\n* Birthday-off\n\n\n\n\n\n\n\n* Employee assistance program\n\n\n\n\n\n\n\n\n\n* Mobility budget for FREENOW App\n\n\n\n\n\n\n \n\n\n\n\n\nPlus more local benefits depending on your work location!\n\n\n\n\n\n* or in one of the countries where we have a legal entity in!\n\nBENEFITS & PERKS IN A NUTSHELL:\n\n\n\n\n\n\nFully remote* or hybrid working models\n\n\n\n\n\n\n\nFree Udemy e-learning access\n\n\n\n\n\n\n\n\n\nSabbatical & special leave policies\n\n\n\n\n\n\n\nSubsidised gym membership\n\n\n\n\n\n\n\n\n\nBirthday, 24th + 31st December off\n\n\n\n\n\n\n\nPartner product discounts\n\n\n\n\n\n\n\n\n\nMobility benefits card \n\n\n\n\n \n\n\n\n\n\nEmployee assistance program\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\nPlus more local benefits depending on your work location!\n\n\n\n\n\n \n\nDIVERSITY, EQUITY & INCLUSION:\n\nFREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. \nWe want you to grow and evolve, bring your true self to work. \n\n\n\nSEE WHAT OUR AWESOME COLLEAGUES SAY ABOUT US:\n\n                \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, API, Senior, Marketing and Engineer jobs that are similar:\n\n $65,000 — $110,000/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\nBerlin, Berlin, Germany

\nAirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona. \n\n\nOur self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape. \n\n\nWe also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. \n\n\nWe track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world. \n\n\nWe’re firm believers that data isn’t the destination; it’s the starting point. The launchpad. The bedrock for any future-forward business.\n\n\nThe AirDNA Team\nAt AirDNA, we’re a team of data nerds on a mission to empower our customers to smartly grow their businesses. And we're looking for people with a broad range of experiences and perspectives, who are excited by our mission, values, and drive to change the short-term rental market. In short: Life is never boring here. And we genuinely live and breathe our company values: Happy, Hungry and Honest. People who are ready to exemplify these values are especially encouraged to apply. We invite you to apply even if you are unsure about whether you meet every single requirement in this posting. We carefully consider every application, not just those that check off all the boxes.\n\n\nThe Role\nAirDNA is looking for a Senior Data Engineer to help us build a solid and scalable data infrastructure and analytical environment. The ideal candidate enjoys data wrangling, optimizing data pipelines, and building solutions for data collections and analysis in parallelized and scaled out environments. The AirDNA infrastructure currently processes billions of data points and hosts databases well into terabyte-size ranges, making this an interesting and challenging opportunity.\n\n\n\nHere's what you'll get to do\n* Build and extend data pipelines, written in Scala and running on Spark\n* Tune Spark job performance \n* Write clean, performant Scala code\n* Work closely with our Product, Data Science and other Engineering teams to craft new products\n* Contribute to Python and Scala-based microservices running on kubernetes\n\n\n\nHere's what you'll need to be successful\n* 5 or more years of experience in a Data Engineer role\n* BS/BA in Computer Science\n* Experience developing cloud based pipelines\n* Strong experience with Spark\n* Experience with Scala, and exposure to Python\n* Experience with developing and deploying cloud-based data solutions\n* Experience in any of the following is considered to be an asset: streaming technology such as Kafka or Google Pub/Sub, Databricks, AWS / GCP, Postgres, Protobuf, Snowflake or other Data Warehousing solutions, and Test Driven Development \n* Ability to operate with strong ownership and independence\n\n\n\nTech stack\n* Scala\n* Python\n* Spark\n* Databricks\n* AWS EMR, Athena, RDS (Postgres), Redshift, and S3\n\n\n\nJob perks\n* Competitive cash compensation and benefits,  the salary range for this position is €100,000 - €120,000 per year. \n* Eligible for Company’s annual discretionary bonus program\n* 36 holidays per year\n* Continuing education stipend\n* Talented international team and a vibrant work environment\n* Bottom-up management: we listen to your ideas and implement them\n* Team building events\n* Dog friendly office!\n\n\n\n\n\nAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. \n\n\nWe are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email [email protected]. Please allow for 24 hours to process your request. \n\n\nBy applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Notice for Applicants. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Travel, Education, Cloud, Senior, Marketing and Engineer jobs that are similar:\n\n $70,000 — $110,000/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\nEU

\nAbout Foursquare \n\nFoursquare is the leading independent location technology and data cloud platform, dedicated to building meaningful bridges between digital spaces and physical places. Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes. A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by our mobile apps CityGuide and Swarm, as well as the world’s largest enterprises and most recognizable brands, like Amazon, Microsoft, Samsung, Spotify, Uber, Airbnb and others.\n\nFoursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio).\n\nAbout This Position: \n\nFoursquare’s Enterprise Sales team takes on the challenges of working with the world’s largest companies to leverage Foursquare Places and the power of the Foursquare Movement SDK. We build tools and products that allow employees and clients to derive rich and meaningful insights about the real world. \n\nAs a Sales Engineer at Foursquare, you would be responsible for assisting to sell Foursquare’s products and grow our client base with a focus on Enterprise clients. You would be a leader at understanding our customers’ and prospects’ needs, landscape of location technologies and use cases and developing the appropriate solution footprint and benefit assessment. This involves performing the necessary needs assessment and analysis to clearly define the business objectives and capabilities, and demonstrating how those requirements are supported using Foursquare’s products.\n\nIn this role, you’ll: \n\n\n* Partner with the Enterprise Sales team during the sales process to assist in developing account/opportunity strategies, planning and execution \n\n* Utilize strong business acumen & technical ability to understand and communicate product/technical requirements and solutions strategy to enterprise customers and prospects.\n\n\n\n\n\n* Leverage your technical skill by using either SQL, Spark or Scala to query our datasets prepare evaluation samples for prospects.\n\n* Provide customer specific product demonstrations in support of requirements and business cases \n\n* Prepare and deliver custom datasets to prospective customers and partners as you communicate the value of Foursquare solutions\n\n* Offer guidance on technical aspects of Foursquare’s solution as part of the sales process. Present yourself as a code-native with a “just do it” attitude; although you’re joining a BD team, you’re as technically-minded as any software engineer\n\n* Share a deep understanding of APIs, mobile development, and back-end architecture; you understand the tradeoffs that customers’ engineers make every day and can help them make the best decisions \n\n* Help shape the evolution of our solutions by partnering with Account Management, Product Management, Product Marketing and Engineering teams \n\n\n\n\nWhat you’ll need:\n\n\n* 3+ years of experience in a similar role or proven success as a technical subject matter expert.\n\n* 3+ years of relevant experience working with modern technologies, like SQL, Python, Scala, RESTful APIs, mobile, and cloud platforms \n\n* 3+ years of working within a multi-product, enterprise-focused organization \n\n* Bachelor’s degree in Business, Computer Science, or another technical field \n\n* Strong data analysis skills, and the ability to identify trends, outliers, correlations and reconciliation needs across large data sets \n\n* Drive to keep current with technology trends and understand the competitive landscape \n\n* Passion for technology and a love for working in a fast-paced environment \n\n* Ability to deliver and communicate technical topics to a business audience, and vice versa \n\n* Ability to work independently, while managing multiple accounts and projects simultaneously; you are able to juggle many tasks at the same time, while prioritizing and having a sense of urgency \n\n* Intellectual curiosity, great problem-solving skills and passion for continuous improvement \n\n* Ability to travel as required, approximately 20% of the time \n\n* Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply!\n\n\n\n\nBenefits and Perks:\n\n\n* Flexible PTO - rest and recharge when you need it!\n\n* Industry Leading Healthcare - comprehensive and competitive health, vision, dental, life insurance\n\n* Savings and Investments - 401(k) with company match\n\n* Equipment Setup - you will receive all necessary hardware for your job function\n\n* Professional Development - annual learning stipend for your career development goals\n\n* Family Planning and Fertility Programs - programs via Carrot \n\n* Employee Resource Groups - to help you stay connected\n\n* Hybrid Work Schedule for in-person collaboration on Tuesdays, Wednesdays, and Thursdays beginning April 1, 2024\n\n\n\n\nAt Foursquare, we are committed to providing competitive pay and benefits that are in line with industry and market standards.  Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years & depth of experience, and specific office location.\n\nThe annual total cash compensation range is $150,000- $185,000, however actual salaries can vary based on a candidate’s qualifications, skills and competencies, as well as location. \n\nSalary is just one component of Foursquare’s total compensation package, which includes restricted stock units, multiple health insurance options, and a wide range of benefits!\n \n\nThings to know…\n\nFoursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe in order to build the best products, we need a diversity of perspectives and backgrounds. This leads to a more delightful experience for our users and team members. We value listening to every voice and we encourage everyone to come be a part of building a company and products we love.\n\nFoursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.\n\nFoursquare Privacy Policy\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Scala, Mobile, Marketing, Sales and Engineer jobs that are similar:\n\n $57,500 — $110,000/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\nNew York City, New York, United States

\nIn the Senior Data Scientist role, you will have full ownership over the projects you tackle, contribute to solving a wide range of machine learning applications, and find opportunities where data can improve our platform and company. We are looking for an experienced and creative self-starter who executes well and can exhibit exceptional technical know-how and strong business sense to join our team. \n\n\nWHAT YOU'LL DO:\n\n\n* Mine and analyze data from company data stores to drive optimization and improvement of product development, marketing techniques and business strategies\n\n* Assess the effectiveness and accuracy of data sources and data gathering techniques\n\n* Develop and implement data cleansing and processing to evaluate and optimize data quality\n\n* Develop custom data models and algorithms to apply to data sets\n\n* Run complex SQL queries and existing automations to correlate disparate data to identify questions and pull critical information\n\n* Apply statistical analysis and machine learning to uncover new insights and predictive models for our clients\n\n* Develop company A/B testing framework and test model quality\n\n* Collaborate with data engineering and ETL teams to deploy models / algorithms in production environment for operations use\n\n* Develop processes and tools to monitor and analyze model performance and data accuracy\n\n* Ad-hoc analysis and present results in a clear manner\n\n* Create visualizations and storytelling\n\n* Communicate Statistical Analysis and Machine Learning Models to Executives and Clients\n\n* Create and manage APIs\n\n\n\n\nWHO YOU ARE:\n\n\n* 3-5+ years of relevant work experience\n\n* Extensive knowledge of Python and R\n\n* Clear understanding of various analytical functions (median, rank, etc.) and how to use them on data sets\n\n* Expertise in mathematics, statistics, correlation, data mining and predictive analysis\n\n* Experience with deep statistical insights and machine learning ( Bayesian, clustering, etc.)\n\n* Familiarity with AWS Cloud Computing including: EC2, S3, EMR.\n\n* Familiarity with Geospatial Analysis/GIS\n\n* Other experience with programming languages such as Java, Scala and/or C#\n\n* Proficiency using query languages such as SQL, Hive, and Presto\n\n* Familiarity with BDE (Spark/pyspark, MapReduce, or Hadoop)\n\n* Familiarity with software development tools and platforms (Git, Linux, etc.)\n\n* Proven ability to drive business results with data-based insights\n\n* Self-initiative and an entrepreneurial mindset\n\n* Strong communication skills\n\n* Passion for data\n\n\n\n\nWHAT WE OFFER:\n\n\n* Competitive Salary\n\n* Medical, Dental and Vision\n\n* 15 Days of PTO (Paid Time Off)\n\n* Lunch provided 2x a week \n\n* Snacks, snacks, snacks!\n\n* Casual dress code\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Cloud, Python, Scala, Marketing and Non Tech jobs that are similar:\n\n $70,000 — $125,000/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