\nWe are seeking a highly motivated and experienced Data Engineer to join our Data Engineering team. In this role, you will be at the forefront of designing and developing scalable, robust data architectures and solutions utilizing the latest technologies from Google Cloud Platform (GCP) and AWS. You will collaborate closely with cross-functional teams to understand their data needs and develop well-designed and sustainable solutions. Your primary focus will be on identifying data gaps within our Accounting and Internal Audit functions and works with stakeholders to design tailored solutions that address long-standing data quality issues and automate manual processes.\n\nWhat You Get To Do Every Day\n\n\n* Regularly meet with stakeholders in Accounting and Internal Audit to deeply understand their requirements and objectives.\n\n* Analyze current financial reporting processes to identify and address data quality issues to ensure accurate and reliable data for decision-making.\n\n* Evaluate existing accounting processes to identify bottlenecks and inefficiencies and develop strategies for improvement.\n\n* Develop architectural diagrams, data flow diagrams and other essential design documents.\n\n* Assist in preparing cost-benefit analyses to help leadership make informed architectural decisions.\n\n* Advocate for the reuse of data assets and manage the data catalog for data consistency and discoverability.\n\n* Collaborate with various stakeholders in the company to design scalable and robust solutions using Google Cloud Platform (GCP) data services, GitHub and DBT. Develop detailed plans to implement these solutions effectively.\n\n* Leverage industry standards in Accounting and Finance to develop data solutions that streamline services for both operational and analytical purposes.\n\n* Create a comprehensive observability stack focused on monitoring and maintaining the health of accounting processes. Ensure proactive issue detection and remediation to support continuous process improvement.\n\n\n\n\nWhat You Bring To The Role\n\nMinimum Requirements:\n\n\n* At least 5 years of proven experience as a Data Engineer in a data-driven midsize to large corporations.\n\n* 4+ years proven track record of delivering large scale, high quality operational or analytical data systems.\n\n* Strong problem-solving skills and ability to analyze complex data requirements.Advanced-level proficiency in Python and SQL.\n\n* Advanced-level proficiency in Object Oriented Programming.\n\n* Hands-on prior experience with Google Cloud Platform (GCP) data services - Bigquery, Dataflow, Pub/Sub, Cloud Composer, Cloud Function and Cloud Storage.\n\n* Practical experience with DBT (Data Build Tool).\n\n* Strong proficiency in Github and Github Actions.\n\n* Excellent communication and collaboration skills.\n\n* Ability to work independently and quickly become productive after joining.\n\n\n\n\nPreferred Requirements:\n\n\n* Experience in the e-commerce industry.\n\n* Knowledge of accounting and finance data processes.\n\n* Familiarity with other cloud platforms and data engineering tools.\n\n\n\n\nGHR9246 #LI-MR10 #LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Finance, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $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\nSão Paulo, São Paulo, Brazil

\nAre you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? If so, Amazon Finance Technology (FinTech) is for you!\n\nFinTech is seeking a Data Engineer to join the team that is shaping the future of the finance data platform. The team is committed to building the next generation big data platform that will be one of the world's largest finance data warehouse to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Amazon has a culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. Our platform serves Amazon's finance, tax and accounting functions across the globe.\n\nAs a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.\n\nOur ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics. In this role you will be part of a team of engineers to create world's largest financial data warehouses and BI tools for Amazon's expanding global footprint.\n\nBASIC QUALIFICATIONS\n\n· 3+ years of experience as a Data Engineer or in a similar role\n· Experience with data modeling, data warehousing, and building ETL pipelines\n· Experience in SQL\n· Bachelor’s degree in Computer Science or related technical field\n· 4+ years combined experience in Data Warehousing and Big Data Systems\n· Solid understanding and experience with at least one MPP Database (Redshift / Teradata / Netezza / Snowflake / etc.)\n· Experience with Big Data Systems (Hadoop / Map Reduce / HDFS / Pig)\n· Excellent knowledge of SQL (ANSI / Spark / Hive / etc.)\n· Hands on experience with one of the scripting languages (Java / Python / etc.)\n· Experience with one of the business intelligence reporting tools (OBIEE / Tableau / etc.)\n\nPREFERRED QUALIFICATIONS\n\n· Master’s degree in Computer Science or related technical field\n· Experience with AWS Technologies (EMR / S3 / Glue / Spectrum / etc.)\n· Experience with Object Oriented designing\n· Strong organizational and multitasking skills with ability to balance multiple priorities.\n\nAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.\n\nWe believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Engineer, Accounting, Amazon, Finance and Python jobs that are similar:\n\n $70,000 — $120,000/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

\nSenior Python Engineer\nLocation: Flexible\nFull-time\nCleanCapital is a leading clean energy investment platform that uses software and data to make it easy to invest in clean energy. CleanCapital has built a proprietary technology platform that identifies, screens, and manages clean energy projects providing project owners and developers with access to liquidity and capital.\nOur firm owns and manages nearly $500M of distributed operating solar assets. By leveraging our platform to evaluate renewable energy investments with speed and certainty, we enable project owners an opportunity to exit their portfolios while providing accredited investors, including institutional investors, unique access to the clean energy investment market. Our mission is to accelerate investment in all sectors of clean energy to address the urgent threat of climate change.\nThe Opportunity\nWe currently use our in-house platform to perform diligence with sellers and investors. We are looking for a senior Python engineer to help us integrate the platform with asset management and finance / accounting systems, and to help us curate the metadata we generate for each of our solar projects. \nYou will help us build, grow, and integrate the platform. You will have the opportunity to apply your skills to develop robust, scalable, and easy-to-use software. We provide the freedom to learn, execute, and pivot.  \nAbout You\n* You have experience in building distributed and scalable software using Python.\n* You have demonstrated success in partnering with key stakeholders in previous roles.\n* You have created a data model and helped to plan a data management strategy.\n* You are comfortable working with an agile development environment.\n* You are comfortable working remotely with a distributed team.\n* You are willing to travel 2-3 times a year to work with the team in NYC or DC.\n\n\nNice to Have\n* Familiarity with clean energy or finance.\n* Experience with unstructured data.\n* A solid understanding of React and PostgreSQL.\n* Experience with R.\n\n\nReporting Relationships\nYou will report directly to the Chief Technology Officer.\nPhysical Demands\nThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nWork Environment\nIf you're not based in Washington DC we're happy to discuss working from home so you don't have to relocate.\nThe work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nThe noise level in the work environment is usually low.\nLocation\nThis role will be within the United States. Occasional travel expected.\nCleanCapital, LLC provides equal employment opportunities to all employees and applicants in all company facilities without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Senior, Engineer, Accounting, React, Finance, Travel and Medical jobs that are similar:\n\n $70,000 — $120,000/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