About Very Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time. We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance. We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process. About This Role As a Data Engineer at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our clients’ business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, as well as strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth. Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems. What You’ll Be Working On At Very, there is a never-ending supply of variety to the types of projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. Responsibilities • Design, build, and maintain data pipelines using Databricks Lakehouse • Understand our clients’ industries and work with the teams to deliver industry-relevant solutions • Collaborate with data scientists and analysts to understand data requirements and provide scalable solutions • Optimize and troubleshoot Spark core, partitioning, and logs • Utilize pandas for data manipulation and analysis • Implement delta format for efficient data storage and processing • Implement Azure/AWS services for ingestion, storage, and visualization Required Qualifications Unfortunately, applicants who do not meet these criteria will NOT be considered. Experience • 3-5 years of experience in data engineering or related roles • Hands-on experience with Databricks Lakehouse on Azure or AWS • Proficiency in Python and SQL, with advanced skills preferred for a senior role • Experience with Spark core, partitioning, and logs troubleshooting • Familiarity with pandas for data manipulation • Experience with delta format for data storage and processing • Experience with Git, and ideally Azure DevOps, for version control • Strong understanding of data warehouse modeling, database design patterns, and table design patterns • Experience with Azure Data Factory, Azure Data Lake Storage Gen2, and Azure Functions • Experience of AWS services such as IAM, EC2, S3, and Lambda is a plus • Experience with batch and stream ingestion processes is a plus • Experience designing and implementing automation tools and frameworks for continuous integration, delivery, and deployment is a plus • Experience with visualization tools such as Power BI is a plus Strong communication in English is required • • Compensation $60 USD/hr • Note: This role is based in Colombia, you must have a valid work permit. Contract Your contract with Very will be as an independent contractor for an indefinite period. This type of contract carries some additional responsibilities for you: You'll have to save some money to take care of taxes, and you'll have to pay for public social security (Health and Pension) out of pocket. That being said, we're confident that our competitive compensation and benefits will still mean that you are happy with your take-home amount at the end of each month. —--------------------------—---------------------------—--------------------------—------------------------ Why Work for Very You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team. Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be. How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect. But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture. Important • We don't currently provide Visa Sponsorship. Don't apply if you require this. • This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed. Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another. No agencies. Seriously.