Data Engineer
sweedpos.com
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Benefits offered by this job
Job summary
SweedPos is hiring a Data Engineer to join our remote-first team and scale our cannabis retail platform. You’ll design and maintain data pipelines, working with Airflow, Trino, ClickHouse, Spark and cloud infrastructure.
In this role you will collaborate with analytics and product teams, improve data reliability, and contribute to cost-effective data processing in a fast-growing startup.
Qualifications
- 3+ years of experience in data engineering or a related field.
- Strong proficiency in SQL and Python.
- Hands-on experience with Airflow for workflow management.
- OLAP databases, distributed query engines and data processing frameworks (ClickHouse, Trino, Spark) for analytical workloads.
- Familiarity with event-based data architectures and streaming (Spark, Flink).
- IaC: Terraform, Terragrunt for cloud infrastructure deployments.
- IaC: Helm, Kustomize, Argo CD for Kubernetes deployments.
- Experience with building and owning cloud infrastructure.
Responsibilities
- Design, build, and maintain data pipelines using Airflow and Trino to ingest and process data from multiple systems (databases, APIs, event streams, 3rd-party integrations).
- Improve observability - implement monitoring, validation, and alerting for pipelines to ensure accuracy and consistency.
- Develop and maintain the platform - deploy, monitor and maintain services in our AWS cloud.
- Collaborate with cross-functional teams - work closely with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver them effectively.
- Optimize performance and cost - fine-tune queries, pipelines, and storage for speed and efficiency.
Skills
Tools
Job description
We're SweedPos, a product-driven startup building an all-in-one cannabis retail platform. We’re on the lookout for a Data Engineer to join us remotely and help us scale and optimize our platform.
At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution—eliminating the need for multiple third-party tools.
We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving real business growth.
At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.
The industry is evolving rapidly, and we’re here to drive that transformation—making cannabis retail more efficient, accessible, and customer-friendly.
We’ve been on the market for 7 years, continuously growing and refining our product.
Our focus is on earning customer trust, which means constantly improving our delivery processes and rolling out new features. At the same time, we navigate the complex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.
Our total team size is over 200 people:
The development team is distributed globally and organized into cross-functional product teams. These teams typically consist of 8-12 members, including front-end and back-end developers, QA specialists, and analysts. Each team is led by a Team Lead and a Product Owner, ensuring effective collaboration and clear direction. Meanwhile, our CEO, account managers, and customer success team are based in the USA, working closely with us to align product development with business and user needs.
Our customers — cannabis retailers — rely on accurate, timely, and trustworthy data to run their business. From sales analytics to inventory tracking and operational reporting, our data pipelines are mission-critical.
As a Data Engineer, you’ll be at the center of our data ecosystem: ensuring that data flows from our product, integrations, and third-party systems into our analytics and operational platforms with speed, accuracy, and reliability. Your work will enable analysts, product teams, and leadership to make better decisions — and will directly impact the features our customers use every day.
- Design, build, and maintain data pipelines using Airflow, and Trino to ingest and process data from multiple systems (databases, APIs, event streams, 3rd-party integrations).
- Improve observability - implement monitoring, validation, and alerting for pipelines to ensure accuracy and consistency.
- Develop and maintain the platform - deploy, monitor and maintain services in our aws cloud
- Collaborate with cross-functional teams - work closely with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver them effectively.
- Optimize performance and cost - fine-tune queries, pipelines, and storage for speed and efficiency.
- 3+ years of experience in data engineering or a related field.
- Strong proficiency in SQL and Python.
- Hands-on experience with:
- Airflow for workflow management
- OLAP databases, distributed query engines and data processing frameworks (clickhouse, trino, spark etc) for analytical workloads
- Solid understanding of data modeling and data engineering best practices.
- Familiarity with event-based data architectures and streaming (spark, flink)
- Bonus points for:
- IaC: terraform, terragrunt for cloud infrastructure deployments
- IaC: helm, kustomize, argocd for k8s deployments
- Experience with building and owning cloud infrastructure
- Proactivity - We love team members who take initiative and provide feedback
- Critical thinking - We value problem-solvers who think beyond just writing code
- Adaptability - Our industry is evolving fast, and we need people who thrive in change
- Salary in USD (B2B contract with the US company)
- 100% remote - We’re a remote-first company, no offices needed!
- Flexible working hours - Core team time: 09:00-15:00 GMT (flexible per team)
- 20 paid vacation days per year
- 12 holidays per year
- 3 sick leave days
- Medical insurance after probation
- Equipment reimbursement (laptops, monitors, etc.)
- Recruiter Call (45 minutes) - Includes a short English check
- Live-coding session (1 hour)
- System Design (1 hour)
- Final Interview (up to 45 minutes)
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