Data Engineer

Hi there!

We'reSweedPos, a product-driven startup building an all-in-one cannabis retail platform. We’re on the lookout for aData Engineerto join us remotely and help us scale and optimize our platform.

About Us

At Sweed, we’re reimagining how cannabis retailers operate. Ourenterprise-grade platform combinesPOS, eCommerce, Marketing, Analytics and Inventory Managementinto a single, seamless solution—eliminating the need for multiple third-party tools.

We believe insimplicity, efficiency, and innovation. That’s why we build forscalability and performance, making life easier for cannabis retailers while driving real business growth.

Why We’re Doing This

AtSweed, 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.

Where We Are Now

We’ve been on the market for7 years, continuously growing and refining our product.

Our focus is onearning customer trust, which means constantlyimproving our delivery processes androlling out new features. At the same time, we navigate thecomplex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.

Team Structure

Ourtotal team size is over 200 people:

The development team is distributed globallyand organized intocross-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.

Why This Role Matters

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.

What to do in the project?

• Design, build, and maintain data pipelines usingAirflow, andTrino 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.

What professional skills are important to us?

• 3+ years of experience in data engineering or a related field.

• Strong proficiency inSQL andPython.

• 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
  

What Else Matters?

• 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

What We Offer

• 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 insuranceafter probation

• Equipmentreimbursement (laptops, monitors, etc.)

Hiring Process

• Recruiter Call (45 minutes) – Includes a short English check

• Live-coding session (1 hour)

• System Design (1 hour)

• Final Interview(up to 45 minutes)