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Remote · Flexible hours · Data Engineer

Data Engineer

Sweed · Remote · United States

Remote Full time Posted Open until 1 Nov 2026
  • Remote 100% remote — job description

The job, in the employer's words

Hi there!

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.


About Us

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.

 

Why We’re Doing This

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.


Where We Are Now

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.

 

Team Structure

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.

 

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 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.

 

What professional skills are important to us?

  • 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

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: 10:00-16:00 CET (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.)

 

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)

Benefits mentioned

  • 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: 10:00-16:00 CET (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.)

Requirements mentioned

  • 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

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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Remote share — Data Engineer jobs in United States

81% are remote

170 of 211 jobs we have listed

How long they stay open — Data Engineer jobs in United States

64 days median time open before the listing ended

Based on 42 ended listings

Advertised pay — Data Engineer jobs in United States

USD 174k median advertised pay / year

Middle half: USD 149k – USD 195k

From 120 listings that state pay