Data Engineer

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sweed POS

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Sweed POS is a comprehensive platform designed to streamline cannabis retail operations. It offers a wide range of integrated tools including point of sale systems, marketing and loyalty programs, inventory management, and eCommerce solutions tailored specifically for the cannabis industry. With features such as advanced customer management, integrated payments, and multi-location logistics, Sweed POS empowers cannabis retailers to enhance their brand presence and operational efficiency. The platform is designed to seamlessly manage retail operations without the need for third-party systems, providing a holistic and intuitive experience for cannabis businesses.

📋 Description

• Design, build, and maintain data pipelines using Airflow and Trino • Ingest and process data from databases, APIs, event streams, and third-party integrations • Implement monitoring, validation, and alerting to improve pipeline observability, accuracy, and consistency • Deploy, monitor, and maintain services in the AWS cloud • Collaborate with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver solutions • Optimize queries, pipelines, and storage for speed and cost efficiency • Enable analysts, product teams, and leadership to make better decisions through reliable data • Participate in recruiter, live-coding, system design, and final interview stages

🎯 Requirements

• 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 • Experience with OLAP databases, distributed query engines, and data processing frameworks such as ClickHouse, Trino, and Spark • Solid understanding of data modeling and data engineering best practices • Familiarity with event-based data architectures and streaming, including Spark and Flink • Bonus: Terraform and Terragrunt for cloud infrastructure deployments • Bonus: Helm, Kustomize, and Argo CD for Kubernetes deployments • Experience building and owning cloud infrastructure • Ability to complete an English check during the recruiter call • Ability to work as a contractor

🏖️ Benefits

• Salary in USD (B2B contract with the US company) • 100% remote; no offices needed • Flexible working hours; core team time 09:00–15:00 GMT • 20 paid vacation days per year • 12 holidays per year • 3 sick leave days • Medical insurance after probation • Equipment reimbursement for laptops, monitors, etc.