data engineer for cannabis retail

HireHi; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Salary in USD (B2B)

Flexible working hours

Paid vacation days 12

Holidays 3

Sick leave

Medical insurance after probation

Equipment reimbursement

Job summary

SweedPos ищет специалиста по данным для проектирования и поддержки конвейеров данных. Ваша задача — работать с Airflow и Trino, обеспечивать наблюдаемость пайплайнов и сотрудничать с аналитикой и архитектурой.

Требуется опыт в SQL, Python, AWS и обработке больших данных. Гибкий график, удаленная работа, возможность работы в США.

Qualifications

• 3+ года опыта data engineering или смежной области.
• Глубокие знания SQL и Python.
• Практический опыт Airflow для оркестрации задач.
• Опыт работы с OLAP-базами и распределёнными движками.
• Понимание моделирования данных и лучших практик.
• Опыт работы с архитектурами событий и потоками (Spark, Flink).
• Будет плюсом Terraform/Terragrunt, Helm/Kustomize/ArgoCD для инфраструктуры и Kubernetes.

Responsibilities

• Разработка и поддержка конвейеров данных на Airflow и Trino.
• Наблюдаемость пайплайнов: мониторинг и алерты.
• Развертывание и сопровождение сервисов в AWS.
• Сотрудничество с командами аналитики данных, архитектуры и инженерии.
• Оптимизация запросов, пайплайнов и хранения для производительности и стоимости.
• Оптимизация запросов, пайплайнов и хранилищ для производительности и экономии средств.

Skills

SQL

Python

Airflow

Trino

ClickHouse

Spark

Data modeling

Critical thinking

Proactive

Problem solving

Tools

AWS

Kubernetes

Terraform

Terragrunt

Helm

Kustomize

ArgoCD

Airflow

Trino

ClickHouse

Spark

Job description

Описание:

SweedPos builds an all-in-one cannabis retail platform that combines POS, eCommerce, Marketing, Analytics, and Inventory Management. The platform helps cannabis retailers manage their operations, improve efficiency, and support business growth.

Задачи:

Design, build, and maintain data pipelines using Airflow and Trino to ingest and process data from databases, APIs, event streams, and third-party integrations Improve pipeline observability by implementing monitoring, validation, and alerting to ensure data accuracy and consistency Deploy, monitor, and maintain platform services in AWS Collaborate with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver solutions Optimize queries, pipelines, and storage for performance and cost efficiency

Требования:

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 for analytical workloads Solid understanding of data modeling and data engineering best practices Familiarity with event-based data architectures and streaming, such as Spark and Flink Proactive, takes initiative, and provides feedback Strong critical thinking and problem-solving skills Adaptable and comfortable with change Будет плюсом: Terraform or Terragrunt for cloud infrastructure deployments, Helm, Kustomize, or ArgoCD for Kubernetes deployments, experience building and owning cloud infrastructure

Условия:

• Salary in USD (B2B contract with the US company)
• Flexible working hours; core team time is 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 for laptops, monitors, and other equipment