This is a fully remote position, open to applicants in United States.

• Design, construct, and sustain data pipelines utilizing Airflow and Trino.

• Ingest and process information from databases, APIs, event streams, and third-party integrations.

• Implement monitoring, validation, and alerting mechanisms to enhance pipeline observability, accuracy, and consistency.

• Deploy, monitor, and maintain services within the AWS cloud environment.

• Collaborate with Product Analytics, Data Architecture, and Engineering teams to establish data requirements and deliver effective solutions.

• Optimize queries, pipelines, and storage for enhanced speed and cost efficiency.

• Empower analysts, product teams, and leadership to make informed decisions through dependable data.

• Engage in recruiting, live coding, system design, and final interview processes.

• Over 3 years of experience in data engineering or a related discipline.

• Strong expertise in SQL and Python.

• Practical experience with Airflow for managing workflows.

• Familiarity with OLAP databases, distributed query engines, and data processing frameworks such as ClickHouse, Trino, and Spark.

• Comprehensive understanding of data modeling and best practices in data engineering.

• Knowledge of event-driven data architectures and streaming technologies, including Spark and Flink.

• Bonus: Experience with Terraform and Terragrunt for cloud infrastructure deployments.

• Bonus: Familiarity with Helm, Kustomize, and Argo CD for Kubernetes deployments.

• Experience in building and managing cloud infrastructure.

• Capacity to undergo an English proficiency check during the recruitment call.

• Willingness to work as a contractor.

• Competitive salary in USD (B2B contract with a US company).

• Fully remote work; no office presence required.

• Flexible working hours with core team availability from 09:00 to 15:00 GMT.

• 20 paid vacation days annually.

• 12 public holidays each year.

• 3 days of sick leave.

• Medical insurance provided after the probation period.

• Reimbursement for equipment such as laptops, monitors, etc.

Data Engineer

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