Data Engineer

Job not on LinkedIn

🕒 September 7

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

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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Birdie HR

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

🛡️ Insurance

💼 Consulting

⚖️ Legal

Insurance • Consulting • Legal

Birdie HR is a dedicated Employer of Record that streamlines the back office operations for recreation businesses. By handling payroll administration, benefits administration, insurance coverage, compliance, and HR technology support, Birdie HR alleviates the administrative burden, allowing businesses to focus on growth. With quick onboarding and comprehensive support services, Birdie HR ensures teams are paid and protected while adhering to all legal requirements.

📋 Description

• Design, develop and maintain scalable and reliable data pipelines and ETL/ELT processes • Develop and optimise data warehouse solutions • Develop and maintain data infrastructure, primarily on AWS, while also supporting parts of the legacy infrastructure • Develop APIs and data integrations • Contribute to the development and maintenance of real-time data pipelines using Kafka • Automate and optimise data processes and workflows • Monitor, troubleshoot and improve the reliability, performance, security and data quality of pipelines and infrastructure • Work closely with the analytics team and other stakeholders to understand data needs and deliver effective solutions • Maintain clear and up-to-date documentation for data pipelines, infrastructure and workflows • Contribute to the improvement and modernisation of existing data processes and architecture

🎯 Requirements

• 2+ years of professional experience in data engineering • Strong SQL and Python skills • Hands-on experience with AWS, including S3, Redshift, Glue and Lambda • Hands-on experience with Apache Airflow • Strong understanding of data warehousing concepts and data modelling • Hands-on experience designing, developing and maintaining production data pipelines, with a focus on reliability, monitoring and data quality • Solid understanding of relational and non-relational databases • Familiarity with Git and CI/CD practices, preferably GitLab • Experience developing APIs and data integrations • Good written and verbal communication skills • Upper-intermediate English or higher

🏖️ Benefits

• Remote work • Full-time employment