8 часов назад
Data Engineer II (AWS)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer II (AWS): Building and operating scalable data pipelines and trusted data products in an AWS-based medallion lakehouse with an accent on production reliability, data modeling, and legacy SQL Server migration. Focus on designing resilient data services, enabling analytics and AI applications, and solving complex data dependencies across engineering, product, and data science teams.
Location: Fully remote within the United States; approximately 10% in-person collaboration and potential in-person interview at a location. Company location: Orlando, Florida.
Company
is a media and entertainment company operating brands across news, finance, golf, sports, and genre entertainment, including GolfNow and other digital platforms.
What you will do
- Design, build, and maintain scalable data pipelines and models in an AWS-based medallion lakehouse.
- Own production data services and improve monitoring, testing, observability, deployment, resilience, and disaster recovery.
- Build reusable automation for dataset onboarding, governance, lineage, schema evolution, security, and least-privilege access.
- Develop trusted data products for reporting, analytics, APIs, and AI-powered applications, including text-to-SQL and LLM use cases.
- Migrate pipelines and reporting workloads from SQL Server, SSIS, and SSRS while validating downstream dependencies.
- Partner with engineering, product, analytics, and data science teams; lead technical discussions and support junior engineers through reviews and guidance.
Requirements
- Hands-on experience building, deploying, and supporting cloud-based data pipelines, preferably with AWS services such as Glue, Lambda, Step Functions, or Redshift.
- Strong SQL and Python skills with structured and semi-structured ETL/ELT workflows.
- Working knowledge of data modeling, warehousing, orchestration, Airflow, and modern data engineering practices.
- Experience improving the performance, reliability, and resource utilization of production data systems.
- Ability to troubleshoot independently, understand upstream and downstream dependencies, and communicate clearly across technical and business teams.
- Must be located in the United States for this remote position.
Nice to have
- Experience with dbt, Apache Iceberg, change data capture, or data products supporting LLMs and AI agents.
- Exposure to SSIS, SSRS, PowerShell, or legacy SQL Server migrations.
- Familiarity with Tableau, Power BI, QuickSight, Jira, Confluence, or Agile engineering environments.
Culture & Benefits
- Values include trust, teamwork, transparency, agility, and entrepreneurial problem-solving.
- Fully remote work within the United States with approximately 10% in-person collaboration.
- Competitive compensation, comprehensive benefits, and opportunities for professional growth.
- Opportunity to work at the intersection of golf, media, technology, analytics, and AI.
Hiring process
- External candidates may be required to attend an in-person interview at a location before a hiring decision.
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