1 день назад
Senior Data Engineer (AI)
100 000 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Building scalable batch and real-time data pipelines, dimensional models, and data services for lending and insurance analytics with an accent on reliability, data quality, and cost efficiency. Focus on designing recovery-ready integrations, optimizing queries and compute, and validating AI-assisted development workflows.
Location: Remote; candidates must be legally authorized to work in the United States. does not provide employment visa sponsorship.
Base pay: $100,000–$130,000 per year, with eligibility for an annual performance bonus.
Company
operates lending and insurance businesses supported by reporting, analytics, data science, and data engineering services.
What you will do
- Build and operate scalable batch and real-time streaming pipelines, ETL/ELT workflows, and database applications.
- Design dimensional models and reusable datasets for business, analytics, and data science teams.
- Improve reliability through automated quality checks, freshness monitoring, performance tuning, cost optimization, and incident response.
- Create reusable engineering frameworks, automated tests, deployment patterns, documentation, runbooks, and technical standards.
- Partner with business, analytics, product, infrastructure, and engineering teams to define requirements and roadmap priorities.
- Apply AI tools to coding, testing, documentation, and troubleshooting while validating results and protecting sensitive data.
Requirements
- 5+ years of hands-on data engineering experience delivering and supporting production solutions.
- Advanced SQL skills, including complex query development, tuning, debugging, and data analysis.
- Experience with data lakes, data warehouses, distributed platforms, and batch and streaming integration patterns.
- Strong dimensional modeling and data warehousing knowledge, including fact tables, dimension tables, grain, and historical changes.
- Ability to deliver independently in an Agile environment using testing, version control, documentation, and systematic troubleshooting.
- Legal authorization to work in the United States; employment visa sponsorship is not available.
Nice to have
- Snowflake, SQL Server, Matillion, dbt, or similar data integration and transformation tools.
- Python, C#, PowerShell, Git, GitLab, and CI/CD experience.
- Power BI, Tableau, Streamlit, or related dashboard and data application experience.
- Experience with AI-assisted development tools such as Claude Code, Codex, Cursor, or Maia.
- Education in Computer Science, Mathematics, or a related field, or equivalent practical experience.
Culture & Benefits
- Collaborative, entrepreneurial environment with ownership and flexibility.
- Medical, dental, and vision insurance.
- 401(k) matching and generous time off.
- Wellness programs and resources.
- Annual performance bonus eligibility.
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