23 часа назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Python/SQL): Building real-time data capabilities and scalable infrastructure to power analytics and AI-driven experiences with an accent on high-performance pipelines and modern data architecture. Focus on designing distributed systems with Kafka and Databricks and automating data workflows using AI agents.
Location: Remote (Canada)
Company
is a publicly traded technology company (NASDAQ: DKNG) specializing in the regulated gaming industry.
What you will do
- Design, develop, and maintain real-time and batch data pipelines using Kafka, Databricks, and Snowflake.
- Build AI-powered data experiences that enable natural language data exploration and autonomous workflows.
- Partner with Engineering and Analytics teams to translate business requirements into scalable, analytics-ready datasets.
- Optimize modern data models using Star Schema and Data Vault methodologies.
- Drive best practices for data engineering, streaming, and platform performance while mentoring teammates.
- Collaborate in an agile environment to deliver scalable solutions for evolving platform needs.
Requirements
- Bachelor's Degree in Computer Science or equivalent professional experience.
- At least 3 years of experience designing and maintaining scalable data platforms and distributed systems.
- Strong proficiency in Python and SQL, with hands-on experience in real-time streaming solutions.
- Experience with Snowflake, Databricks, Kafka, and AWS.
- Knowledge of data warehousing, ETL frameworks, and NoSQL databases like MongoDB or DynamoDB.
- Must be based in Canada.
Nice to have
- Experience with infrastructure tools such as Terraform, PagerDuty, and Datadog.
- Familiarity with Sigma or similar business intelligence tools.
- Hands-on experience with AI-assisted engineering tools (e.g., Claude Code, Codex) to build agents.
Culture & Benefits
- Environment energized by innovation and the adoption of emerging AI technologies.
- Opportunity to shape the data architecture of a major publicly traded gaming company.
- Inclusive culture that encourages applicants even if they don't meet every single requirement.
- Commitment to equal opportunity employment and diversity.
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