ApplySenior Data Engineer, Data Services
Posted 5 months agoViewed
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💎 Seniority level: Senior, 8+ years
📍 Location: Central EU or Americas, Pacific Time Zone, NOT STATED
🔍 Industry: Real estate investment
🏢 Company: Roofstock👥 501-1000💰 $240,000,000 Series E almost 3 years ago🫂 Last layoff almost 2 years agoRental PropertyPropTechMarketplaceReal EstateFinTech
🗣️ Languages: English
⏳ Experience: 8+ years
🪄 Skills: AWSDockerPythonSQLAgileETLSCRUMSnowflakeAirflowData engineeringgRPCRESTful APIsMicroservices
Requirements:
- BS or MS in a technical field: computer science, engineering or similar.
- 8+ years technical experience working with data.
- 5+ years strong experience building scalable data services and applications using SQL, Python, Java/Kotlin.
- Deep understanding of microservices architecture and RESTful API development.
- Experience with AWS services including messaging and familiarity with real-time data processing frameworks.
- Significant experience building and deploying data-related infrastructure and robust data pipelines.
- Strong understanding of data architecture and related challenges.
- Experience with complex problems and distributed systems focusing on scalability and performance.
- Strong communication and interpersonal skills.
- Independent worker able to collaborate with cross-functional teams.
Responsibilities:
- Improve and maintain the data services platform.
- Deliver high-quality data services promptly, ensuring data governance and integrity while meeting objectives and maintaining SLAs.
- Develop effective architectures and produce key code components contributing to technical solutions.
- Integrate a diverse network of third-party tools into a cohesive, scalable platform.
- Continuously enhance system performance and reliability by diagnosing and resolving operational issues.
- Ensure rigorous testing of the team's work through automated methods.
- Support data infrastructure and collaborate with the data team on scalable data pipelines.
- Work within an Agile/Scrum framework with cross-functional teams to deliver value.
- Influence the enterprise data platform architecture and standards.
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