Data Engineer

Description: Location: 100% remote position, priority given to candidates located in eastern and central time zones

Travel Required: Less than 10%

Direct Reports: n/a

**This position is not eligible for visa sponsorship; applicants must have authorization to work in the United States**

Behind every great decision is great data. At Obsidian, our data team helps turn complexity into clarity - and we're growing. Reporting to the Head of Data, the Data Engineer, alongside fellow team members, helps to build our enterprise data platform using modern technologies. We are looking for a strong technical individual who is curious, collaborative, and eager to be a trusted partner across teams.

Role and Responsibilities:

• Participate and contribute to design sessions and code review sessions.
• Configure and manage data ingestion tools such as data factory, stitch, azure synapse etc.
• Create and maintain optimal data pipeline architecture using python and SQL.
• Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, designing smoothly scalable infrastructure
• Build and maintain ELT/ETL pipelines using cutting edge analytics engineering approach and techniques.
• Build and support enterprise BI models using Microsoft Power BI
• Work with business users and stakeholders to assist with data-related technical issues and support their data needs.
• Explain complex technical concepts and insights to non-technical cross functional team members

Requirements:

• Bachelor's degree in computer science or related field, or equivalent experience
• Minimum of 5-7 years of experience working collaboratively with cross-functional teams to achieve an organizational goal ideally in an agile environment
• Insurance and/or re-insurance data experience is required, including experience with cession statements data and ceded premium concepts
• Well-developed SQL and Python coding skills
• Substantial experience in Azure platform services or equivalent, such as Snowflake or Big Query
• Strong hands-on experience in modern BI and analytics tools such as Power BI or equivalent
• Approachable personality and experienced building strong cross functional rapports with business counter parts, and leveraging people skills for smooth project execution

Highly Valued

• Familiarity with Workday accounting center and/or Prism Analytics is preferred
• Familiar with medallion architecture and concepts
• Understanding of industry standard data warehousing concepts and architectures such as Kimbal and Inman
• Hands on expertise for building and scaling CI/CD pipelines on Azure Git
• Expert in ETL/ELT and performance tunning
• System design experience is preferred