Data Engineer III

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itel

WebsiteLinkedInAll Job Openings

201 - 500 employees

☁️ SaaS

Insurance • SaaS • Property Management

itel is a company that streamlines the property claims process by offering data-driven solutions for insurance carriers, claims adjusters, and homeowners. They provide accurate pricing for damaged building materials and perform repair versus replace analyses to enhance decision-making across the claims cycle. Their services aim to support various stakeholders, including third-party service providers and restoration professionals, ensuring a fair and efficient claims experience.

📋 Description

• Lead the design, development, and implementation of scalable data pipelines and infrastructure using Azure Databricks, Azure Data Factory, SQL Server, Salesforce integrations, and related technologies • Develop and maintain both OLTP and dimensional data models based on business requirements, applying Kimball and Inmon methodologies as appropriate • Optimize data storage and retrieval performance across SQL Server and cloud data platforms • Integrate data from Salesforce and other SaaS applications via APIs and extraction workflows • Implement and maintain batch and real-time data processing architectures • Participate in code and architecture reviews to ensure adherence to data engineering standards and best practices • Analyze and troubleshoot data pipeline and performance issues, providing timely and effective solutions • Contribute to the continuous improvement of data engineering practices, tools, and processes • Stay current with emerging trends in cloud data platforms and identify opportunities for innovation • Champion comprehensive documentation of data architecture, lineage, and modeling decisions • Facilitate knowledge sharing and mentorship across the team; engage cross-functionally to align on architectural vision • Drive adoption of best practices including data governance, quality, security, and compliance standards • Lead initiatives to reduce technical debt and improve pipeline performance and cost efficiency.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field • At least five (5) years of experience in data engineering or a related field • Three (3) or more years of hands-on experience with Azure cloud services including Azure Databricks, Azure Data Factory, and Azure Data Lake • Two (2) or more years of specific experience with the Databricks platform, including ETL/ELT pipeline development, cluster management, and data workflow implementation • Advanced proficiency with SQL Server including database administration, performance tuning, and stored procedures • Strong proficiency in Python and/or Scala for data processing and automation • Demonstrated expertise in conceptual, logical, and physical data modeling including star schema, snowflake schema, SCD Types 1/2/3, and medallion architecture patterns • Experience with Salesforce data architecture and API-based data extraction • Proficiency with Git workflows and CI/CD pipeline development • Strong understanding of data engineering principles, data quality, and best practices.

🏖️ Benefits

• Flexible work arrangements