Senior Data Engineer – Microsoft Fabric, Financial Data

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $100k - $170.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of Allstate

Allstate

10,000+ employees

Founded 1931

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 Post-IPO Equity on 2014-01

Consulting • Logistics • Insurance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Design, develop, test, deploy, and support enterprise data solutions for financial reporting, reserving, and claims • Own and maintain critical claims data structures, transformation logic, business rules, bucketing logic, and controls • Develop and maintain data pipelines, transformation processes, and reporting datasets using SQL, Python, PySpark, Microsoft Fabric, or similar cloud data platforms • Partner with Actuarial Reserving, Accounting Operations, Product, Claims, Financial Planning and Analysis, and other business teams to translate requirements into scalable technical solutions • Lead and participate in end-user testing and assess downstream reporting impacts before production release • Automate reconciliations, exception monitoring, data quality checks, and control processes • Analyze complex business and data challenges and recommend solutions that improve reporting, decision-making, and operational efficiency • Review code, design, and testing work • Provide technical guidance, coaching, and knowledge-sharing to peers and less experienced developers • Support production issues, investigate root causes, and implement sustainable solutions • Identify opportunities to modernize tools, improve data governance, and introduce efficient development practices

🎯 Requirements

• 5 or more years of experience in data engineering, analytics engineering, application development, business intelligence development, or a related technical field • 1–2 years of hands-on Microsoft Fabric experience preferred • Equivalent experience with Azure Synapse Analytics, Databricks, Snowflake, Azure Data Factory, Redshift, BigQuery, or similar cloud data platforms considered • Strong experience developing complex data transformation processes using SQL, Python, and/or PySpark • Experience designing, building, and supporting enterprise data pipelines, data models, data structures, and reporting datasets • Experience working with financial, claims, premium, accounting, operational, or other complex business data • Strong understanding of ETL/ELT development, data quality controls, reconciliation processes, and data governance concepts • Experience partnering directly with business stakeholders to gather requirements, clarify priorities, and deliver technical solutions • Strong analytical, troubleshooting, and problem-solving skills • Ability to manage multiple priorities and deliver high-quality solutions in a fast-paced environment • Strong communication skills with the ability to explain technical concepts to technical and non-technical audiences • Background investigation required • Generally must not require employment-based visa sponsorship • Dedicated, private home workspace free from distractions • Reliable internet with minimum speeds of 50 MB download and 5 MB upload

🏖️ Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement to help offset internet costs • Remote work arrangement • Opportunity for skills development and career growth • Environment fostering innovative thinking • Meaningful work supporting customers, clients, and communities

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