Senior Data Engineer – Microsoft Fabric, Financial Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, deploy, and maintain enterprise data solutions for financial reporting, reserving, and claims management.

• Take ownership of critical claims data structures, transformation logic, business rules, bucketing logic, and control mechanisms.

• Create and sustain data pipelines, transformation processes, and reporting datasets utilizing SQL, Python, PySpark, Microsoft Fabric, or comparable cloud data platforms.

• Collaborate with Actuarial Reserving, Accounting Operations, Product, Claims, Financial Planning and Analysis, and other business teams to convert requirements into scalable technical solutions.

• Lead and engage in end-user testing and evaluate downstream reporting impacts prior to production release.

• Automate reconciliations, exception monitoring, data quality assessments, and control processes.

• Analyze intricate business and data challenges and propose solutions that enhance reporting, decision-making, and operational efficiency.

• Review code, design, and testing activities.

• Offer technical guidance, coaching, and knowledge-sharing to peers and junior developers.

• Address production issues, investigate root causes, and implement enduring solutions.

• Identify opportunities to modernize tools, enhance data governance, and introduce efficient development practices.

⛳️ Requirements

• A minimum of 5 years of experience in data engineering, analytics engineering, application development, business intelligence development, or a related technical discipline.

• Preferred 1–2 years of hands-on experience with Microsoft Fabric.

• Equivalent experience with Azure Synapse Analytics, Databricks, Snowflake, Azure Data Factory, Redshift, BigQuery, or similar cloud data platforms will be considered.

• Strong expertise in developing complex data transformation processes using SQL, Python, and/or PySpark.

• Experience in designing, building, and maintaining enterprise data pipelines, data models, data structures, and reporting datasets.

• Familiarity 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 principles.

• Experience collaborating directly with business stakeholders to gather requirements, clarify priorities, and deliver technical solutions.

• Excellent analytical, troubleshooting, and problem-solving abilities.

• Ability to juggle multiple priorities and produce high-quality solutions in a dynamic environment.

• Strong communication skills with the capacity to convey technical concepts to both technical and non-technical audiences.

• Background investigation required.

• Generally must not need employment-based visa sponsorship.

• A dedicated, private home workspace free from distractions.

• Reliable internet connection 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 cover internet expenses.

• Remote work arrangement.

• Opportunities for skills development and career advancement.

• An environment that encourages innovative thinking.

• Meaningful work that supports customers, clients, and communities.