Claims Data Analytics Engineer

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

📋 Description

• Develop, sustain, and enhance Python-driven data processing workflows, which include ETL/ELT pipelines, automation scripts, and analytical models.

• Design and optimize data models, views, and warehouse structures in Snowflake to boost analytical performance and uphold data governance.

• Craft advanced, efficient SQL queries to transform Claims data and establish reusable data patterns.

• Create and implement Power BI dashboards, metrics layers, and semantic models to facilitate reporting and business insights.

• Ensure data integrity, security, and adherence to organizational standards.

• Manage tasks within a Sprint environment while juggling competing priorities.

• Spearhead cross-functional collaboration among Operations and other engineering teams throughout the engineering lifecycle—from requirements gathering to deployment.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline—or +5 years of equivalent experience.

• Proficiency in SQL at an expert level (including query optimization, windowing functions, large dataset operations, and query performance tuning).

• Practical experience with Snowflake (warehouse configuration, data modeling, SQL, tasks/streams, and performance tuning).

• Skilled in Python for ETL/automation, data transformation, and analytics workflows.

• Familiarity with Power BI, encompassing semantic modeling, DAX, and data visualization.

• Strong analytical and problem-solving abilities along with a keen business curiosity.

• Experience with GitHub or similar version control systems.

🏝️ Benefits

• Health insurance

• 401K savings plan with 6% match

• Performance and recognition-based incentives

• Tuition assistance

• Flex program allowing work from anywhere in the US for up to four weeks per year