Sr. Data Engineer - Remote

About the Role

Key Responsibilities

• Research, evaluate, identify alternative approaches, recommend, design and code efficient and effective solutions for challenging problems ranging from small to large work efforts for low to high complexity problems
• Develop, test, deploy and schedule complex ETL/ELT solutions to integrate multiple data assets across the organization
• Comply with standards and guidelines related to the design, construction, testing and deployment activities as established by departmental and organizational standards
• Demonstrate collaborative skills working within a project team of diverse skills and bring communication skills including oral, written and presentation skills, creativity, and problem-solving skills to a challenging environment
• Partner with other competency leads/developers and support project planning, technical design, development, and solution deployment functions
• Identify opportunities in business processes, system capabilities and delivery methodologies for continuous improvement
• Lead, mentor and develop development resources and provide project related directions
• Support development, QA, and production support teams in SDLC and operational activities

Requirements

• Undergraduate degree or equivalent experience
• 5+ years of experience with modern relational databases
• 5+ years of experience optimizing SQL statements
• 5+ years of experience working on commercially available software and/or healthcare platforms as a Data Engineer
• 3+ years of experience building data pipelines in Azure Data Factory, Databricks, App Services, Azure Functions
• 3+ years of experience working with Synapse, Cosmos
• 3+ years of experience designing and building Enterprise Data solutions on Cloud
• 1+ years of experience/knowledge of Power BI

Nice to Have

• Experience building Big Data solutions on public cloud (Azure)
• Experience with Data warehousing services, preferably Synapse and SQL
• Developing RESTful Services in .NET, Java, or other languages
• Experience with DevOps in Data engineering
• Experience with Microservices architecture
• Using modern software engineering and product development tools including Agile/SAFE, Continuous Integration, Continuous Delivery, DevOps

Qualifications

• Formal educational background as specified in requirements

Benefits & Perks

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Remote work flexibility (adherence to Telecommuter Policy)