Sr. Azure ETL Data Engineer with Healthcare Clients

Role: Sr. Azure ETL Data Engineer With Healthcare clients /Protected Health Information (PHI) Location: Remote (prefer to find someone local to McLean VA 22102) Contract Responsibilities: • Collaborate with solution & Enterprise architects and other cross functional team to understand business requirement • Work on small to mid-sized and cross-functional IT solutions. • Contribute to workstream planning process including inception, requirements gathering, technical design, development, testing and delivery of ETL solutions. • Experience using ETL tools for plug and play implementation, ETL automation, monitoring and alerts. • Collaborate with Analytics & Reporting, Data Science, Machine Learning, Analytics Engineering, IT Infrastructure, and other Technology teams in solution design, development, and deployment. • Implement and adhere to security guidelines to safeguard Protected Health Information (PHI) and establish secure communication channels for data transfer. • Exercise Agile methodologies throughout the development processing, using tools such as JIRA, confluence, and video communication to enhance collaboration, documentation, and transparency. • Follow DevOps/DataOps best practices throughout Software Development Life Cycle (SDLC). Qualifications: • Bachelor’s degree in computer science, Information Technology, Engineering, Mathematics, or equivalent. • 8+ years professional experience in Data Engineering (or similar) role. • Experience in designing and implementing data applications and data architectures. • Experience with open-source data frameworks like Spark and/or experience with cloud data platforms is preferred. • Healthcare experience in a Payer or Provider/Hospital Organization preferred. • Experience in Azure data technologies is a bonus (Azure Data Factory, Synapse, Cosmos DB, Azure SQL). • Experience with DevOps/DataOps practices is a bonus. • Experience or familiar with Agile or a similar process. • Knowledge, Skills, and Abilities: • 5+ years of experience with at least one database/data warehouse solution (e.g., MySQL, MSSQL, Synapse, Snowflake, RedShift). • 3+ years of experience in at least one programming language (preferably Python) • Experience using industry standard Python libraries for data exploration, analysis, and transformation (e.g., Pandas, Numpy, etc.) • Experience using REST APIs • Proficient in writing SQL Code for SQL queries, views, stored procedures, etc. • Experience working with data housed in file formats including TXT, CSV, JSON, YAML, Parquet, XLSX • Problem-solving aptitude and critical thinking skills • Excellent communication, interpersonal and communication skills.