Remote Senior Data Engineer

Description:

• Design and implement efficient ETL (Extract, Transform, Load) processes to ensure high performance and data quality
• Develop aggregated datasets for reporting, analysis, and model training
• Manage data synchronization across different systems and platforms
• Store data in formats that allow quick retrieval and efficient analysis
• Maintain a scalable data reporting platform for ad hoc and standardized reporting
• Ensure compliance with data protection regulations like GDPR, CCPA, HIPAA
• Implement robust data-loading processes in live transactional systems
• Collaborate with teams to understand data needs
• Optimize data models to support organizational data requirements and analytical goals

Requirements:

• Bachelor’s degree in computer science or equivalent experience
• 5 years of experience as a Data Engineer or similar role
• Strong knowledge of MS SQL and relational databases
• Familiarity with NoSQL document databases
• Experience in finance or healthcare fields
• Proficiency in data integration, ETL tools, and data pipelines
• Knowledge of data warehousing and data lake solutions
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Experience with cloud-based data solutions like AWS, Azure, GCP
• Proficiency in programming languages such as Python or C#
• Familiarity with reporting tools and data visualization

Benefits:

• Competitive salary range of $100,000 - $150,000 per year
• Salary adjustments based on skills, experience, and educational background
• Leadership opportunities in setting strategic direction for the data platform
• Mentorship of development staff in successful data access patterns
• Completion of assigned strategic objectives to measure success