Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems
Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs
Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs
Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly
Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations.
Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking
Mentor other associate and intermediate data engineers as needed
Perform data analysis and provide insights to support decision-making across various departments
Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed
Other duties as assigned or requested.

5 years of experience in design and analysis of algorithms, data structures, and design patterns
5 years of experience in a data engineering, ETL development, or data management role.
5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).
5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)
7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory).
7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities
7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare
7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services
7 years of experience in data governance, data quality, and data security best practices
7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable
Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Senior Data Engineer

Key skills