A health services organization in New York City has a great Remote opportunity awaiting a Data Technical Engineer. In this role, the Data Technical Engineer will be responsible for designing, validating, and implementing data management capabilities, such as data virtualization, unstructured data management, de-identification, and data integration that enables the creation of scalable applications.Responsibilities The Data Technical Engineer will:
- Translate solution designs and capability requirements into technical requirements supporting technologies that can deliver long term solutions
- Ability to evaluate multiple overlapping vendor products and provide detailed assessment with scoring
- Participate in technical discussions with vendor and document technical and functional features that aligns with requirements. Highlight product limitations and constraints
- Understand MODE principles and align with strategy and architecture guidelines. Incorporate best practices and standards
- Understand use cases and develop solutions for managing, storing, and delivering data for insights and Data science workloads
- Leading and delivering highly scalable and flexible, cost-effective enterprise data solutions
- Coordinate with other engineering and operations teams and own the conversation to define use cases, goals, objectives, and architecture to support the business needs
Qualifications:
- Bachelor's and/or Advanced Degree in Computer Science or related field
- Strong hands-on skills with Data Management and Data Engineering
- 5+ years of experience in Healthcare Data and SQL database(s) including experience with developing SQL queries and stored procedures
- 3+ years of experience with Lake House, Big Data, Epic Caboodle/Clarity and non-SQL databases
- 3+ years of experience working in modern data lake house architecture using technologies such as Databricks, Snowflake, Dremio, Spark, AWS Redshift, etc.
- Experience in a data technical lead role including modeling, designing, and building complex data solutions using SQL and non- SQL databases
- Strong understanding of and experience with data engineering concepts, devops, and data security
- Strong experience with cloud technologies (Azure, AWS) and cloud data engineering tools and services
- Dedicated and hardworking lead who achieves maximum efficiency and productivity working with the rest of the team
- Ability to work collaboratively in a distributed team environment.