AWS Lambda, Amazon Web Services (AWS), Clinical Data, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Processing, Database Extract Transform and Load (ETL), Database Programming, Electronic Medical Records, Git, Healthcare Effectiveness Data and Information Set (HEDIS), Import/Export, Performance Tuning/Optimization, Python Programming/Scripting Language, SQL (Structured Query Language), Sales Pipeline, Software Engineering, Source Code/Configuration Management (SCM), Stored Procedures
Data Engineer
Remote
Only on W2
No C2C
USC/ GC/ TN-Visa Only
This is a remote contractor position focused on leveraging your expertise in database engineering. The role requires a high level of proficiency with Snowflake and AWS services to build and manage efficient data pipelines.
Responsibilities
- Hands-on experience with Snowflake, including SQL queries, User Defined Functions (UDFs), Stored Procedures, and Streams.
- Build and manage ETL/ELT pipelines using AWS Glue, including PySpark, DynamicFrames, and Crawlers.
- Design and optimize data pipelines for performance, scalability, and reliability.
- Utilize data ingestion patterns such as Snowpipe, COPY INTO, and staged imports/exports.
Preferred Skills
- Experience with AWS Lambda for event-driven data processing.
- Proficiency in Python for data engineering tasks.
- Experience with CI/CD practices and version control using Git.
- Knowledge of HEDIS and Clinical Data.
Mandatory Skills
- AWS Cloud services, including Glue, Lambda, and EMR.
- Snowflake, including SQL, UDFs, Stored Procedures, and Streams.