RxSense - Data Engineer
RxSense - Data Engineer
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Job Description
Job Title: Data Engineer
- 3 contractors Any visa is fine Remote(prefer to be local and do Onsite/Hybrid - Boston NYC Princeton NJ and West Palm Beach Florida but not required) communicate whatever they have on their resume and articulate better.
- 3 CTH USC/GC is must Prefer who can do Hybrid (Boston NYC Princeton NJ and West Palm Beach Florida) but for a great resource Remote is fine Should know about RxSense and their line of products Interest to convert after 6 months to full time communicate whatever they have on their resume and articulate better.
Position Overview:
We are looking for an experienced Data Engineer with a strong foundation in data engineering best practices and experience with modern data warehousing and ETL platforms. The ideal candidate will have at least 5 years of hands-on experience preferably with Snowflake SQL Server AWS and Matillion ETL to build optimize and maintain data pipelines and data integration solutions. This role involves working closely with cross functional teams to support data-driven initiatives across the organization.
Key Responsibilities:
Data Pipeline Development and Maintenance:
o Design develop and maintain scalable and high-performance ETL pipelines using Matillion ETL to ingest transform and load data into Snowflake.
o Integrate and manage data from various sources ensuring data quality reliability and performance.
o Optimize SQL queries scripts and stored procedures in Snowflake and SQL Server to improve efficiency and reduce processing time.
Data Warehousing and Modeling:
o Develop and implement data models within Snowflake to support business intelligence and analytics requirements.
o Collaborate with data architects and analysts to design and enhance data warehouse schemas and ensure alignment with reporting and analytics needs.
Collaboration and Requirements Gathering:
o Work with business stakeholders to understand data requirements and translate them into technical specifications.
o Support data architects and analysts by providing guidance on data ingestion storage and retrieval methods.
Platform Monitoring and Optimization:
o Monitor data pipeline and ETL performance identifying bottlenecks and making necessary adjustments to ensure optimal system performance.
o Perform troubleshooting and root cause analysis to resolve data issues andprevent future occurrences.
Required Qualifications:
- Experience: At least 5 years of experience in data engineering with proficiency in Snowflake SQL Server AWS and ETL tools (preferably Matillion).
- Technical Skills: Strong SQL and Python skills with experience in query optimization and performance tuning.
- Education: Bachelors degree in computer science Information Technology or a related field.
- Soft Skills: Strong analytical problem-solving and communication skills.
- Data Engineering Skills: Experience in building maintaining and optimizing data pipelines and ETL processes.
- Data Modeling: Knowledge of data warehousing concepts and hands-on experience in data modeling particularly within Snowflake.
Preferred Qualifications:
- Additional Tools and Platforms: Experience with additional ETL tools data transformation methods or cloud platforms is a plus.
- Healthcare and PBM: PBM-specific knowledge and experience with transforming various healthcare data is a plus but not required.
Employment Type
Full-time
