Senior Data Engineer
Full-time
Quantiphi
Role Description
As a Senior Data Engineer, you will design and build scalable, production-grade data platforms and pipelines that power AI and analytics use cases. This role is highly hands-on and sits at the intersection of data engineering, AI enablement, and cloud platforms.
You will work closely with clients and internal stakeholders to build modern data ecosystems, with a strong focus on healthcare data and interoperability standards.
Key Responsibilities
- Design and build scalable data pipelines (ETL/ELT) using modern data engineering frameworks
- Develop and optimize batch and real-time data processing systems
- Build and maintain data integration workflows across multiple systems and sources
- Ensure data quality, integrity, and reliability across the data lifecycle
- Work with large-scale structured and semi-structured datasets
- Optimize data pipelines for performance, scalability, and cost efficiency
- Collaborate with stakeholders to translate business needs into technical solutions
- Design and implement data models to support analytics and AI use cases
- Support healthcare data ingestion and transformation, including interoperability standards
- Maintain best practices for CI/CD, testing, and monitoring of data pipelines
Qualifications
- 7+ years of experience in Data Engineering or Data Platform development
- Strong hands-on experience with at least one of:
- Python
- SQL
- PySpark
- Experience working with at least one of the following data platforms:
- Snowflake
- PostgreSQL
- BigQuery
- Amazon Redshift
- Experience building and maintaining data pipelines using one or more of:
- ETL / ELT frameworks
- dbt
- Dataflow, Dataproc, EMR, or AWS Glue
- General data pipeline / data integration frameworks
- Strong SQL expertise (joins, window functions, performance tuning)
- Experience working with large-scale data processing systems
Requirements
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with real-time or streaming data architectures
- Exposure to modern data stack tools and best practices
- Experience with data governance, data quality, and observability tools
- Strong communication skills and experience working with cross-functional teams
Domain Experience (Required)
- Experience working within Healthcare domain, specifically:
- Healthcare providers or payer systems
- Healthcare datasets (EHR/EMR)
- Familiarity with healthcare interoperability standards such as:
- HL7 (v2 preferred)
- FHIR (nice to have)
- Experience working with systems such as:
- Epic (preferred)
- Other clinical or healthcare data platforms
Benefits
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Vacancy posted 9 hours ago
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