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# Senior Data Engineer

- **Company:** Quantiphi, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Clinical Data Repository, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Interoperability, Python (Programming Language), PostgreSQL, Performance Tuning, Cloudera, SQL Databases, Data Streaming, Fast Healthcare Interoperability Resources, Snowflake, Grafana, Electronic Medical Records, Build Management, Pyspark, AWS Glue, Health Level Seven International, Data Management, Stream Processing, Data Pipelines, Amazon Redshift
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3a8114c4469ffea0

## About the Role

* 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

Other Qualifications (OQs):

 * 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

## 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., * 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


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