Senior Data Engineer-CW

VSG Business Solutions LLC; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

VSG Business Solutions LLC in the United States is seeking a senior Data Engineer to design, build, and maintain data infrastructure that moves and transforms data across platforms with reliability. You will collaborate with data scientists, analysts, and engineers to ensure data quality, scalability, and performance, applying modern patterns and cloud-native approaches.

This role requires deep healthcare domain experience and a proactive, solution-oriented mindset to support diverse data

Qualifications

• 7-10+ years of experience as a Data Engineer
• Experience designing and supporting healthcare data platforms and integrations
• Experience with Google Cloud Platform (GCP) and data tooling

Responsibilities

• Design, build, and maintain data pipelines across platforms
• Ensure data quality, integrity, and reliability across systems
• Collaborate with data professionals, analysts, and engineers to optimize data infrastructure

Skills

Data pipeline design

Data quality & governance

Collaboration across teams

Cloud data architectures

Tools

GCP

Dataproc

BigQuery

dbt

PySpark

Kafka

Job description

This role is an integral senior member of a technical team, responsible for supporting the design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for ensuring the reliable movement, transformation, and storage of data across various platforms. The incumbent will work closely with data professionals, analysts, and engineers to build and optimize data pipelines, ensuring data quality and integrity. The ideal candidate is adaptable, solution-oriented, and capable of collaborating across multiple teams to support a broad range of data initiatives. The incumbent and team will be involved in every aspect of the data process, from idea generation, analysis, design, build, and support, using the latest technologies and design patterns.

Required Qualifications :

7-10+ years as a Data Engineer with experience designing and supporting

7-10+ healthcare data platforms and integrations years using Google

7-10+ Cloud Platform (GCP),

Preferred Qualifications :

At least 5 years using : Dataproc, Data Composer, BigLake, BigQuery, Iceberg, Starburst, dbt, and PySpark.

At least 5 years using : API, SFTP, and Kafka-based data pipelines, ETL/ELT development, data modeling, performance optimization, data quality, automation, and scalable cloud-native data architecture.