ISITE TECHNOLOGIES
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer with 9-12 years of experience, remote work, and a pay rate of "unknown." Key skills include GCP, BigQuery, SQL, Apache Spark, and healthcare domain experience is mandatory, particularly with HIPAA compliance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ML (Machine Learning) #Python #Cloud #BigQuery #Data Engineering #Security #Java #Storage #Spark (Apache Spark) #Compliance #Kafka (Apache Kafka) #Dataflow #SQL (Structured Query Language) #Apache Spark #Looker #AI (Artificial Intelligence) #REST (Representational State Transfer) #Logging #GCP (Google Cloud Platform)
Role description
Job Role: GCP Data Engineer
Experience: 9-12 Years
Location: Remote
Conditions: Health care domain exp mandatory
Skills:
GCP · BigQuery, SQL, Apache Spark (DataSpark) · Vertex AI · Kafka, Dataflow, Vertex AI, ML Pipelines, Cloud Storage, Adobe Analytics, Python / Java / Node.js. Hands-on Expereince in data engineering or ML data engineering in a production GCP environment. Hands-on experience handling PHI under HIPAA: field-level encryption and masking, de-identification techniques, audit logging, access control policies, and HIPAA Security Rule compliance for data at rest and in transit. Experience integrating Adobe Analytics data streams or Adobe Experience Platform. Familiarity with Looker or Vertex AI as downstream consumers. Knowledge of Click-Thru file formats and external table patterns in BigQuery. Experience with GCP CMEK (Customer-Managed Encryption Keys) for PHI dataset protection. Familiarity with HIPAA BAA requirements in cloud vendor agreements.
Job Role: GCP Data Engineer
Experience: 9-12 Years
Location: Remote
Conditions: Health care domain exp mandatory
Skills:
GCP · BigQuery, SQL, Apache Spark (DataSpark) · Vertex AI · Kafka, Dataflow, Vertex AI, ML Pipelines, Cloud Storage, Adobe Analytics, Python / Java / Node.js. Hands-on Expereince in data engineering or ML data engineering in a production GCP environment. Hands-on experience handling PHI under HIPAA: field-level encryption and masking, de-identification techniques, audit logging, access control policies, and HIPAA Security Rule compliance for data at rest and in transit. Experience integrating Adobe Analytics data streams or Adobe Experience Platform. Familiarity with Looker or Vertex AI as downstream consumers. Knowledge of Click-Thru file formats and external table patterns in BigQuery. Experience with GCP CMEK (Customer-Managed Encryption Keys) for PHI dataset protection. Familiarity with HIPAA BAA requirements in cloud vendor agreements.
