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# Data Engineer

- **Company:** iTech US, Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, BigQuery, Cloud Computing, Cloud Database, Information Systems, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Masking, Relational Databases, Software Design Patterns, Data Flow Control, Python (Programming Language), PostgreSQL, Performance Tuning, Query Optimization, Cloudera, SAP NetWeaver Data Management, Software Engineering, SQL Databases, Data Streaming, Google Cloud, Data Ingestion, Change Data Capture, Infrastructure Automation Frameworks, Information Technology, Database Replication, Terraform, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/3714c0b2-f0da-4416-9654-77643f2dd1f1

## About the Role

* Hands-on experience with Google Cloud Platform data services: Dataflow, Dataproc, Cloud Composer/Airflow, BigQuery, Cloud SQL, Datastream
 * Strong PostgreSQL experience schema design, query optimization, administration
 * Experience with Cloud DLP (or equivalent data masking/anonymization tools)
 * Experience working with AWS services, particularly Kinesis Data Firehose, and cross-cloud data movement (AWS GCS)
 * Solid understanding of ETL/ELT design patterns, batch and streaming data processing
 * Proficiency in Python and/or SQL for pipeline development
 * Familiarity with data governance, security, and compliance practices (PII handling, masking)

Nice to Have

 * Experience with Terraform or other IaC tools for provisioning Google Cloud Platform resources
 * Experience with CI/CD pipelines for data engineering workflows
 * Background in SAP data extraction/integration

Education : At least a bachelor s degree (or equivalent experience) in Computer Science, Software Engineering, Electronics Engineering, Information Systems, or a closely related field is required for the project

## Description

We're looking for a Data Engineer to design and maintain data pipelines that move and transform data across AWS and Google Cloud Platform environments, with a strong emphasis on PostgreSQL and Cloud SQL. This role centers on building a pipeline that ingests streaming data from AWS Firehose, stages it in GCS, loads it into Cloud SQL (PostgreSQL), applies data masking, and delivers clean data into BigQuery for analytics., * Design, build, and maintain ETL/ELT pipelines using Dataflow, Dataproc, and Airflow (Cloud Composer) for orchestration

 * Build and manage data ingestion from AWS Firehose into Google Cloud Storage (GCS)
 * Load and manage relational data in Cloud SQL (PostgreSQL), including schema design, performance tuning, and query optimization
 * Implement data masking/anonymization using Cloud DLP to protect sensitive data prior to downstream use
 * Load masked/transformed data into BigQuery for analytics and reporting consumption
 * Use Datastream for change data capture (CDC) and database replication where applicable
 * Monitor pipeline health, troubleshoot failures, and optimize for reliability and cost
 * Collaborate with data analysts, architects, and security/compliance teams to ensure data governance standards are met


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