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Senior Data Engineer (Google Cloud Platform | AWS | PostgreSQL) -- 100% Remote -- Only W2 Profiles

Trebecon LLCUnited States🇺🇸United StatesPosted 10 Aug 2026

Why This Role Stands Out

You'll thrive as a Senior Data Engineer, leveraging your expertise in Google Cloud Platform and AWS to build robust, scalable data pipelines and optimize PostgreSQL databases in a fully remote environment. This role offers significant opportunities for technical growth and impact within a collaborative team. Apply today to advance your career!

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Position: Senior Data Engineer

Location: Remote

Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines using Google Cloud Platform services such as Dataflow, Dataproc, and Cloud Composer (Airflow).
  • Build and manage data ingestion pipelines from AWS Kinesis Data Firehose to Google Cloud Storage (GCS).
  • Design, optimize, and administer PostgreSQL databases in Cloud SQL.
  • Implement data masking and anonymization using Google Cloud DLP to protect sensitive information.
  • Load and transform data into BigQuery for reporting and analytics.
  • Configure Datastream for Change Data Capture (CDC) and database replication.
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  • Collaborate with Data Engineers, Architects, Analysts, and Security teams to implement data governance and compliance standards.
  • Develop Python and SQL-based data processing solutions.
  • Participate in code reviews, testing, and production deployments.
Required Skills
  • Strong experience with Google Cloud Platform (Google Cloud Platform).
  • Hands-on expertise with Dataflow, Dataproc, Cloud Composer (Airflow), BigQuery, Cloud SQL, and Datastream.
  • Strong PostgreSQL administration, schema design, and query optimization experience.
  • Experience with AWS services, especially Kinesis Data Firehose and AWS-to-Google Cloud Platform data migration.
  • Strong knowledge of ETL/ELT pipeline development.
  • Proficiency in Python and SQL.
  • Experience with Cloud DLP or equivalent data masking solutions.
  • Understanding of data governance, security, PII handling, and compliance.
  • Strong analytical, troubleshooting, and communication skills.
Preferred Skills
  • Terraform or other Infrastructure as Code (IaC) tools.
  • CI/CD pipeline implementation for data engineering.
  • SAP data extraction and integration experience.
  • Experience working in enterprise cloud migration projects.

Skills

SQL
AWS
ETL
Airflow
BigQuery
Google Cloud
PostgreSQL
Python
Terraform

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