GCP Data Engineer

Orabase Solutions LLC.
McKinney, TX, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$156,998.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Airflow Apache HTTP Server Continuous Integration Data Integration Extract Transform Load (ETL) Data Vault Modeling Github Python (Programming Language) SQL Databases Unstructured Data Data Lakes
+4 more
Information Technology Star Schema Data Pipelines Jenkins

Job description

Consultant (GCP Data Engineer) needed for Orabase Solutions, LLC. located in McKinney, TX. Will perform cloud data engineering using Google Cloud Platform, including Big Query, DataProc, and Cloud Storage. Will travel as the need arises to provide services at various future unanticipated client worksites throughout the US. Will design, develop, and maintain large-scale data engineering solutions on cloud and distributed systems. Will build and optimize data pipelines that ingest, process, transform, and deliver structured and unstructured data. Will develop batch, micro-batch, and streaming workflows using distributed processing frameworks. Will perform ETL/ELT pipeline development and data integration across multiple systems. Will engage in data modeling using Star Schema, Snowflake Schema, and Data Vault. Will work within data lake and lakehouse environments using Delta Lake and Apache Iceberg. Will program and script using Python, Java, and SQL. Will offer workflow orchestration using Apache Airflow. Will perform CI/CD automation using Jenkins and GitHub.

Requirements

Bachelor’s degree in computer science, information technology, math, business, or engineering and 5 years of overall progressive IT experience which includes 5 years of experience in the skill sets listed above. Must be willing to travel and relocate. Educational equivalency may be met by a combination of degrees. Minimum salary of $156,998.00.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Applying an ETL methodology to infrastructure configuration management

Axel Barbier · World Congress 2023

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Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

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Open source technology stack for workflow orchestration

Phil Nash · Coffee With Developers

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Extracting API schemas automatically during continuous integration builds

Axel Barbier · World Congress 2023

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