GCP Data Engineer

Insight Global
Dearborn, MI, United States
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$112,320.0 - $141,440.0
Working hours
Regular working hours

Tech stack

Big Data BigQuery Business Process Modeling Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Data Warehousing Github Python (Programming Language) Machine Learning
+8 more
Unstructured Data Enterprise Data Management Google Cloud Cloud Platform System Data Ingestion Data Lakes Data Analytics Data Pipelines

Job description

Insight Global is seeking a Data Engineer to support the collection, storage, processing, and analysis of large-scale data sets. This individual will play a key role in designing and maintaining scalable data solutions that enable efficient, reliable, and accurate data-driven decision-making across the organization., Partner with business and technology stakeholders to understand current and future data requirements and translate them into scalable solutions. Design, build, and maintain robust data infrastructure to support data ingestion, storage, transformation, and analytics. Develop and optimize scalable data pipelines, data models, and workflows that ensure reliable and efficient movement of data across systems. Design, implement, and support enterprise data platforms, including data warehouses, data lakes, and lakehouse architectures, for both structured and unstructured data. Create and maintain data engineering tools, scripts, and automation solutions to streamline processes and improve operational efficiency. Monitor and optimize the performance, scalability, and reliability of data systems, proactively identifying opportunities for improvement. Ensure data quality, integrity, security, and governance standards are maintained across all data environments. Collaborate with cross-functional teams to support reporting, analytics, machine learning, and other data-driven initiatives.

This role requires a strong understanding of modern data architecture, ETL/ELT processes, cloud-based data platforms, and best practices in data engineering.

Requirements

5+ years Data Engineering work experience Experience with GitHub, Google Cloud Platform, Big Query, Python, Machine Learning

Benefits & conditions

$65/hr to $78/hr

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law., Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.insightglobal.com

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