GCP Data Engineer

Insight Global; Dearborn (MI); In loco; USD 90.000 - 107.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical Insurance

Dental Insurance

Vision Insurance

HSA

FSA

DCFSA

401K

Descrizione del lavoro

Insight Global is seeking a Data Engineer to support the collection, storage, processing, and analysis of large-scale data sets. The role focuses on scalable data infrastructure, ETL/ELT processes, and cloud platforms to enable data-driven decision making across the organization.

The position offers an hourly rate of $65–$78, with benefits including medical, dental, vision, HSA, FSA, DCFSA, 401K with employer matching, and paid time off.

Competenze

• 5+ years of data engineering experience.
• Experience with GitHub, Google Cloud Platform, BigQuery, Python, and ML.

Mansioni

• Partner with business and technology stakeholders to translate data requirements into scalable solutions.
• Design, build, and maintain robust data infrastructure for ingestion, storage, transformation, and analytics.
• Develop and optimize pipelines, data models, and workflows for reliable data movement across systems.
• Design and support data platforms including data warehouses, data lakes, and lakehouse architectures.
• Create and maintain data engineering tools, scripts, and automation to improve efficiency.
• Monitor and optimize data systems for performance, scalability, and reliability.
• Ensure data quality, integrity, security, and governance across environments.
• Collaborate with cross-functional teams to support reporting and ML initiatives.

Conoscenze

Data engineering experience

Strumenti

GitHub

Google Cloud Platform

BigQuery

Python

Machine Learning

Descrizione del lavoro

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.

Key Responsibilities

• 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.

$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.

Skills and Requirements

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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].