> Markdown version of [/jobs/ext/1498537-data-engineering-engineer-2](https://www.wearedevelopers.com/jobs/ext/1498537-data-engineering-engineer-2). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineering Engineer 2

- **Company:** Ip Technology Services, Inc.
- **Location:** Dearborn, MI, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Code Generation, Information Engineering, Data Fusion, Data Infrastructure, Data Systems, Data Warehousing, Software Debugging, Programming Tools, Cloud Services, Software Engineering, Systems Integration, Unstructured Data, Data Processing, Scripting, Google Cloud, Data Ingestion, GitHub Copilot, Large Language Models, Multi-Agent Systems, Data Lakes, AI Platforms, Qlikview, Data Management, Data Lakehouse, Virtual Agents, Data Pipelines
- **Published:** July 30, 2026
- **Apply:** https://www.dice.com/job-detail/e8ff9212-38b2-4524-ab3f-7fad1deaad99

## About the Role

· Data/Analytics

· Data Warehousing

· Data Modeling

Skills Preferred:

· Google Cloud Platform

Experience Required:

· Engineer Exp: 4+ years Data Engineering work experience

· Experience with Google Cloud Platform (Google Cloud Platform) services, including cloud-native application development and deployment.

· Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity.

· Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and the use of large language models (LLMs) to automate software development and business processes.

· Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.

· Familiarity with cloud AI services on Google Cloud Platform, such as Vertex AI, Gemini models, and AI APIs, is a plus

Experience Preferred:

· Experience in Google Cloud Platform Cloud Services.

· Experience with Google Cloud Platform (Google Cloud Platform) services, including cloud-native application development and deployment.

· Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity

Education Required:

· Master''s Degree

· Bachelor''s Degree

## Description

· Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately, · Collaborate with business and technology stakeholders to understand current and future data requirements

· Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis

· Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow

· Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data

· Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks

· Ensure optimum performance and identify improvement opportunities

· Experience in Data ingestion for all types of data and data wrangling and transformations and land data in Big Query.

· Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story)
- [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)