Job description

Job Title: Data Engineer II – GCP & AI Overview / Summary We are seeking a Data Engineer II with 4+ years of data engineering experience to design, build, and maintain scalable data infrastructure, pipelines, and platforms. The ideal candidate will have experience with Google Cloud Platform (GCP), data ingestion and transformation, data modeling, data warehousing, and AI-assisted development tools. Key Responsibilities • 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. • Develop and maintain data pipelines, data models, and applications to support efficient and reliable data workflows. • Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses, for structured and unstructured data. • Develop analytical tools, algorithms, and programs to support data engineering activities. • Write scripts and automate tasks to improve operational efficiency. • Ensure optimal performance of data solutions and identify opportunities for improvement. • Perform data ingestion, data wrangling, and data transformation, including loading data into BigQuery. • Work with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. • Leverage AI-assisted development tools to improve developer productivity across coding, debugging, testing, and documentation. • Apply knowledge of agentic AI concepts, AI agents, autonomous workflows, multi-agent systems, and large language models (LLMs) to support software development and business process automation. Required Qualifications • 4+ years of professional data engineering experience. • Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment. • Strong knowledge of data modeling, data warehousing, and data analytics. • Experience with data ingestion, data wrangling, data transformation, and loading data into BigQuery. • Experience with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. • Intermediate-level AI skills. • Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot. • Knowledge of agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and LLM-based automation. • Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation. • Bachelor's or master's degree. Preferred Qualifications • Experience with GCP cloud services and cloud-native application development and deployment. • Familiarity with GCP AI services, including Vertex AI, Gemini models, and AI APIs. • What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-BR1

Requirements

Must-haves

Job Title: Data Engineer II – GCP & AI
Overview / Summary
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.
Develop and maintain data pipelines, data models, and applications to support efficient and reliable data workflows.
Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses, for structured and unstructured data.
Develop analytical tools, algorithms, and programs to support data engineering activities.
Write scripts and automate tasks to improve operational efficiency.
Ensure optimal performance of data solutions and identify opportunities for improvement.
Perform data ingestion, data wrangling, and data transformation, including loading data into BigQuery.
Work with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow.
Leverage AI-assisted development tools to improve developer productivity across coding, debugging, testing, and documentation.
Apply knowledge of agentic AI concepts, AI agents, autonomous workflows, multi-agent systems, and large language models (LLMs) to support software development and business process automation.
4+ years of professional data engineering experience.
Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
Strong knowledge of data modeling, data warehousing, and data analytics.
Experience with data ingestion, data wrangling, data transformation, and loading data into BigQuery.
Experience with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow.
Intermediate-level AI skills.
Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot.
Knowledge of agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and LLM-based automation.

Nice-to-haves

Experience with GCP cloud services and cloud-native application development and deployment.
Familiarity with GCP AI services, including Vertex AI, Gemini models, and AI APIs.
What Makes HTC A Great Place To Build Your Future

Application prep

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Keywords to mirror

gcpaillm

Platform: htc-global
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness

Professional Development