Data Engineering Engineer 2 #1066442

Fasttek; Dearborn (MI); Presencial; USD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and Dental

Vision Insurance

PTO Program

Long Term Disability

Life Insurance

401(k) with immediate vesting

Employee referral program

Employee recognition culture

Descripción de la vacante

FastTek Global is seeking a Data Engineering Engineer 2 to design, build, and maintain data infrastructure supporting large-scale data collection and analysis in Dearborn, Michigan. The role focuses on scalable data pipelines, data models, and platforms, with emphasis on reliable performance and advanced data processing capabilities.

The candidate will collaborate with stakeholders, implement data ingestion and wrangling processes, and leverage cloud services (GCP) and AI-enabled development

Formación

• Design, build and maintain data infrastructure for collecting, storing, processing and analyzing large volumes of data.
• Experience with AI-assisted development tools and cloud AI services is a plus.

Responsabilidades

• Collaborate with stakeholders to understand data requirements.
• Design, build and maintain scalable data infrastructure for data collection, storage, transformation, and analysis.
• Plan and maintain data pipelines, models, and applications for efficient data workflow.
• Develop data platforms like data warehouses and data lakes for structured and unstructured data.
• Develop analytical tools and scripts to automate data engineering tasks.
• Improve performance and identify opportunities; experience with data ingestion and data wrangling, BigQuery is desirable.

Conocimientos

Data/Analytics

Data Modeling

Data Warehousing

Educación

Master's Degree

Bachelor's Degree

Herramientas

GCP

Descripción del empleo

Dearborn, Michigan Data Engineering Engineer 2 #1066442

Position 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

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
• 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

Skills Required

• Data/Analytics, Data Modeling, Data Warehousing. Must have AI skills

Skills Preferred

• GCP

Experience Required

• Engineer 2 Exp: 4+ years Data Engineering work experience
• Experience with Google Cloud Platform (GCP) 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 GCP, such as Vertex AI, Gemini models, and AI APIs, is a plus

Experience Preferred

• Experience in GCP Cloud Services.
• Experience with Google Cloud Platform (GCP) 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

Additional Info

At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.

We have been doing this with pride, dedication and plain, old-fashionedhard work for 24 years!

FastTek Global is financially strong, privately held company that is 100% consultant and client focused.

We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.

FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.

To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork

Follow us on Twitter: https://twitter.com/fasttekglobal

Follow us on Instagram: https://www.instagram.com/fasttekglobal

Find us on LinkedIn: https://www.linkedin.com/company/fasttek

You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/

AI & Hiring Disclosure

We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.

All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.

If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.

Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.

To learn more or exercise your rights, please contact us at [e-mail].