GCP Data Engineer

NO SPONSORSHIP AVAILABLE. NO C2C.

• Description

The Finance Data Hub team plays a key role in how our client approaches data analytics across the enterprise. Positioned within the Data Platform group, this team is focused on building a modernized, cloud-native data warehouse. Their work leverages Google Cloud Platform (GCP) technologies such as Cloud Run and BigQuery, to create scalable infrastructure that enables efficient, secure, and insightful financial data operations. This initiative reflects our client's broader commitment to using advanced analytics and cloud solutions to drive smarter decision-making company-wide.

Originally formed as a data ingestion team, the group has evolved into a full-stack data engineering unit. This transition reflects a broader strategic shift from simply moving data to curating it, analyzing it, and enabling discovery. The team is developing capabilities that span the entire data lifecycle, allowing them to deliver more comprehensive insights and support for financial decision-making.

Employees in this job function are responsible for :

• Designing, building, and maintaining data solutions including data infrastructure, pipelines, etc.
• Collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.

Key Responsibilities :

1. Partner with business, technology, and finance stakeholders to deeply understand complex business processes and translate them into detailed, actionable technical requirements.

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

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

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

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

6. Ensure optimum performance and identify improvement opportunities.

7. Lead identification and validation of appropriate source systems within our BigQuery environment, leveraging SME relationships and documenting findings for future reuse.

8. Collaborate with our data architect to ensure all delivered solutions align with enterprise warehouse standards and promote reusable components.

9. Create comprehensive documentation including business requirement documents, data dictionaries, and implementation guides that reduce knowledge transfer overhead.

Skills Required :
• SQL
• Python
• GitHub

Skills Preferred :

• Google Cloud Platform (GCP)
• Tekton
• Data Analysis
• Financial Planning
• Financial Analysis

Experience Required :

• Engineer 2 level
• 4+ years of Data Engineering work experience

Experience Preferred :

• Google Cloud Platform (GCP)
• Airflow / Astronomer / Composer
• Terraform
• Git
• Tekton

Education Required :

• Bachelor's Degree

Additional Information :

• Onsite 4 days per week
• Additional Skills & Qualifications

Google Cloud Platform (GCP)

SQL

Python

Data Pipeline Orchestration (e.g., Airflow, Composer)

CI / CD Tools (e.g., Git, Tekton)

• Experience Level

Intermediate Level

• Pay and Benefits

The pay range for this position is $48.00 - $75.00 / hr.

Eligibility requirements apply to some benefits and may depend on your job

classification and length of employment. Benefits are subject to change and may be

subject to specific elections, plan, or program terms. If eligible, the benefits

available for this temporary role may include the following :

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off / Leave (PTO, Vacation or Sick Leave)
• Workplace Type

This is a hybrid position in Dearborn,MI.

• Application Deadline

This position is anticipated to close on Oct 24, 2025.

h4>

About TEKsystems :

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.