Sr. GCP Data Engineer

Data Engineer Opportunity

Must not require future sponsorship for this opportunity. Must be a current resident of Chicago, IL.

Top Skills Details:

• Ability to design and build large-scale automated data pipelines integrated across multi-platform and disparate data sources using GCP Native services (Big Query, Dataflow, Dataproc)
• Advise on key architectural decisions related to data modeling, storage, real-time processing and orchestration
• Ability to work with multi statement complex queries and enhance performance or possess the ability to troubleshoot issues related to performance
• Implement scalable, reusable and efficient data frameworks that ensure data quality, integrity and performance

Description:

The data engineer will play a role accomplishing the following team goals: Data Centralization, Data Governance, and Data Integrity. They will lead component design and development, work with data science, development and business analytics teams to design scalable data solutions ensuring quality and performance. They will use their data engineering expertise to enable our company to derive insights, perform analytics, and make decisions on the modern data solutions they will help design, build, and maintain.

Skills:

• GCP, Big Query, SQL, NoSQL, Python

Additional Skills & Qualifications:

• Design and build large-scale automated and cost-efficient data pipelines that are integrated across multi-platform and disparate data sources using GCP native services (e.g., BigQuery, Dataflow, Dataproc)
• Make key architectural decisions related to data modeling, storage, real-time processing, and orchestration
• Work with multi-statement complex queries and enhance performance or able to troubleshoot issues related to performance
• Implement scalable, reusable and efficient data frameworks that ensure data quality, data integrity and performance consistently
• Assist in establishing data governance, quality, and lineage practices using tools like Data Catalog, Data Loss Prevention (DLP), or Cloud Audit Logs.
• Creates and maintains intermediate to advanced terraform scripts
• Mentor junior and mid-level engineers, conduct code reviews, and provide technical guidance on best practices
• Translate business requirements into technical design documents and implementation plans
• Participate in support rotation and proactively identify issues while implementing issue resolutions as appropriate

Experience Level:

Expert Level

Pay and Benefits:

The pay range for this position is $60.00 - $64.00/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 Chicago, IL.

Application Deadline:

This position is anticipated to close on Oct 28, 2025.

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.