Job Title: GCP Data Engineer
Company: ChabezTech LLC
Location: Chicago, IL (Hybrid – 4 Days Onsite)
Employment Type: Full-Time
Salary: Up to $130,000 + Benefits
Work Authorization: U.S. Citizen or Green Card Holder
About ChabezTech LL
CChabezTech LLC is a technology-driven organization focused on delivering innovative data, cloud, and digital transformation solutions. We are seeking a highly skilled GCP Data Engineer to join our growing team and help build scalable, high-performance data platforms that drive business insights and operational excellence
.Position Overvie
wThe GCP Data Engineer will be responsible for designing, developing, and maintaining enterprise-grade data pipelines and cloud-based data solutions. The ideal candidate will possess strong expertise in Google Cloud Platform technologies, modern data architectures, real-time data processing, and large-scale data engineering practices
.Key Responsibilitie
- sCollaborate with business stakeholders, IT teams, analysts, and data scientists to understand and translate business requirements into scalable data solutions
- .Design, develop, deploy, and support high-performance data pipelines for batch and real-time processing
- .Build and maintain data models, semantic layer objects, and enterprise data platform components
- .Optimize data pipelines, workflows, and queries for performance, scalability, reliability, and cost efficiency
- .Develop and maintain CI/CD pipelines to support continuous integration and deployment of data products
- .Ensure data quality by identifying issues, creating remediation plans, and partnering with business and technical teams to resolve root causes
- .Document architecture designs, data flows, operational procedures, and support strategies
- .Capture and maintain data lineage, metadata, and governance-related information
- .Troubleshoot and resolve data engineering and platform-related challenges
- .Develop REST APIs and data services for internal consumers and applications
- .Mentor junior engineers and contribute to engineering standards and best practices
.Required Qualification
- s6+ years of experience in Data Engineering, Data Platforms, ETL/ELT Development, Data Management, or Analytics Engineering
- .2+ years of hands-on experience with Google Cloud Platform (GCP)
- .Strong experience with
- :BigQuer
- yCloud Composer (Airflow
- )Google Cloud Storage (GCS
- )Dataflo
- wDatastrea
- mExpert-level proficiency in SQL and Python
- .Experience building and managing Airflow workflows, DAGs, and orchestration frameworks
- .Strong experience in query tuning and performance optimization
- .Experience implementing real-time data ingestion solutions using
- :Google Pub/Su
- bKafk
- aSpar
- kSimilar streaming technologie
- sExperience implementing CI/CD processes and deployment automation
- .Proven experience delivering enterprise-scale data solutions in Agile environments
.Preferred Qualification
- sExperience with data governance, metadata management, and data lineage frameworks
- .Experience developing RESTful APIs and microservices
- .Familiarity with distributed data processing technologies
- .Strong analytical, problem-solving, and communication skills
- .Previous experience mentoring engineers and supporting technical leadership initiatives
.Technical Skill
s
Cloud Platforms: Google Cloud Platform (GC
P)Data Technologies: BigQuery, Dataflow, Datastream, GCS, Pub/S
ubProgramming: Python, S
QLOrchestration: Cloud Composer (Airflo
w)Streaming: Kafka, Spa
rkDevOps: CI/CD, Git, Deployment Automati
onData Management: Data Modeling, Data Quality, Data Lineage, Metadata Manageme
ntMethodologies: Agile, Scr
umAdditional Informati
- onHybrid work model requiring 4 days onsite per week in Chicago, I
- L.Relocation candidates are encouraged to appl
- y.Comprehensive benefits package offere
- d.Opportunity to work on cutting-edge cloud and data engineering initiatives within a collaborative and innovative environmen
t.
