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Trainee Gcp Data Engineer Jobs in Tennessee (NOW HIRING)

Deloitte

Data Engineer II

Hermitage, TN · On-site

$100K - $120K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools. * Working knowledge of Lakehouse/warehouse architectures and ELT patterns. * Knowledge of DevOps ...

Deloitte

Data Engineer II

Memphis, TN · On-site

$111K - $133K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools. * Working knowledge of Lakehouse/warehouse architectures and ELT patterns. * Knowledge of DevOps ...

United Airlines

GCP Cloud Architect

Nashville, TN · On-site

$82K - $193K/yr

Ensure data protection, encryption, and secure network configurations. * Work closely with cross-functional teams, including engineering, operations, and product teams, to align cloud architecture ...

Deloitte

AI Engineer Consultant

Nashville, TN · Hybrid

... GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Syntricate Technologies

GCP Solution Architect

Memphis, TN · On-site

$61.25 - $80.75/hr

Syntricate Technologies is seeking a GCP Solution Architect to lead cloud migration and ... NoSQL Data Modelling and Design concepts • Strong understanding of DevOps methodologies and ...

omnia

AI/ML Engineer

Franklin, TN

$113K - $135K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... Experience building and deploying applications in cloud environments (AWS, GCP or Azure). Preferred ...

United Airlines

GCP Solution Architect

Nashville, TN · On-site +1

$86K - $203K/yr

Working with GCP team for various GCP Cloud programs including Certifications, Partner engineering ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

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Trainee Gcp Data Engineer information

What is the difference between Trainee Gcp Data Engineer vs Junior Data Engineer?

AspectTrainee Gcp Data EngineerJunior Data Engineer
Required CredentialsBasic understanding of GCP, entry-level certificationsSome certifications, practical experience preferred
Work EnvironmentTraining programs, supervised projectsReal-world data projects, team collaboration
Employer & Industry UsageEntry-level roles in tech and data companiesFull-time roles in data engineering teams

The Trainee Gcp Data Engineer is an entry-level position focused on learning GCP data tools, often in a training setting. A Junior Data Engineer typically has some practical experience and works on real data projects. While both roles involve GCP data services, the trainee role emphasizes learning and development, whereas the junior role involves applying skills in a professional environment.

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For Trainee Gcp Data Engineer jobs in Tennessee, the most frequently searched job titles are:

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Trainee Gcp Data Engineer jobs near you
Infographic showing various Trainee Gcp Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Principal Data Modeler with GCP

Kanak Elite Services Inc

Nashville, TN • On-site

$53 - $68.50/hr

Contractor

Re-posted 2 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Principal Data Modeler with GCP with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Principal Data Modeler with GCP

Location          : Nashville, TN Onsite

Duration         : 12+ months contract

Job Summary:

We are seeking a highly experienced Principal Data Modeler to lead our enterprise data modelling efforts and define the blueprint for how data is structured, integrated, and governed across the organization. You will collaborate with data architects, engineers, analysts, and business stakeholders to design scalable, high-performance data models that support both operational and analytical workloads.

Key Responsibilities:

  • Lead Data Modelling Strategy: Define and drive the enterprise data modelling standards, guidelines, and best practices (conceptual, logical, and physical models).
  • Model Development: Design and maintain enterprise-wide data models, ensuring consistency, reuse, and adherence to data governance policies.
  • Collaboration: Work closely with data architects, DBAs, data engineers, BI teams, and business analysts to ensure models align with business needs and technical environments.
  • Data Integration & Warehousing: Contribute to the design of data lakes, data warehouses, and real-time data pipelines by modelling schemas for structured and semi-structured data.
  • Tool & Technology Expertise: Use industry-standard modelling tools (e.g., ER/Studio, ERwin, SQL Developer Data Modeler) and maintain model repositories and versioning.
  • Metadata & Lineage: Ensure data models are well-documented and integrated into metadata management and data lineage tools.
  • Data Quality & Governance: Support data quality initiatives by ensuring models align with data governance frameworks, including master data management and reference data standards.
  • Mentoring: Provide thought leadership and mentor junior data modellers and data engineers.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 10+ years of experience in data modelling and data architecture, preferably in large-scale enterprise environments.
  • Deep understanding of relational, dimensional, and NoSQL data modelling.
  • Strong knowledge of database technologies (e.g., Oracle, SQL Server, PostgreSQL, Snowflake, Redshift).
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools.
  • Familiarity with data governance, metadata management, and data lineage concepts.
  • Exceptional analytical, problem-solving, and communication skills.
  • Proven ability to work cross-functionally with both technical and non-technical teams.