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Full Time Graduate Data Engineer Jobs (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

ExlService Holdings, Inc.

Data Engineer

Pittsburgh, PA · On-site

$100/hr

Graduate in Computer Science, Data Science, or related field. 3-6 years of experience in data engineering or related field. Base Compensation Range: $100-125k The posted range is the hiring range for ...

KēSTA I.T.

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

T. is actively seeking a Data Engineer for an immediate full-time opportunity with our industry leading client. Are you on the lookout for a unique career opportunity that offers leadership ...

Sarian, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Sunnyvale, CA (onsite) Job Type: full time Must Have Technical/Functional Skills • 8+ years of professional experience in data engineering or backend data development roles. • Expert-level ...

Hp

Data Solutions - Data Engineer

Spring, TX · On-site

$130K - $205K/yr

Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

College graduate with a desire to learn. Experience Required * Two years of experience in data engineering, data pipelines, and data services preferred. * Familiarity with Agile/Scrum based ...

Urban SDK

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Type: Full-time * Reports to: Director of Engineering * Salary Based on Experience * Annual Bonus

VTG

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will also integrate with external systems via API, parse API responses into ... UNAVAILABLEEmployment Type: FULL_TIME

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Hp

Forecasting Data Engineer

Vancouver, WA · On-site

$105K - $161K/yr

Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

VivSoft Technologies

Data Engineer

Herndon, VA · Remote

$117K - $140K/yr

Data Engineer Location: Remote, USA Clearance ... Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company ...

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All JobsFull Time Graduate Data Engineer Jobs

Full Time Graduate Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do full time graduate data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for full time graduate data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Graduate Data Engineer jobs? The most popular types of Graduate Data Engineer jobs are:
Full Time Graduate Data Engineer jobs near you

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Posted 24 days ago

Job description

Who We Are:
We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.
What We Are Looking For:
We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.
Responsibilities:
Data Pipeline Development and Management:
  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:
  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:
  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:
  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:
  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:
  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.

Preferred Skills:
  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).

What We Offer:
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.

Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.
This position is open to direct candidates only. We are not working with third-party agencies.
Candidates must be U.S. Citizens or Green Card holders.

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