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Full Time Data Engineer Jobs (NOW HIRING)

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 ...

Data Engineer

Draper, UT

$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 ...

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 ...

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 ...

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

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... TYPICAL WORKING CONDITIONS * Full time remote/telework OTHER PHYSICAL REQUIREMENTS * Vision * Sense ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... TYPICAL WORKING CONDITIONS * Full time remote/telework OTHER PHYSICAL REQUIREMENTS * Vision * Sense ...

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 ...

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 ...

Data Engineer

Fort George G Meade, MD · Hybrid

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Glendale, CA Job Type: Full-Time ● Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines ● Build tools and services to support data discovery, lineage ...

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time | Exempt | Hybrid Eligible Salary Range ... 150,000 - $170,000 per year About Commercial Bank of California Commercial Bank of California (CBC ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

Job Type Full-time Description Role Overview: The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Saint Paul, MN · On-site

$101K - $130K/yr

Data Engineer * Full Time * Onsite/Hybrid Preferred Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation ...

Data Engineer

$116K - $155K/yr

Data Engineer Department ... IT Employment Type: Full Time Location: Remote- USA Compensation: $116,000 - $155,000 / year ...

Data Engineer Sr

Tempe, AZ · On-site

$101K - $137K/yr

Job Summary Sundt Construction, Inc. has full time Data Engineer Senior position in Tempe, Arizona. Duties include: End-to-end management of data across the organization., including design ...

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Full Time Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 17, 2026, the average yearly pay for full time 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 is the difference between Full Time Data Engineer vs Data Analyst?

AspectFull Time Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in cloud or data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and skills needed

Full Time Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems, often requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, typically using analytics tools. Both roles are essential in data-driven organizations but differ in technical depth and focus areas.

More about Full Time Data Engineer jobs
What cities are hiring for Full Time Data Engineer jobs? Cities with the most Full Time Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Full Time Data Engineer jobs? States with the most job openings for Full Time Data Engineer jobs include:

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 7 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.