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Professional Data Engineer Jobs (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

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.

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

... 3+ years of professional data engineering or ETL/ELT development experience Expert-level SQL skills with proven optimization experience Proficiency in Python, Scala, or similar data processing ...

Kaav Inc.

Data Engineer - Azure Data Factory

Addison, TX · Hybrid

$110K - $133K/yr

Required Skills & Qualifications * 3-6 years of professional Data Engineering experience. * Strong hands-on expertise with Azure Data Factory (ADF) and building ETL/ELT pipelines . * Experience with ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

... of professional data engineering or ETL/ELT development experience • Expert-level SQL skills with proven optimization experience • Proficiency in Python, Scala, or similar data processing ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

... of professional data engineering or ETL/ELT development experience • Expert-level SQL skills with proven optimization experience • Proficiency in Python, Scala, or similar data processing ...

Damco

Snowflake Sr Data Engineer

Dallas, TX

$113K - $136K/yr

Certification in cloud technologies or data engineering (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) is a plus.

Ford Motor Company

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years of professional Data Engineer experience * Strong SQL skills: Ability to write complex queries ...

Aquity Solutions

Senior Data Engineer

$108K - $147K/yr

Brings 5+ years of professional data engineering experience, with at least 2 years focused on cloud-native environments. * Advanced proficiency in Python and SQL for data pipeline development and ...

Kyndryl

Data Engineer

Dallas, TX

$113K - $136K/yr

As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and ... professional development. You are customer-focused - someone who prioritizes customer success in ...

Programmers.io

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109K - $131K/yr

GCP certifications (e.g., Professional Data Engineer ) Education * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) What We ...

SteerBridge

Data Engineer - Beaufort, SC

Beaufort, SC · On-site

$104K - $125K/yr

They are seeking a Data Engineer to support aviation analytics and aircraft readiness initiatives ... SteerBridge specializes in providing professional services and cutting-edge solutions to the U.S.

CVS Health

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Google Professional Data Engineer Certification * Knowledge of microservices and SOA * Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge * Experience designing ...

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All JobsProfessional Data Engineer Jobs

Professional Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do professional data engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for professional 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 engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Achieving this level often requires specialized certifications, a strong track record, and working in competitive markets.

Are data engineers highly paid?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data infrastructure, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but they are generally among the better-paid roles in the tech field.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, ensuring data quality, and integrating AI tools effectively. Their expertise remains critical in managing data infrastructure and implementing scalable solutions.

What does a professional data engineer do?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and secure for analysis and decision-making.
What cities are hiring for Professional Data Engineer jobs? Cities with the most Professional 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 Professional Data Engineer jobs? States with the most job openings for Professional Data Engineer jobs include:
Professional Data Engineer jobs near you

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Posted 10 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.
  • 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.

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.
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.

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