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Professional Data Engineer Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

$117K - $140K/yr

... Professional Data Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... Professional Data Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the ...

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

GCP Certification (Professional Data Engineer required) * 5+ years in data engineering with strong Python and SQL skills * Deep experience with GCP: BigQuery, Dataflow, Pub/Sub, and Cloud Storage

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... Professional Data Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the ...

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Professional Data Engineer or Associate Cloud Engineer certification. * Experience with Apache Beam, Kafka, or similar streaming frameworks. * Familiarity with CI/CD pipelines for data ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

BigQuery, Cloud Storage, Pub/Sub, Dataflow • Solid understanding of ETL/ELT patterns and data warehousing principles PREFERRED QUALIFICATIONS • GCP Professional Data Engineer certification • ...

New

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

BigQuery, Cloud Storage, Pub/Sub, Dataflow • Solid understanding of ETL/ELT patterns and data warehousing principles PREFERRED QUALIFICATIONS • GCP Professional Data Engineer certification • ...

New

Inficare Technologies

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Certifications in cloud platform (GCP Professional Data Engineer) is a plus. * Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$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.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$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.

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

Google Cloud certifications (e.g., Google Cloud Certified Professional Data Engineer). * Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker). Cloud BC Labs Inc is a digital ...

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.

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All JobsProfessional Data Engineer Jobs

Professional Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do professional data engineer jobs pay per year?

As of Jul 11, 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 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High-paying roles often require certifications, leadership responsibilities, and working in competitive markets or large organizations.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills to support data-driven decision-making.

What engineer makes $500,000 a year?

A Professional Data Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms like Google Cloud or AWS, and certifications. High salaries are often associated with senior roles, leadership positions, or working in large organizations with complex data infrastructure.

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.

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

Google Cloud Platform Data Engineer

PY DATA, INC.

Bentonville, AR • On-site

$97K - $117K/yr

Other

Posted 2 days ago

New

Job description

Google Cloud Platform Data Engineer

Hybrid Bentonville, AR

6 months Contract to Hire (CTH)

Must haves:
Google Cloud Platform Data Engineering

KEY RESPONSIBILITIES

  • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and Google Cloud Platform Dataflow
  • Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries
  • Build and maintain data pipelines feeding AI/ML feature stores and forecasting models
  • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training
  • Manage and optimize Cloud Composer DAGs and pipeline orchestration
  • Implement data quality monitoring, alerting, and lineage tracking
  • Participate in data platform architecture decisions and documentation

REQUIRED QUALIFICATIONS

  • 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience
  • Hands-on experience with Apache Airflow for pipeline orchestration
  • Proficiency in Apache Spark for large-scale data processing
  • Strong SQL skills including complex query optimization and BigQuery-specific capabilities
  • Experience with Google Cloud Platform data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow
  • Solid understanding of ETL/ELT patterns and data warehousing principles

PREFERRED QUALIFICATIONS

  • Google Cloud Platform Professional Data Engineer certification
  • Experience supporting ML/AI data infrastructure (feature engineering, training datasets)
  • Familiarity with real-time streaming (Kafka, Dataflow/Flink)
  • Retail or large-scale consumer data experience

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