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Professional Data Engineer Jobs (NOW HIRING)

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.

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.

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/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.

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 ...

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.

Apply professional engineering judgment to realistic data engineering scenarios. Qualifications Must-Have * 2+ years of professional data engineering experience. * Experience building ETL pipelines ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles. * 7+ years of experience in data ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles. * 7+ years of experience in data ...

Sr Data Engineer

Seattle, WA · On-site

$148K - $199K/yr

Experience building data pipelines and complex data transformations * 5+ years of professional experience in data engineering, including designing, developing, and operating of cloud-based data ...

Sr Data Engineer

Glendale, CA · On-site

$148K - $199K/yr

Experience building data pipelines and complex data transformations * 5+ years of professional experience in data engineering, including designing, developing, and operating of cloud-based data ...

Experience building data pipelines and complex data transformations * 5+ years of professional experience in data engineering, including designing, developing, and operating of cloud-based data ...

GCP Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... Professional Data Engineer Certification is highly preferred. Company : Abode TechZone LLC is fast ... growing staffing corporation, business growth depends on putting the right people in place -- the ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Required : • 3-5+ years of professional data engineering experience. • 2-3+ years of hands-on experience with Python. • 2-3+ years of hands-on experience with SQL. • Proven, professional ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Required : • 3-5+ years of professional data engineering experience. • 2-3+ years of hands-on experience with Python. • 2-3+ years of hands-on experience with SQL. • Proven, professional ...

Showing results 21-40

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 Aug 6, 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 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. Certification and experience in data architecture are common for this role.

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:

Data Engineer :: Bentonville AR (Hybrid)

1 point system

Bentonville, AR • On-site

$100K - $120K/yr

Contractor

Re-posted 20 days ago


Job description

Requirement - Data Engineer

Location- Bentonville AR (Hybrid)

Contract W2

Job description:
KEY RESPONSIBILITIES

•    Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP 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 GCP data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow

•    Solid understanding of ETL/ELT patterns and data warehousing principles

 

PREFERRED QUALIFICATIONS

•    GCP 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