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Data Processing Programmer 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 ... Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data ...

Element Materials Technology

Data Processor

Mililani, HI · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Element Materials Technology

Data Processor

Norwalk, CT · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Element Materials Technology

Data Processor

Auburn, ME · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Element Materials Technology

Data Processor

Potsdam, NY · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Element Materials Technology

Data Processor

Boone, NC · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Element Materials Technology

Data Processor

Barre, VT · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

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Data Processing Programmer information

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$15

$28

$46

How much do data processing programmer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data processing programmer in the United States is $28.14, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $29.81 per hour, depending on experience, location, and employer.

What is the difference between Data Processing Programmer vs Data Analyst?

AspectData Processing ProgrammerData Analyst
Required CredentialsTypically a degree in Computer Science, Information Technology, or related field; programming certificationsOften a degree in Statistics, Mathematics, or Business; data analysis certifications
Work EnvironmentPrimarily in IT departments, focusing on coding, database management, and automationIn business or research settings, analyzing data to generate insights
Employer & Industry UsageUsed across tech, finance, healthcare, and manufacturing industries for data processing tasksCommon in marketing, finance, healthcare, and consulting for decision-making support

While both roles involve working with data, Data Processing Programmers focus on coding, automating data workflows, and managing databases, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

How does a data processing programmer typically collaborate with other teams within an organization?

Data Processing Programmers frequently work with data analysts, database administrators, and business intelligence teams to ensure that data workflows are efficient and reliable. Collaboration often involves gathering requirements, troubleshooting data inconsistencies, and optimizing processing scripts to meet evolving business needs. Open communication and regular meetings are common to align technical solutions with project goals, and programmers may also provide documentation and user support for automated processes they develop. This teamwork helps ensure data accuracy and supports decision-making across the organization.

What is a data processing programmer?

Data Processing Programmers are professionals who design, write, test, and maintain computer programs that process and manage large volumes of data. They work with programming languages and database systems to automate the collection, transformation, and analysis of data for organizations. Their responsibilities often include writing code to clean, organize, and store data efficiently, as well as troubleshooting any issues that arise during data processing. These programmers are essential in industries that rely on large datasets, such as finance, healthcare, and research.

What are the key skills and qualifications needed to thrive as a data processing programmer, and why are they important?

To excel as a Data Processing Programmer, you need strong programming skills (often in languages like Python, SQL, or Java), a solid understanding of data structures, and a relevant degree in computer science or a related field. Experience with data processing tools, database management systems, and ETL (Extract, Transform, Load) platforms is commonly required. Analytical thinking, attention to detail, and effective problem-solving are valuable soft skills for this role. These skills ensure accurate, efficient handling of large datasets and help deliver reliable data solutions that support business decision-making.
More about Data Processing Programmer jobs
What job categories do people searching Data Processing Programmer jobs look for? The top searched job categories for Data Processing Programmer jobs are:
Data Processing Programmer jobs near you
Infographic showing various Data Processing Programmer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,536 per year, or $28.1 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted yesterday

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.

Apply