1

Data Processing Services Jobs in Georgia (NOW HIRING)

Data Engineer - GCP

Atlanta, GA ยท On-site

$110K - $132K/yr

Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data ... Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data ... Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data ... Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub ...

Big Data Developer

Atlanta, GA ยท On-site

$51 - $66/hr

Design, build, and maintain scalable Big Data pipelines using GCP services. * Develop and manage batch and streaming data processing using Dataflow / Apache Beam . * Work with BigQuery, Cloud Storage ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Strong experience with Python and PySpark for large-scale data processing * Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions * Solid SQL SQL skills and ...

Sr Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Optimize data processing for performance, cost, and reliability at scale * Create robust data ... Create self-service data assets enabling data scientists and ML engineers to access and utilize ...

Sr Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Optimize data processing for performance, cost, and reliability at scale * Create robust data ... Create self-service data assets enabling data scientists and ML engineers to access and utilize ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Optimize data processing for performance, cost, and reliability at scale * Create robust data ... Create self-service data assets enabling data scientists and ML engineers to access and utilize ...

Sr Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Optimize data processing for performance, cost, and reliability at scale * Create robust data ... Create self-service data assets enabling data scientists and ML engineers to access and utilize ...

next page

Showing results 1-20

Data Processing Services information

What are career opportunities in data processing services?

Career opportunities in data processing services include roles such as data analyst, data entry clerk, database administrator, and data engineer. These positions often require skills in data management tools, programming languages like SQL or Python, and attention to detail. Opportunities exist across industries such as finance, healthcare, and technology, with some roles requiring certifications or experience in data security and quality assurance.

What is the difference between Data Processing Services vs Data Analysts?

AspectData Processing ServicesData Analysts
Primary RoleHandling data entry, cleaning, and preparation for analysisInterpreting data, generating insights, and creating reports
Required SkillsData management, basic software proficiency, attention to detailStatistical analysis, data visualization, critical thinking
Work EnvironmentData centers, offices, remote data teamsOffices, research teams, business units
CertificationsData management certifications, basic IT skillsData analysis certifications, statistical tools proficiency

Data Processing Services focus on preparing and managing raw data, while Data Analysts interpret this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What is a data processing service?

A data processing service involves collecting, organizing, and converting raw data into a usable format for analysis or decision-making. Data processing professionals often use tools like databases, spreadsheets, and programming languages to perform tasks such as data entry, validation, and transformation, ensuring data accuracy and integrity.

What does a data processing services job do?

A data processing services job involves collecting, organizing, and analyzing data to ensure accuracy and usability. It often requires skills in data entry, database management, and familiarity with tools like Excel or specialized software, with attention to detail and data security being important aspects.
What cities in Georgia are hiring for Data Processing Services jobs? Cities in Georgia with the most Data Processing Services job openings:
Infographic showing various Data Processing Services job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA โ€ข On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 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.