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Data Processor Jobs in Atlanta, GA (NOW HIRING)

Aderant

Principal Data Engineer

Atlanta, GA · On-site

Develop reusable Python libraries and frameworks for data processing and transformation * Implement data lineage tracking and query optimization strategies * Design event-driven data architectures ...

Federal Reserve Bank of Richmond

Data Architect

Atlanta, GA

$61.25 - $78.75/hr

Implement scalable data processing frameworks capable of supporting growing dataset volumes. * Improve indexing and metadata strategies that support dataset search and discovery. * Enable advanced ...

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics * Build and deploy serverless data solutions using Azure Functions for ...

Saransh Inc

Associate Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

Develop and maintain ETL processes using cloud-based data services and tools.Implement and enforce data governance best practices including data lineage, quality management, and compliance.Ensure ...

Coca-Cola

Process & Data Analyst

Atlanta, GA · On-site

The Process & Data Analyst provides handson analytical, operational, and process improvement support, with primary ownership of contract setup and royalty reporting processes and data integrity ...

Aderant

Principal Data Engineer

Atlanta, GA

Developreusable Pythonlibraries and frameworks for data processing and transformation * Implement data lineage tracking and queryoptimizationstrategies * Designevent-driven data architectures ...

AEG

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. As a Data Engineer, you will ...

Datum Technologies Group

Sr Data Analyst I

Atlanta, GA · On-site

$82.70K - $104.30K/yr

The role involves maintaining master data in SAP and supporting the development of lifecycle processes for logistics operations. Responsibilities : • CLIENT's Onboard Services, Material Logistics ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$120K - $140K/yr

... processing concepts Preferred Skills • Experience with AWS/Azure data services • Familiarity with mainframe data integration • Exposure to modern data platforms (Lakehouse / Data Warehouse ...

Cedent

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111.80K - $134.20K/yr

You will be responsible for architecting, developing, and maintaining data pipelines, optimizing data lifecycle processes, and creating insightful reports and dashboards that drive decision-making.

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Adhere to processes to ensure data pulled from various sources meets quality standards, is curated and enhanced for analytical use, and there is a single source of truth. * Work with data architects ...

CEDENT

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA

$111.80K - $134.20K/yr

You will be responsible for architecting, developing, and maintaining data pipelines, optimizing data lifecycle processes, and creating insightful reports and dashboards that drive decision-making.

Cox Communications, Inc.

Sr Data Engineer

Atlanta, GA · On-site +1

$101.50K - $169.10K/yr

Process Structured and Unstructured Data * Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks. * Understands and ...

Cox Communications, Inc.

Sr Data Engineer

Atlanta, GA · On-site

$101.50K - $169.10K/yr

Process Structured and Unstructured Data * Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks. * Understands and ...

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$12

$19

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How much do data processor jobs pay per hour?

As of May 30, 2026, the average hourly pay for data processor in Atlanta, GA is $19.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.92 per hour, depending on experience, location, and employer.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a Data Processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

More about Data Processor jobs
What are the most commonly searched types of Data Processor jobs in Atlanta, GA? The most popular types of Data Processor jobs in Atlanta, GA are:
What are popular job titles related to Data Processor jobs in Atlanta, GA? For Data Processor jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Atlanta, GA look for? The top searched job categories for Data Processor jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Processor jobs? Cities near Atlanta, GA with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Atlanta, GA as of May 2026, with employment types broken down into 50% As Needed, and 50% Full Time. Highlights an 100% Physical job distribution, with an average salary of $41,352 per year, or $19.9 per hour.
Principal Data Engineer

Principal Data Engineer

Aderant

Atlanta, GA • On-site

Full-time

Posted 13 days ago

Job description

Aderant is a global industry leading software company providing comprehensive business management solutions for law firms and other professional services organizations with a mission to help them run a better business. We are motivated by a collective desire to drive the legal industry to the forefront of innovation. With over 2,500 clients around the world, including 95 of the top AmLaw 100 firms, we are changing the outside perception of the legal sphere; where there was once resistance to modernization, we are creating a culture that embraces new ideas and technology.
At Aderant, the "A" is more than just a letter. It is a representation of how we fulfill our foundational purpose, serving our clients. It embodies our core values and reminds us that to achieve success, every day must start with the "A". We bring the "A" to life by fostering a culture of innovation, collaboration, and personal growth. We encourage our diverse teams to bring their whole selves to work - ideas, experience, and passion - to drive our mission forward.
Our people are our strength.
Principal Data Engineer
About the Role
We are seeking a Principal Data Engineer to lead the design, development, and optimization of our cloud-native data platform. You will be responsible for architecting scalable ETL pipelines, mentoring engineers, and driving technical decisions that shape our data infrastructure. This is a hands-on leadership role requiring deep expertise in AWS data services, distributed computing, and modern data lakehouse architectures.
Responsibilities
Technical Leadership
  • Architect and evolve our medallion-based data lakehouse (Bronze/Silver/Gold tiers) on AWS
  • Design and implement data transformation pipelines that scale to handle petabytes of data
  • Establish best practices for data modeling, including dimensional modeling (Fact/Dimension tables) and slowly changing dimensions
  • Define and enforce data quality, governance, and security standards across the platform
  • Lead technical design reviews and provide guidance on complex engineering challenges
Hands-On Engineering
  • Build and maintain production-grade ETL pipelines using AWS Glue, PySpark, and Apache Iceberg
  • Develop reusable Python libraries and frameworks for data processing and transformation
  • Implement data lineage tracking and query optimization strategies
  • Design event-driven data architectures using Step Functions, Lambda, and SQS
  • Optimize Spark jobs for performance, cost efficiency, and reliability
Collaboration & Mentorship
  • Mentor and coach data engineers, fostering a culture of technical excellence
  • Partner with Data Scientists, Analytics Engineers, and Product teams to understand data requirements
  • Collaborate with Platform and DevOps teams on CI/CD, observability, and infrastructure automation
  • Contribute to architectural decisions and technical roadmap planning
Required Qualifications
Experience
  • 8+ years of experience in data engineering, with 3+ years in a senior or lead capacity
  • Proven track record of designing and operating large-scale data platforms in production
  • Experience leading technical projects and mentoring engineers
AWS Data Engineering Expertise
Proficiency with AWS data engineering services including but not limited to:
  • Data Movement & Integration: DMS (Database Migration Service), SQS, Lambda
  • Data Processing: AWS Glue, EMR, Step Functions
  • Data Storage: S3, DynamoDB, Redshift
  • Governance & Observability: DataZone, CloudWatch, CloudTrail
Technical Skills
  • Expert-level proficiency in Python and SQL (Spark SQL, T-SQL, or similar)
  • Deep experience with Apache Spark (PySpark) for distributed data processing
  • Strong knowledge of data lake table formats: Apache Iceberg, Delta Lake, or Apache Hudi
  • Proficiency with dimensional modeling and data warehouse design patterns
  • Experience with infrastructure as code and CI/CD pipelines (GitHub Actions, Terraform, or CloudFormation)
  • Familiarity with data serialization formats (Parquet, Avro, JSON)
Architecture & Design
  • Experience designing medallion architectures or similar tiered data processing patterns
  • Understanding of CDC (Change Data Capture) patterns and event-driven architectures
  • Knowledge of data lineage, cataloging, and metadata management
  • Experience implementing row-level security and data access controls
Preferred Qualifications
  • Experience with observability frameworks such as OpenTelemetry
  • Familiarity with data validation libraries (Pydantic, Great Expectations)
  • Experience with async Python (asyncio, aioboto3) for high-throughput applications
  • Knowledge of Kubernetes and containerized workloads
  • Experience with data mesh or data product architectures
  • Background in legal, financial, or enterprise SaaS domains
Technical Environment
You will work with:
  • Languages: Python, SQL, Spark SQL
  • Compute: AWS Glue 5.0, Lambda, Step Functions
  • Storage: S3, DynamoDB, Redshift Serverless
  • Formats: Apache Iceberg, Parquet, JSON
  • Orchestration: AWS Step Functions, EventBridge
  • CI/CD: GitHub Actions, multi-environment deployments
  • Observability: CloudWatch, OpenTelemetry, custom metrics pipelines

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