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Data Engineer Jobs in Cumming, GA (NOW HIRING)

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position Overview The Quality Assurance Data Engineer plays a critical role in validating the integrity ...

ProArch

Data Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

Annmashburn

Data Engineer

Atlanta, GA · On-site

$90 - $130/hr

We are seeking a Data Engineer to join our internal data team and take hands-on ownership of our existing data warehouse and dbt environment built on Google BigQuery. This role focuses on maintaining ...

Socket.dev

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 - Quality Assurance (AI & Data Platforms) Location: Atlanta, Ga 30309 Duration: 10 Months Client- Southern Company Gas Position Overview We are seeking an experienced Data Engineer ...

ProArch

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

Grace Hire IT Staffing

Data Engineer (Full-time)

Atlanta, GA · On-site

$110K - $132K/yr

Role Description The Data Engineer role at Grace Hire IT Staffing is a full-time, on-site position based in Atlanta, GA. In this role, the Data Engineer will design, build, and maintain data ...

Reply

Data Engineer

Atlanta, GA

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Reply

Data Engineer

Atlanta, GA

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Inspire Brands

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

CEDENT

GCP Data Engineer

Alpharetta, GA

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA

$110K - $132K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

FanDuel

Data Engineer

Atlanta, GA · On-site

$116 - $145/hr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

4pconsultinginc

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines * Combine raw data from multiple sources into clean, structured ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA

$58 - $60/hr

DATA Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid - 3 days on-site) We are looking for a highly capable Data Engineer to design, build, and maintain ...

innovitusa

Azure Data Engineer

Atlanta, GA

$110K - $132K/yr

W2 Candidates Only We are seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong ...

3B Staffing LLC

Data engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Senior Data Engineer will play a leading role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Cumming, GA

Data Engineer information

See Cumming, GA salary details

$39.7K

$115.7K

$158.3K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Cumming, GA is $115,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Cumming, GA?

The most popular types of Data Engineer jobs in Cumming, GA are:

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For Data Engineer jobs in Cumming, GA, the most frequently searched job titles are:

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The top searched job categories for Data Engineer jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Data Engineer jobs?

Cities near Cumming, GA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Cumming, GA as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $115,717 per year, or $55.6 per hour.

Data Engineer

ProArch

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Contractor

Posted 12 days ago

Key responsibilities

  • Architect and implement scalable data pipelines to process and integrate structured and unstructured data.

  • Design end-to-end data solutions, including Data Lake, Data Warehouse, and Data Mart, to support analytics and operational systems.

  • Partner with business users and subject matter experts to gather reporting requirements and deliver actionable analytics solutions.

Job description

Key Responsibilities/ Accountabilities: Listing of key responsibilities / major activities necessary to fulfill the position's purpose. If possible, please include the percentage of time spent on each key responsibility.
Advanced Data Engineering and Solution Design (80%)
  • Architect and implement scalable data pipelines to process and integrate structured and unstructured data.
  • Design end-to-end data solutions, including Data Lake, Data Warehouse, and Data Mart, to support analytics and operational systems.
  • Leverage UDP framework to consolidate data pipelines across healthcare domains.
  • Support the integration of new data domains through standardized ingestion and transformation frameworks.
  • Collaborate with stakeholders to translate business requirements into scalable, high-performing data architectures.
  • Integrate and optimize data access across distributed systems using data federation and virtualization tools
  • Develop reusable data assets to support self-service analytics across programs and business domains.
  • Design and maintain enterprise dimensional data models including fact tables, conformed dimensions, star schemas, snowflake schemas, and analytical data marts.
  • Translate business and reporting requirements into scalable analytical data structures and semantic data models.
  • Develop and maintain semantic layers, curated datasets, and business views to support enterprise reporting and analytics.
  • Design, develop, and maintain Power BI semantic models, datasets, dashboards, and reports for internal and external stakeholders.
  • Create and optimize DAX measures, calculated columns, KPIs, and business metrics to support operational and strategic reporting.
  • Implement Power BI best practices including Row-Level Security (RLS), deployment pipelines, performance optimization, and governance standards.
  • Partner with business users and subject matter experts to gather reporting requirements and deliver actionable analytics solutions.
  • Ensure consistency of business definitions, metrics, and calculations across enterprise reporting and analytics platforms.

Data Governance and Compliance (10%)
  • Develop and enforce data governance standards, ensuring consistency, accuracy, and compliance with regulatory frameworks (e.g, HIPAA).
  • Implement data lineage, metadata management, and auditability practices using tools like AWS Glue Data Catalog.
  • Establish and manage data stewardship frameworks to improve data quality and trust across the organization.

Performance Optimization and Security (10%)
  • Optimize system performance by designing and implementing data partitioning, indexing, and compression strategies.
  • Ensure data security through access controls, encryption, and secure design practices.

Requirements
Core Competencies
  • Experience with enterprise data modeling tools (e.g., Erwin, SQL Data Modeler) and strong expertise in dimensional modeling methodologies including Star Schema, Snowflake Schema, Fact and Dimension design, and semantic modeling.
  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 8+ years of experience in data engineering, with a strong emphasis on data governance and solution design.
  • Expertise in developing scalable data architectures for enterprise reporting
  • Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment.
  • Advanced knowledge of data governance tools and frameworks, including AWS Glue Data Catalog, to support enterprise-wide lineage, metadata, and compliance practices.
  • Strong understanding of cloud data platforms and services - particularly AWS (Redshift, S3, EMR, Lambda) and hybrid integrations with Azure Synapse or equivalent modern data warehouse technologies.
  • Proficiency in programming and scripting languages (Python, SQL, PySpark) for building testing and optimizing scalable data solutions.
  • Advanced experience developing Power BI semantic models, datasets, dashboards, reports, DAX measures, Power Query transformations, Row-Level Security, and performance optimization. Experience with Tableau is a plus.

Additional Qualifications:
  • Excellent analytical and troubleshooting skills with attention to detail.
  • Strong communication skills to effectively articulate technical concepts to non-technical stakeholders.
  • Ability to prioritize tasks in a dynamic environment and manage multiple initiatives simultaneously.
  • Certifications in cloud, database, and programming are a plus.

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