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Data Engineer Jobs in Suwanee, GA (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means thatthere'smore structured and unstructured data available today than ever ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Data Engineer

Alpharetta, GA · On-site

$129K/yr

Summary The Data Engineer is a member of the Data & AI team, accountable for building and maintaining scalable data pipelines, models, and semantic layers that power analytics, business intelligence ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We're looking for a Data Engineer to join our ever evolving Data Engineering & Platform Team and help shape the future of global commerce. In this role, you'll lead the architecture and evolution of ...

New

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

We're looking for a Data Engineer to join our ever evolving Data Engineering & Platform Team and help shape the future of global commerce. In this role, you'll lead the architecture and evolution of ...

New

Data Engineer

Gainesville, GA · On-site

$106K - $128K/yr

Data Engineer Client: Mansfield Position: Fulltime or C2C Job Summary We are seeking an experienced Data Engineer with strong expertise in Microsoft Azure and SQL to design, develop, and optimize ...

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... as Data Engineer or Data Scientist or Database Engineer or DBA or Team Lead or Manager or Engineering consultant or Software Engineer or Developer or Analyst or Consultant or related IT positions.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

Data Engineer

Atlanta, GA · On-site +1

$155K - $165K/yr

The Role Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In this role, you'll own Alt's critical data infrastructure that powers our pricing ...

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

Showing results 21-40

Data Engineer information

See Suwanee, GA salary details

$41.4K

$120.7K

$165.2K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Suwanee, GA is $120,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,000.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Suwanee, GA? The most popular types of Data Engineer jobs in Suwanee, GA are:
What job categories do people searching Data Engineer jobs in Suwanee, GA look for? The top searched job categories for Data Engineer jobs in Suwanee, GA are:
What cities near Suwanee, GA are hiring for Data Engineer jobs? Cities near Suwanee, GA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Suwanee, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,735 per year, or $58 per hour.

Data Engineer

Cargill

Atlanta, GA • On-site

$113K - $136K/yr

Other

Posted 15 days ago


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact

The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities
  • DATA & ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  • DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
  • DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
  • STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
Qualifications

Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Qualifications

  • CLOUD ENVIRONMENTS: Familiarity with major cloud platforms (AWS, GCP, Azure). 
  • DATA ARCHITECTURE: Experience with modern data architectures, including data lakes, data lakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability. 
  • DATA INGESTION: Proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet). 
  • DATA STREAMING: Knowledge of streaming architectures and tools (Kafka, Flink). 
  • DATA MODELING: Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow). Experience with modeling concepts like SCD and schema evolution. 
  • DATA TRANSFORMATION: Familiarity with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI. 
  • PROGRAMMING: Proficient with programming in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization. 
  • DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies. 
  • DATA GOVERNANCE: Understanding of data governance principles, including data quality, privacy, and security considerations for data product development and consumption. 


The business will not sponsor applicants for work visa for this position.

Equal Opportunity Employer, including Disability/Vet.


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US